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Journal articles on the topic 'Location scheme'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Du, Yongwen, Gang Cai, Xuejun Zhang, Ting Liu, and Jinghua Jiang. "An Efficient Dummy-Based Location Privacy-Preserving Scheme for Internet of Things Services." Information 10, no. 9 (2019): 278. http://dx.doi.org/10.3390/info10090278.

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With the rapid development of GPS-equipped smart mobile devices and mobile computing, location-based services (LBS) are increasing in popularity in the Internet of Things (IoT). Although LBS provide enormous benefits to users, they inevitably introduce some significant privacy concerns. To protect user privacy, a variety of location privacy-preserving schemes have been recently proposed. Among these schemes, the dummy-based location privacy-preserving (DLP) scheme is a widely used approach to achieve location privacy for mobile users. However, the computation cost of the existing dummy-based l

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2

Rao, Huaming, Shih-Wen Huang, and Wai-Tat Fu. "What Will Others Choose? How a Majority Vote Reward Scheme Can Improve Human Computation in a Spatial Location Identification Task." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 (November 3, 2013): 130–37. http://dx.doi.org/10.1609/hcomp.v1i1.13082.

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We created a spatial location identification task (SpLIT) in which workers recruited from Amazon Mechanical Turk were presented with a camera view of a location, and were asked to identify the location on a two-dimensional map. In cases where these cues were ambiguous or did not provide enough information to pinpoint the exact location, workers had to make a best guess. We tested the effects of two reward schemes. In the “ground truth” scheme, workers were rewarded if their answers were close enough to the correct locations. In the “majority vote” scheme, workers were told that they would be r

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Shin, Yongje, Jeongcheol Lee, and Euisin Lee. "Energy Balancing and Lifetime Extension: A Random Quorum-Based Sink Location Service Scheme for Wireless Sensor Networks." Sensors 25, no. 13 (2025): 4078. https://doi.org/10.3390/s25134078.

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Geographic routing is an appealing method for wireless sensor networks, as it routes data packets solely based on nodes’ location information rather than global network topology. A fundamental requirement for geographic routing is that source nodes must know the locations of sink nodes to deliver their data. To efficiently provide sink location information, quorum-based sink location service schemes have been introduced, using crossing points between sink location announcement (SLA) and sink location query (SLQ) quorums. However, existing quorum-based schemes typically construct quorums along

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Chen, Chien-Sheng, Jiing-Dong Hwang, Chyuan-Der Lu, and Ting-Yuan Yeh. "Cost-Effective Location Management for Mobile Agents on the Internet." Journal of Sensors 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/915648.

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Many mobile agent system-related services and applications require interacting with a mobile agent by passing messages. However, an agent’s mobility raises several challenges in delivering messages to a mobile agent accurately. Consisting of tracking and message delivery phases, most mobile agent location management schemes create or receive many update messages and interaction messages to ensure the effectiveness of the schemes. In addition to downgrading the overall performance of a mobile agent location management scheme, excessive transmission of messages increases the network load. The mi

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Li, Guangming, Menghui Xu, Gaofei Teng, et al. "A Voronoi Diagram-Based Grouping Test Localization Scheme in Wireless Sensor Networks." Electronics 11, no. 18 (2022): 2961. http://dx.doi.org/10.3390/electronics11182961.

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The wireless sensor network (WSN) provides us with a cost-effective way to remotely monitor a large number of objects, locations, and environmental parameters. Taking advantage of WSNs to applications can add new capabilities to existing products and bring out new services. We propose a novel range-free localization scheme, the Voronoi diagram-based grouping test localization (VTL) scheme, to estimate the location efficiently for WSNs. VTL divides the anchor nodes into multiple groups and uses the corresponding closest Voronoi cells to compute the estimated location. Apart from improving the a

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Mutalemwa, Lilian, and Seokjoo Shin. "Strategic Location-Based Random Routing for Source Location Privacy in Wireless Sensor Networks." Sensors 18, no. 7 (2018): 2291. http://dx.doi.org/10.3390/s18072291.

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Wireless sensor networks (WSNs) are deployed in sensitive applications, such as in military and asset monitoring. In these applications, it is important to ensure good source location privacy. This is owing to the open nature of WSNs and the easiness of an adversary to eavesdrop on sensor communication and back trace the location of the source node. This paper proposes a scheme to preserve the source location privacy based on random routing techniques. To achieve high privacy, packets are randomly routed from the source to the sink node through strategically positioned mediate or diversion nod

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Siuta, David, Gregory West, and Roland Stull. "WRF Hub-Height Wind Forecast Sensitivity to PBL Scheme, Grid Length, and Initial Condition Choice in Complex Terrain." Weather and Forecasting 32, no. 2 (2017): 493–509. http://dx.doi.org/10.1175/waf-d-16-0120.1.

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Abstract This study evaluates the sensitivity of wind turbine hub-height wind speed forecasts to the planetary boundary layer (PBL) scheme, grid length, and initial condition selection in the Weather Research and Forecasting (WRF) Model over complex terrain. Eight PBL schemes available for the WRF-ARW dynamical core were tested with initial conditions sources from the North American Mesoscale (NAM) model and Global Forecast System (GFS) to produce short-term wind speed forecasts. The largest improvements in forecast accuracy primarily depended on the grid length or PBL scheme choice, although

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Letshedi, Tokelo Irene, Jean-Claude Malela-Majika, and Sandile Charles Shongwe. "New extended distribution-free homogenously weighted monitoring schemes for monitoring abrupt shifts in the location parameter." PLOS ONE 17, no. 1 (2022): e0261217. http://dx.doi.org/10.1371/journal.pone.0261217.

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A homogeneously weighted moving average (HWMA) monitoring scheme is a recently proposed memory-type scheme that gained its popularity because of its simplicity and superiority over the exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) schemes in detecting small disturbances in the process. Most of the existing HWMA schemes are designed based on the assumption of normality. It is well-known that the performance of such monitoring schemes degrades significantly when this assumption is violated. Therefore, in this paper, three distribution-free monitoring schemes are develop

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Wang, Qiuhua, Tianyu Xia, Yizhi Ren, Lifeng Yuan, and Gongxun Miao. "A New Blockchain-Based Multi-Level Location Secure Sharing Scheme." Applied Sciences 11, no. 5 (2021): 2260. http://dx.doi.org/10.3390/app11052260.

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Currently, users’ location information is collected to provide better services or research. Using a central server to collect, store and share location information has inevitable defects in terms of security and efficiency. Using the point-to-point sharing method will result in high computation overhead and communication overhead for users, and the data are hard to be verified. To resolve these issues, we propose a new blockchain-based multi-level location secure sharing scheme. In our proposed scheme, the location data are set hierarchically and shared with the requester according to the user

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Jiang, Jinyu, Xu Zhao, Weiyou Guo, and Zhongzhen Yang. "Scheme of Overloaded Truck Control on a Rural Highway." Promet - Traffic&Transportation 32, no. 6 (2020): 797–810. http://dx.doi.org/10.7307/ptt.v32i6.3392.

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A new working mode of overloaded traffic control for rural highways is presented, and a location-routing model is built to optimize the check base distribution and the control vehicles’ routing schemes. Then, for the location-routing model with a large set of location alternatives and an unknown settable number of check bases, a multiple ant colony optimization algorithm is designed to solve the model. Furthermore, actual data from Guiyang rural highways are used to perform a numerical analysis. The results indicate that the model can be used to obtain the optimal base location-vehicle routing

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Chong, Zhi Lin, Shuo Huang, Amitava Mukherjee, and Jun Yang. "Performance comparisons of distribution-free Shewhart-type Lepage and Cucconi schemes in monitoring complex process distributions." Transactions of the Institute of Measurement and Control 42, no. 14 (2020): 2787–811. http://dx.doi.org/10.1177/0142331220932466.

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In recent years, researchers introduced several distribution-free schemes for simultaneously monitoring the location and scale parameters of distribution in the literature related to process monitoring and control. To this end, the Shewhart-Lepage (SL) and Shewhart-Cucconi (SC) schemes are two fundamental distribution-free schemes. These schemes are primarily designed to monitor the location-scale family of densities. In practice, apart from the location and scale parameters, we often encounter the presence of a shape (or skewness) parameter. In this article, we investigate the performance of

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Yang, Dongdong, Baopeng Ye, Wenyin Zhang, Huiyu Zhou, and Xiaobin Qian. "KLPPS: A k-Anonymous Location Privacy Protection Scheme via Dummies and Stackelberg Game." Security and Communication Networks 2021 (December 7, 2021): 1–15. http://dx.doi.org/10.1155/2021/9635411.

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Protecting location privacy has become an irreversible trend; some problems also come such as system structures adopted by location privacy protection schemes suffer from single point of failure or the mobile device performance bottlenecks, and these schemes cannot resist single-point attacks and inference attacks and achieve a tradeoff between privacy level and service quality. To solve these problems, we propose a k-anonymous location privacy protection scheme via dummies and Stackelberg game. First, we analyze the merits and drawbacks of the existing location privacy preservation system arc

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Tsai, Fuan, Yih Shyh Chiou, and Huan Chang. "A Positioning Scheme Combining Kalman Filtering with Vision Assisting for Wireless Sensor Networks." Applied Mechanics and Materials 284-287 (January 2013): 2009–14. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2009.

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This paper presents the performance of an adaptive location estimator combining Kalman filtering (KF) scheme with vision-assisted scheme for wireless sensor networks. To improve the location accuracy, a KF tracking scheme is employed at a mobile terminal to track variations of the location estimate. In addition, with a vision-assisted calibration technique based on the normalized cross-correlation scheme, the proposed approach is an accuracy enhancement procedure that effectively removes system errors causing uncertainty in measuring a dynamic environment. Therefore, using the vision-assisted

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Xudong, Yang, Gao Ling, Li Yan, et al. "A Blockchain-Based Location Privacy-Preserving Scheme in Location-Based Service." Mobile Information Systems 2022 (April 6, 2022): 1–16. http://dx.doi.org/10.1155/2022/1931451.

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With the rapid popularization and development of location-based services (LBS), location privacy preserving has become a mainstream concern. Existing anonymity-based methods rely mainly on anonymous location selection based on geographic information, which neglects the semantic information on the location, and behavior of self-interested users may raise a privacy vulnerability. A blockchain-based approach for location privacy protection schemes has been proposed to address these issues. In this scheme, the privacy level of the location is improved using private chain-based collaborative anonym

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Peng, Tao, Qin Liu, and Guojun Wang. "Enhanced Location Privacy Preserving Scheme in Location-Based Services." IEEE Systems Journal 11, no. 1 (2017): 219–30. http://dx.doi.org/10.1109/jsyst.2014.2354235.

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Huang, Zhenjie, Yafeng Guo, Hui Huang, Runlong Duan, and Xiaolong Zhao. "Analysis and Improvement of Blockchain-Based Multilevel Privacy-Preserving Location Sharing Scheme for Telecare Medical Information Systems." Security and Communication Networks 2022 (January 18, 2022): 1–15. http://dx.doi.org/10.1155/2022/1926902.

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Patient location sharing is an important part of modern smart healthcare and mobile medical services. Blockchain has many attractive properties and is suitable for managing patient locations in telecare medical information systems (TMIS). Recently, Ji et al. proposed a blockchain-based multilevel privacy-preserving location sharing (BMPLS) scheme for TMIS. In this paper, we show that Ji et al.’s BMPLS scheme does not achieve confidentiality and multilevel privacy-preserving. An adversary outside the system can use an ordinary personal computer to completely break the system within a dozen hour

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17

Dai, Zhiguo, and Jichao Li. "A location-based service scheme with attribute information privacy." PLOS ONE 19, no. 9 (2024): e0309919. http://dx.doi.org/10.1371/journal.pone.0309919.

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In location-based service (LBS), private information retrieval (PIR) is an efficient strategy used for preserving personal privacy. However, schemes with traditional strategy that constructed by information indexing are usually denounced by its processing time and ineffective in preserving the attribute privacy of the user. Thus, in order to cope with above two weaknesses, in this paper, based on the conception of ciphertext policy attribute-based encryption (CP-ABE), a PIR scheme based on CP-ABE is proposed for preserving the personal privacy in LBS (location privacy preservation scheme with

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Isokawa, Teijiro, Shun Motomura, Junya Ohtsuka, et al. "An Anchor-Free Localization Scheme with Kalman Filtering in ZigBee Sensor Network." ISRN Sensor Networks 2013 (February 28, 2013): 1–11. http://dx.doi.org/10.1155/2013/356231.

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A localization scheme for wireless sensor networks is proposed and its performances are investigated in this paper. The proposed scheme is an anchor-free scheme, in which no geometrical information of sensor nodes is required for their localization. Thus, only local interaction among sensor nodes is used to estimate their locations. This scheme employs the link quality indicator and hop count between sensor nodes for location estimation. A weighted averaging and Kalman filtering schemes are incorporated in order to reduce the effects of the measurement errors in the obtained values of the link

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Bayati, Navid, Lasse Kappel Mortensen, Mehdi Savaghebi, and Hamid Reza Shaker. "A Localized Transient-Based Fault Location Scheme for Distribution Systems." Sensors 22, no. 7 (2022): 2723. http://dx.doi.org/10.3390/s22072723.

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Many distribution systems have several branches with only one protection system at the upstream system. This characteristic degrades the performance of traditional fault location schemes. In this paper, a localized fault location method based on the transient behavior of fault currents by using local data is proposed. The proposed scheme uses only local current and the voltage of the upstream overcurrent relay as input data of the fault location scheme. The formulation considers fault resistance, loads, and different fault locations. Furthermore, due to the usage of transient fault current dat

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20

Jiang, Han, and Hequn Xian. "A Sensitivity-based Location Privacy Protection Scheme in Vehicular Networks." Frontiers in Computing and Intelligent Systems 5, no. 3 (2023): 69–75. http://dx.doi.org/10.54097/fcis.v5i3.13858.

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In recent times, the issue of vehicle location privacy has received increasing attention. Location-based services (LBSs) require users’ location information to be constantly updated to service providers, which causes the location information to be speculated and attacked by malicious entities. The pseudonym schemes offer a viable solution to the aforementioned problem, but existing pseudonym schemes do not provide differentiated protection for users’ varying locations, thereby increasing the possibility of location information leakage. To address this concern, we propose a sensitivity-based ps

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Chen, Ming, Wenzhong Li, Xu Chen, Zhuo Li, Sanglu Lu, and Daoxu Chen. "LPPS: A Distributed Cache Pushing BasedK-Anonymity Location Privacy Preserving Scheme." Mobile Information Systems 2016 (2016): 1–16. http://dx.doi.org/10.1155/2016/7164126.

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Recent years have witnessed the rapid growth of location-based services (LBSs) for mobile social network applications. To enable location-based services, mobile users are required to report their location information to the LBS servers and receive answers of location-based queries. Location privacy leak happens when such servers are compromised, which has been a primary concern for information security. To address this issue, we propose the Location Privacy Preservation Scheme (LPPS) based on distributed cache pushing. Unlike existing solutions, LPPS deploys distributed cache proxies to cover

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Mutalemwa, Lilian, and Seokjoo Shin. "Achieving Source Location Privacy Protection in Monitoring Wireless Sensor Networks through Proxy Node Routing." Sensors 19, no. 5 (2019): 1037. http://dx.doi.org/10.3390/s19051037.

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Achieving high source location privacy is critical when Wireless Sensor Networks (WSNs) are used in sensitive applications such as in asset or battlefield monitoring. Due to the sensitivity of information in these applications, it is important to ensure the flow of data between sensor nodes is secure and it does not expose any information about the monitored assets to an adversary. This paper proposes a routing scheme with stronger source location privacy than the privacy of traditional routing schemes. The paper addresses some limitations of four existing schemes by providing highly random ro

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Abu Znaid, Ammar M. A., Mohd Yamani Idna Idris, Ainuddin Wahid Abdul Wahab, Liana Khamis Qabajeh, and Omar Adil Mahdi. "Sequential Monte Carlo Localization Methods in Mobile Wireless Sensor Networks: A Review." Journal of Sensors 2017 (2017): 1–19. http://dx.doi.org/10.1155/2017/1430145.

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The advancement of digital technology has increased the deployment of wireless sensor networks (WSNs) in our daily life. However, locating sensor nodes is a challenging task in WSNs. Sensing data without an accurate location is worthless, especially in critical applications. The pioneering technique in range-free localization schemes is a sequential Monte Carlo (SMC) method, which utilizes network connectivity to estimate sensor location without additional hardware. This study presents a comprehensive survey of state-of-the-art SMC localization schemes. We present the schemes as a thematic tax

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Sun, Yanlong, Yazhou Yuan, Qimin Xu, Changchun Hua, and Xinping Guan. "A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks." Sensors 19, no. 20 (2019): 4369. http://dx.doi.org/10.3390/s19204369.

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In this paper, a mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks (UWSNs) is proposed, which aims to improve location accuracy and shorten location time. First, to improve location accuracy, we design a support vector regression (SVR) based interpolation method to estimate the projection of sensor nodes on the linear trajectory of the mobile anchor node. The proposed method increases the accuracy of the nonlinear regression model of noisy measured data and synchronously decreases the estimation error caused by the discreteness of measured data. Second

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Luo, Jia-Ning, and Ming-Hour Yang. "Unchained Cellular Obfuscation Areas for Location Privacy in Continuous Location-Based Service Queries." Wireless Communications and Mobile Computing 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/7391982.

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To access location-based service (LBS) and query surrounding points of interest (POIs), smartphone users typically use built-in positioning functions of their phones when traveling at unfamiliar places. However, when a query is submitted, personal information may be leaked when they provide their real location. Current LBS privacy protection schemes fail to simultaneously consider real map conditions and continuous querying, and they cannot guarantee privacy protection when the obfuscation algorithm is known. To provide users with secure and effective LBSs, we developed an unchained regional p

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Biswash, Sanjay Kumar, and Chiranjeev Kumar. "A Novel Prediction-Based Location Management Technique for Mobile Networks." International Journal of Mobile Computing and Multimedia Communications 5, no. 4 (2013): 15–34. http://dx.doi.org/10.4018/ijmcmc.2013100102.

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In this paper, the authors have proposed a new prediction-based location management scheme for cellular networks. The current mobile switching centre predicts the previous mobile switching center of user, and then imports the data about the mobile terminal from that. For this purpose it uses a prediction table, which is based on the neighboring location areas. The analytical model and formulation presents the conceptual schema of proposed scheme. The performance comparisons and numerical analysis is helpful to find out the efficiency and effectiveness of the proposed system, with respect to ex

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Zhang, Lei, Jing Li, Songtao Yang, Yi Liu, Xu Zhang, and Yue Sun. "A Markov Prediction-Based Privacy Protection Scheme for Continuous Query." Journal of Circuits, Systems and Computers 28, no. 09 (2019): 1950147. http://dx.doi.org/10.1142/s0218126619501470.

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The query probability of a location which the user utilizes to request location-based service (LBS) can be used as background knowledge to infer the real location, and then the adversary may invade the privacy of this user. In order to cope with this type of attack, several algorithms had provided query probability anonymity for location privacy protection. However, these algorithms are all efficient just for snapshot query, and simply applying them in the continuous query may bring hazards. Especially that, continuous anonymous locations which provide query probability anonymity in continuous

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Liu, Bin, Chunyong Zhang, Liangwei Yao, and Yang Xin. "GLPS: A Geohash-Based Location Privacy Protection Scheme." Entropy 25, no. 12 (2023): 1569. http://dx.doi.org/10.3390/e25121569.

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With the development of mobile applications, location-based services (LBSs) have been incorporated into people’s daily lives and created huge commercial revenues. However, when using these services, people also face the risk of personal privacy breaches due to the release of location and query content. Many existing location privacy protection schemes with centralized architectures assume that anonymous servers are secure and trustworthy. This assumption is difficult to guarantee in real applications. To solve the problem of relying on the security and trustworthiness of anonymous servers, we

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Lee, Jeongpyo, Kyungeun Park, and Youngok Kim. "Deep Learning-Based Device-Free Localization Scheme for Simultaneous Estimation of Indoor Location and Posture Using FMCW Radars." Sensors 22, no. 12 (2022): 4447. http://dx.doi.org/10.3390/s22124447.

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Indoor device-free localization (DFL) systems are used in various Internet-of-Things applications based on human behavior recognition. However, the usage of camera-based intuitive DFL approaches is limited in dark environments and disaster situations. Moreover, camera-based DFL schemes exhibit certain privacy issues. Therefore, DFL schemes with radars are increasingly being investigated owing to their efficient functioning in dark environments and their ability to prevent privacy issues. This study proposes a deep learning-based DFL scheme for simultaneous estimation of indoor location and pos

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Dr.S.Suresh, Dr S. Suresh. "UBLS - USER-BASED LOCATION SELECTION SCHEME FOR PRESERVING LOCATION PRIVACY." Journal of Science and Technology 8, no. 4 (2023): 40–45. http://dx.doi.org/10.46243/jst.2023.v8.i04.pp40-45.

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Zhu, Liang, Xiaowei Liu, Liping Yu, Zengyu Cai, and Jianwei Zhang. "Blockchain-Enabled Privacy-Preserving Location Sharing Scheme for LBSNs." Mobile Information Systems 2021 (June 30, 2021): 1–15. http://dx.doi.org/10.1155/2021/9997887.

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The rise of Internet of Things (IoT) technology promotes the rapid development of location services industry. The idea of smart connectivity also provides a new direction for Location-Based Social Networks (LBSNs). However, due to limited calculate ability and internal storage space of IoT devices, historical location data of users is generally stored in the central server, which is likely to cause the disclosure of users’ private data. In this paper, we propose a Blockchain-enabled Privacy-Preserving Location Sharing (B-PPLS) scheme, which is a new framework that not only protects user locati

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Ullah, Ikram, Munam Ali Shah, Abid Khan, Carsten Maple, Abdul Waheed, and Gwnaggil Jeon. "A Distributed Mix-Context-Based Method for Location Privacy in Road Networks." Sustainability 13, no. 22 (2021): 12513. http://dx.doi.org/10.3390/su132212513.

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Preserving location privacy is increasingly an essential concern in Vehicular Adhoc Networks (VANETs). Vehicles broadcast beacon messages in an open form that contains information including vehicle identity, speed, location, and other headings. An adversary may track the various locations visited by a vehicle using sensitive information transmitted in beacons such as vehicle identity and location. By matching the vehicle identity used in beacon messages at various locations, an adversary learns the location history of a vehicle. This compromises the privacy of the vehicle driver. In existing r

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Zhang, Yun, Zuhang Wu, Lifeng Zhang, and Hepeng Zheng. "A Comparison of Spectral Bin Microphysics versus Bulk Parameterization in Forecasting Typhoon In-Fa (2021) before, during, and after Its Landfall." Remote Sensing 14, no. 9 (2022): 2169. http://dx.doi.org/10.3390/rs14092169.

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Typhoon In-Fa hit continental China in July 2021 and caused an unprecedented rainfall amount, making it a typical case to examine the ability of numerical models in forecasting landfalling typhoons. The record-breaking storm was simulated using a 3-km-resolution weather research and forecast (WRF) model with spectral bin microphysics scheme (BIN) and two-moment seven-class bulk parameterization scheme (BULK). The simulations were then separated into three different typhoon landfall periods (i.e., pre-landfall, landfall, and post-landfall). It was found that typhoon intensity prediction is sens

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Fan, Nai-Qing, A.-Xing Zhu, Cheng-Zhi Qin, and Peng Liang. "Digital Soil Mapping over Large Areas with Invalid Environmental Covariate Data." ISPRS International Journal of Geo-Information 9, no. 2 (2020): 102. http://dx.doi.org/10.3390/ijgi9020102.

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Environmental covariates are fundamental inputs of digital soil mapping (DSM) based on the soil–environment relationship. It is normal to have invalid values (or recorded as NoData value) in individual environmental covariates in some regions over an area, especially over a large area. Among the two main existing ways to deal with locations with invalid environmental covariate data in DSM, the location-skipping scheme does not predict these locations and, thus, completely ignores the potentially useful information provided by valid covariate values. The void-filling scheme may introduce errors

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Manju, A. B., and Sumathy Subramanian. "Fog-Assisted Privacy Preservation Scheme for Location-Based Services Based on Trust Relationship." International Journal of Grid and High Performance Computing 12, no. 4 (2020): 48–62. http://dx.doi.org/10.4018/ijghpc.2020100104.

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With advancements in smart mobile devices and their capabilities, location-based services have gained utmost importance, as its individual and social benefits are enormous. Users of location-based services have a concern to the security issues posed by its usage as the location service providers track the users' interests, behavior, and identity information. Most of the location-based services are launched from mobile phones that have stringent resources; hence incorporating encryption schemes becomes tedious, and further, dual identity attacks uncover the encrypted message. A fog-assisted pri

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Liu, Zhenpeng, Dewei Miao, Ruilin Li, Yi Liu, and Xiaofei Li. "Cache-Based Privacy Protection Scheme for Continuous Location Query." Entropy 25, no. 2 (2023): 201. http://dx.doi.org/10.3390/e25020201.

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Users who initiate continuous location queries are prone to trajectory information leakage, and the obtained query information is not effectively utilized. To address these problems, we propose a continuous location query protection scheme based on caching and an adaptive variable-order Markov model. When a user initiates a query request, we first query the cache information to obtain the required data. When the local cache cannot satisfy the user’s demand, we use a variable-order Markov model to predict the user’s future query location and generate a k-anonymous set based on the predicted loc

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Ma, Chunguang, Lei Zhang, Songtao Yang, and Xiaodong Zheng. "Hiding Yourself Behind Collaborative Users When Using Continuous Location-Based Services." Journal of Circuits, Systems and Computers 26, no. 07 (2017): 1750119. http://dx.doi.org/10.1142/s0218126617501195.

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The prosperity of location-based services (LBSs) makes more and more people pay close attention to personal privacy. In order to preserve users privacy, several schemes utilized a trusted third party (TTP) to obfuscate users, but these schemes were suspected as the TTP may become the single point of failure or service performance bottleneck. To alleviate the suspicion, schemes with collaborative users to achieve [Formula: see text]-anonymity were proposed. In these schemes, users equipped with short-range communication devices could communicate with adjacent users to establish an anonymous gro

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Qu, Jiaxing, Guoyin Zhang, and Zhou Fang. "Prophet: A Context-Aware Location Privacy-Preserving Scheme in Location Sharing Service." Discrete Dynamics in Nature and Society 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/6814832.

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Location sharing service has become an indispensable part in mobile social networks. However, location sharing may introduce a new class of privacy threats ranging from localizing an individual to profiling and identifying him based on the places he shared. Although users may avoid releasing geocontent in sensitive locations, it does not necessarily prevent the adversary from inferring users’ privacy through space-temporal correlations and historical information. In this paper, we design a Prophet framework, which provides an effective security scheme for users sharing their location informati

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Moloi, Katleho, Nomihla Wandile Ndlela, and Innocent E. Davidson. "Fault Classification and Localization Scheme for Power Distribution Network." Applied Sciences 12, no. 23 (2022): 11903. http://dx.doi.org/10.3390/app122311903.

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In this paper, a fault protection diagnostic scheme for a power distribution system is proposed. The scheme comprises a wavelet packet decomposition (WPD) for signal processing and analysis and a support vector machine (SMV) for fault classification and location. The scheme is tested on a reduced Eskom 132 kV power line. The WPD is used to extract fault signatures of interest and the SVM is subsequently used for fault classification and locating various fault conditions. Furthermore, we investigate the effectiveness of the SVM scheme using different samples of the cycles for fault classificati

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Yoon, Min, Hyeong-il Kim, Miyoung Jang, and Jae-Woo Chang. "A New Spatial Transformation Scheme for Preventing Location Data Disclosure in Cloud Computing." International Journal of Data Warehousing and Mining 10, no. 4 (2014): 26–49. http://dx.doi.org/10.4018/ijdwm.2014100102.

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Because much interest in spatial database for cloud computing has been attracted, studies on preserving location data privacy have been actively done. However, since the existing spatial transformation schemes are weak to a proximity attack, they cannot preserve the privacy of users who enjoy location-based services in the cloud computing. Therefore, a transformation scheme is required for providing a safe service to users. We, in this paper, propose a new transformation scheme based on a line symmetric transformation (LST). The proposed scheme performs both LST-based data distribution and err

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Wu, Tie Jun, Long Gen Li, and Hui Yuan Cao. "A New Algorithm of Design of Fixturing Scheme Based on RBR and CBR." Advanced Materials Research 706-708 (June 2013): 1847–51. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.1847.

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Fixture is technological equipment which is able to determine the location of the workpiece accurately and clamp the workpiece steadily. A good fixturing scheme could help improve the quality of products. A new design algorithm of fixturing scheme based on RBR and CBR is developed. The appropriate parts feature information model is decided based on requirements of design of fixturing scheme. The rules of constraint of DOFs and the rules of fuzzy inference are used to determine the correctness of the scheme location of the workpiece according to requirements of machining dimensions and the geom

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Yang, Guangcan, Yunhua He, Ke Xiao, Qifeng Tang, Yang Xin, and Hongliang Zhu. "Privacy-Preserving Query Scheme (PPQS) for Location-Based Services in Outsourced Cloud." Security and Communication Networks 2022 (January 21, 2022): 1–16. http://dx.doi.org/10.1155/2022/9360899.

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Pervasive smartphones boost the prosperity of location-based service (LBS) and the increasing data prompt LBS providers to outsource their LBS datasets to the cloud side. The privacy issues of LBS in the outsourced cloud scenario have attracted considerable interest recently. However, current schemes cannot provide sufficient privacy preservation against practical challenges and are little concerned about the data retrieval efficiency of the cloud side. Therefore, we present an efficient Privacy-Preserving LBS Query Scheme (i.e., PPQS ). In our scheme, two cloud entities are employed to store

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Wang, Weiya, Geng Yang, Lin Bao, Ke Ma, Hao Zhou, and Yunlu Bai. "Travel Trajectory Frequent Pattern Mining Based on Differential Privacy Protection." Wireless Communications and Mobile Computing 2021 (August 5, 2021): 1–14. http://dx.doi.org/10.1155/2021/6379530.

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Now, many application services based on location data have brought a lot of convenience to people’s daily life. However, publishing location data may divulge individual sensitive information. Because the location records about location data may be discrete in the database, some existing privacy protection schemes are difficult to protect location data in data mining. In this paper, we propose a travel trajectory data record privacy protection scheme (TMDP) based on differential privacy mechanism, which employs the structure of a trajectory graph model on location database and frequent subgraph

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Paik, Ji Woong, and Joon-Ho Lee. "Noniterative Three-Dimensional Location Estimation Using Azimuth and Elevation Measurements at Multiple Locations." Journal of Sensors 2019 (August 4, 2019): 1–13. http://dx.doi.org/10.1155/2019/3743475.

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Closed-form expression of three-dimensional emitter location estimation using azimuth and elevation measurements at multiple locations is presented in this paper. The three-dimensional location estimate is obtained from three-dimensional sensor locations and the azimuth and elevation measurements at each sensor location. Since the formulation is not iterative, it is not computationally intensive and does not need initial location estimate. Numerical results are presented to show the validity of the proposed scheme.

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Wu, Qiong, Hanxu Liu, Cui Zhang, Qiang Fan, Zhengquan Li, and Kan Wang. "Trajectory Protection Schemes Based on a Gravity Mobility Model in IoT." Electronics 8, no. 2 (2019): 148. http://dx.doi.org/10.3390/electronics8020148.

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With the proliferation of the Internet-of-Things (IoT), the users’ trajectory data containing privacy information in the IoT systems are easily exposed to the adversaries in continuous location-based services (LBSs) and trajectory publication. Existing trajectory protection schemes generate dummy trajectories without considering the user mobility pattern accurately. This would cause that the adversaries can easily exclude the dummy trajectories according to the obtained geographic feature information. In this paper, the continuous location entropy and the trajectory entropy are defined based o

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Liu, He Sheng, Ai Hua Xiong, Xing Yuan Huang, and Jia Mei Lai. "3D Numerical Simulation Research on the Effect of Gate Location on Fiber Orientation and Injection-Molded Parts Deformation." Advanced Materials Research 472-475 (February 2012): 403–10. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.403.

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Based on generalized non-Newtonian fluid with seven parameters Cross-WLF viscosity model and modified 2-domain Tait model, the injection process of short glass fiber-reinforced polypropylene is simulated with a true 3D model. The effects of gate location on clamp force, fiber orientation and parts deformation are investigated. The results show that: (1) Clamp force of the 3rd scheme that gate location is set on the center of long-side is the largest and that of the 1st scheme that gate location is set on the center of top is the smallest. (2)Because of shear stress, in the direction of thickne

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Zhao, Nan Nan, and Jian Bo Yao. "Mobile-Base-Station Location Privacy Based on Greedy Random Walk in WSN." Applied Mechanics and Materials 427-429 (September 2013): 2502–7. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2502.

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As wide applications of wireless sensor networks, privacy concerns have emerged as the main obstacle to success. When wireless sensor networks are used to battlefield, the privacy about base-station-locations become a crux issue. If base-station location will be exposed to adversary, the consequence is inconceivable. Random data collection scheme has a problem that message latencies become larger higher for protecting mobile-base-station-location privacy. In this paper, GROW (Greedy Random Walk) is proposed to preserve mobile-base-station-location privacy. In GROW, data are forwarded and store

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Elise Carreker, Lauren, and William Bachman. "Geographic Information System Procedures to Improve Speed and Accuracy in Locating Crashes." Transportation Research Record: Journal of the Transportation Research Board 1719, no. 1 (2000): 215–18. http://dx.doi.org/10.3141/1719-28.

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Locating statewide crashes for system or facility analyses can be difficult and time-consuming. In many localities, crash data are manually transcribed from paper crash reports and then located, by a separate operator, on a linear reference scheme. Data quality and quantity reduce an operator’s ability to accurately identify route and milepoint locations for a large percentage of crashes. A study of crash data in Georgia has identified potential location errors. The study also revealed that numerous technical solutions such as improved data transcription guidelines, multiple public and private

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Jiang, Yuzhou, Emre Yilmaz, and Erman Ayday. "Robust Fingerprint of Privacy-Preserving Location Trajectories." Proceedings on Privacy Enhancing Technologies 2023, no. 4 (2023): 5–20. http://dx.doi.org/10.56553/popets-2023-0095.

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Location-based services have brought significant convenience to people in their daily lives, and trajectory data are also in high demand. However, directly releasing those data raises privacy and liability (e.g., due to unauthorized distribution of such datasets) concerns since location data contain users' sensitive information, e.g., regular moving patterns and favorite spots. To address this, we propose a novel fingerprinting scheme that simultaneously identifies unauthorized redistribution of location trajectory datasets and provides differential privacy guarantees for shared data. Observin

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Guo, Xueying, Wenming Wang, Haiping Huang, Qi Li, and Reza Malekian. "Location Privacy-Preserving Method Based on Historical Proximity Location." Wireless Communications and Mobile Computing 2020 (July 18, 2020): 1–16. http://dx.doi.org/10.1155/2020/8892079.

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With the rapid development of Internet services, mobile communications, and IoT applications, Location-Based Service (LBS) has become an indispensable part in our daily life in recent years. However, when users benefit from LBSs, the collection and analysis of users’ location data and trajectory information may jeopardize their privacy. To address this problem, a new privacy-preserving method based on historical proximity locations is proposed. The main idea of this approach is to substitute one existing historical adjacent location around the user for his/her current location and then submit

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