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Artykuły w czasopismach na temat „Location- Privacy control”

Autor: Grafiati

Data publikacji: 6 września 2023

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1

Yunxiang, Zhang, and Wang Bin. "Stability Control of Position Flow Fuzzy Estimation in Swarm Intelligence Aware Privacy Protection." Wireless Communications and Mobile Computing 2023 (January 30, 2023): 1–8. http://dx.doi.org/10.1155/2023/4792248.

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The group intelligence perception privacy protection model is a method to achieve the balance between user privacy and service requests through the cooperation between users using location services and has a good perception effect. In order to better protect the location privacy of network users and improve the stability control effect of fuzzy estimation of location flow, this paper designs a stability control method of fuzzy estimation of location flow in group intelligent perception privacy protection. This method uses the group intelligence aware privacy protection model to obtain the user

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2

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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Zhu, Liang, Xiaowei Liu, Zhiyong Jing, Liping Yu, Zengyu Cai, and Jianwei Zhang. "Knowledge-Driven Location Privacy Preserving Scheme for Location-Based Social Networks." Electronics 12, no. 1 (2022): 70. http://dx.doi.org/10.3390/electronics12010070.

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Location privacy-preserving methods for location-based services in mobile communication networks have received great attention. Traditional location privacy-preserving methods mostly focus on the researches of location data analysis in geographical space. However, there is a lack of studies on location privacy preservation by considering the personalized features of users. In this paper, we present a Knowledge-Driven Location Privacy Preserving (KD-LPP) scheme, in order to mine user preferences and provide customized location privacy protection for users. Firstly, the UBPG algorithm is propose

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Yang, Guangcan, Shoushan Luo, Yang Xin, et al. "A Search Efficient Privacy-Preserving Location-Sharing Scheme in Mobile Online Social Networks." Applied Sciences 10, no. 23 (2020): 8402. http://dx.doi.org/10.3390/app10238402.

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With the advent of intelligent handheld devices, location sharing becomes one of the most popular services in mobile online social networks (mOSNs). In location-sharing services, users can enjoy a better social experience by updating their real-time location information. However, the leakage of private information may hinder the further development of location-sharing services. Although many solutions have been proposed to protect users’ privacy, the privacy-utility trade-offs must be considered. Therefore, we propose a new scheme called search efficient privacy-preserving location-sharing (SE

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5

Perusco, Laura, and Katina Michael. "Control, trust, privacy, and security: evaluating location-based services." IEEE Technology and Society Magazine 26, no. 1 (2007): 4–16. http://dx.doi.org/10.1109/mtas.2007.335564.

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Luceri, Luca, Davide Andreoletti, Massimo Tornatore, Torsten Braun, and Silvia Giordano. "Measurement and control of geo-location privacy on Twitter." Online Social Networks and Media 17 (May 2020): 100078. http://dx.doi.org/10.1016/j.osnem.2020.100078.

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Chu, Xiang, Jun Liu, Daqing Gong, and Rui Wang. "Preserving Location Privacy in Spatial Crowdsourcing Under Quality Control." IEEE Access 7 (2019): 155851–59. http://dx.doi.org/10.1109/access.2019.2949409.

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8

Qi He, Dapeng Wu, and P. Khosla. "The quest for personal control over mobile location privacy." IEEE Communications Magazine 42, no. 5 (2004): 130–36. http://dx.doi.org/10.1109/mcom.2004.1299356.

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Góes, Rômulo Meira, Blake C. Rawlings, Nicholas Recker, Gregory Willett, and Stéphane Lafortune. "Demonstration of Indoor Location Privacy Enforcement using Obfuscation." IFAC-PapersOnLine 51, no. 7 (2018): 145–51. http://dx.doi.org/10.1016/j.ifacol.2018.06.293.

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Xu, Chuan, Li Luo, Yingyi Ding, Guofeng Zhao, and Shui Yu. "Personalized Location Privacy Protection for Location-Based Services in Vehicular Networks." IEEE Wireless Communications Letters 9, no. 10 (2020): 1633–37. http://dx.doi.org/10.1109/lwc.2020.2999524.

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Zheng, Lijuan, Linhao Zhang, Meng Cui, et al. "The Research of Mobile Location Privacy Protection Access Control Method Based on Game Theory." Wireless Communications and Mobile Computing 2018 (December 12, 2018): 1–9. http://dx.doi.org/10.1155/2018/1847890.

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In recent years, the Internet of things has developed rapidly. And the location-based service (LBS) is becoming more and more extensive. Service providers hold a large number of users’ information. In order to improve the quality of service, service providers increasingly use big data technology to provide more accurate services for users. At the same time, it aggravates the information disclosure of users’ privacy. From the perspective of the service provider, a mobile location privacy access control method based on game theory is proposed to solve the access control problem of mobile locatio

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12

Xie, Junqing, and Shuai Wang. "A unified location sharing service with end user privacy control." Bell Labs Technical Journal 16, no. 2 (2011): 5–20. http://dx.doi.org/10.1002/bltj.20499.

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13

Tomasin, Stefano, Marco Centenaro, Gonzalo Seco-Granados, Stefan Roth, and Aydin Sezgin. "Location-Privacy Leakage and Integrated Solutions for 5G Cellular Networks and Beyond." Sensors 21, no. 15 (2021): 5176. http://dx.doi.org/10.3390/s21155176.

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The 5g of cellular networks improves the precision of user localization and provides the means to disclose location information to ott service providers. The nwdaf can further elaborate this information at an aggregated level using artificial intelligence techniques. These powerful features may lead to the improper use of user location information by mno and ott service providers. Moreover, vulnerabilities at various layers may also leak user location information to eavesdroppers. Hence, the privacy of users is likely at risk, as location is part of their sensitive data. In this paper, we firs

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14

Li, Yuancheng, Pan Zhang, and Yimeng Wang. "The Location Privacy Protection of Electric Vehicles with Differential Privacy in V2G Networks." Energies 11, no. 10 (2018): 2625. http://dx.doi.org/10.3390/en11102625.

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Vehicle-to-grid (V2G) is an important component of smart grids and plays a significant role in improving grid stability, reducing energy consumption and generating cost. However, while electric vehicles are being charged, it is possible to expose the location and movement trajectories of the electric vehicles, thereby triggering a series of privacy and security issues. In response to this problem, we propose a new quadtree-based spatial decomposition algorithm to protect the location privacy of electric vehicles. First of all, we use a random sampling algorithm, which is based on differential

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15

Schade, Michael, Rico Piehler, Claudius Warwitz, and Christoph Burmann. "Increasing consumers’ intention to use location-based advertising." Journal of Product & Brand Management 27, no. 6 (2018): 661–69. http://dx.doi.org/10.1108/jpbm-06-2017-1498.

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Purpose This study aims to investigate the influence of advertising value and privacy concerns on consumers’ intention to use location-based advertising. It also explores if brand trust toward location-based advertising providers and consumers’ privacy self-efficacy reduce privacy concerns. Design/methodology/approach Based on the privacy calculus and expectancy theory, a conceptual model is developed and empirically tested through structural equation modeling using cross-sectional data of 1,121 actual smartphone users from Germany. Findings Advertising value positively and privacy concerns ne

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16

Kim, Jongwook, and Byungjin Lim. "Effective and Privacy-Preserving Estimation of the Density Distribution of LBS Users under Geo-Indistinguishability." Electronics 12, no. 4 (2023): 917. http://dx.doi.org/10.3390/electronics12040917.

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With the widespread use of mobile devices, location-based services (LBSs), which provide useful services adjusted to users’ locations, have become indispensable to our daily lives. However, along with several benefits, LBSs also create problems for users because to use LBSs, users are required to disclose their sensitive location information to the service providers. Hence, several studies have focused on protecting the location privacy of individual users when using LBSs. Geo-indistinguishability (Geo-I), which is based on the well-known differential privacy, has recently emerged as a de-fact

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17

Xing, Ling, Dexin Zhang, Honghai Wu, Huahong Ma, and Xiaohui Zhang. "Distributed K-Anonymous Location Privacy Protection Algorithm Based on Interest Points and User Social Behavior." Electronics 12, no. 11 (2023): 2446. http://dx.doi.org/10.3390/electronics12112446.

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Location-based services have become an important part of our daily lives, and while users enjoy convenient Internet services, they also face the risk of privacy leakage. K-anonymity is a widely used method to protect location privacy, but most existing K-anonymity location privacy protection schemes use virtual locations to construct anonymity zones, which have the problem of being vulnerable to attackers through background knowledge, while the improved collaborative K-anonymity scheme does not sufficiently consider whether collaborating users share similar attributes. We propose a distributed

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18

Xia, Xiu-Feng, Miao Jiang, Xiang-Yu Liu, and Chuan-Yu Zong. "Location-Visiting Characteristics Based Privacy Protection of Sensitive Relationships." Electronics 11, no. 8 (2022): 1214. http://dx.doi.org/10.3390/electronics11081214.

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In the era of Internet of Things (IoT), the problem of the privacy leakage of sensitive relationships is critical. This problem is caused by the spatial–temporal correlation between users in location-based social networks (LBSNs). To solve this problem, a sensitive relationship-protection algorithm based on location-visiting characteristics is proposed in this paper. Firstly, a new model based on location-visiting characteristics is proposed for calculating the similarity between users, which evaluates check-in features of users and locations. In order to avoid an adversary inferring sensitive

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19

Xu, Heng. "Locus of Control and Location Privacy: An Empirical Study in Singapore." Journal of Global Information Technology Management 13, no. 3 (2010): 63–87. http://dx.doi.org/10.1080/1097198x.2010.10856520.

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20

Baseri, Yaser, Abdelhakim Hafid, and Soumaya Cherkaoui. "Privacy preserving fine-grained location-based access control for mobile cloud." Computers & Security 73 (March 2018): 249–65. http://dx.doi.org/10.1016/j.cose.2017.10.014.

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Magkos, Emmanouil. "Cryptographic Approaches for Privacy Preservation in Location-Based Services." International Journal of Information Technologies and Systems Approach 4, no. 2 (2011): 48–69. http://dx.doi.org/10.4018/jitsa.2011070104.

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Current research in location-based services (LBSs) highlights the importance of cryptographic primitives in privacy preservation for LBSs, and presents solutions that attempt to support the (apparently) mutually exclusive requirements for access control and context privacy (i.e., identity and/or location), while at the same time adopting more conservative assumptions in order to reduce or completely remove the need for trust on system entities (e.g., the LBS provider, the network operator, or other peer nodes). This paper surveys the current state of knowledge concerning the use of cryptograph

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22

Tošić, Aleksandar, Niki Hrovatin, and Jernej Vičič. "A WSN Framework for Privacy Aware Indoor Location." Applied Sciences 12, no. 6 (2022): 3204. http://dx.doi.org/10.3390/app12063204.

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In the past two decades, technological advancements in smart devices, IoT, and smart sensors have paved the way towards numerous implementations of indoor location systems. Indoor location has many important applications in numerous fields, including structural engineering, behavioral studies, health monitoring, etc. However, with the recent COVID-19 pandemic, indoor location systems have gained considerable attention for detecting violations in physical distancing requirements and monitoring restrictions on occupant capacity. However, existing systems that rely on wearable devices, cameras, o

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23

Zhang, Xueqin, Qianru Zhou, Chunhua Gu, and Liangxiu Han. "The Location Privacy Preserving of Social Network Based on RCCAM Access Control." IETE Technical Review 35, sup1 (2018): 68–75. http://dx.doi.org/10.1080/02564602.2018.1507767.

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Kim, Junghwan, and Mei-Po Kwan. "An Examination of People’s Privacy Concerns, Perceptions of Social Benefits, and Acceptance of COVID-19 Mitigation Measures That Harness Location Information: A Comparative Study of the U.S. and South Korea." ISPRS International Journal of Geo-Information 10, no. 1 (2021): 25. http://dx.doi.org/10.3390/ijgi10010025.

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This paper examines people’s privacy concerns, perceptions of social benefits, and acceptance of various COVID-19 control measures that harness location information using data collected through an online survey in the U.S. and South Korea. The results indicate that people have higher privacy concerns for methods that use more sensitive and private information. The results also reveal that people’s perceptions of social benefits are low when their privacy concerns are high, indicating a trade-off relationship between privacy concerns and perceived social benefits. Moreover, the acceptance by So

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25

Li, Yuxi, Fucai Zhou, Yue Ge, and Zifeng Xu. "Privacy-Enhancing k-Nearest Neighbors Search over Mobile Social Networks." Sensors 21, no. 12 (2021): 3994. http://dx.doi.org/10.3390/s21123994.

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Focusing on the diversified demands of location privacy in mobile social networks (MSNs), we propose a privacy-enhancing k-nearest neighbors search scheme over MSNs. First, we construct a dual-server architecture that incorporates location privacy and fine-grained access control. Under the above architecture, we design a lightweight location encryption algorithm to achieve a minimal cost to the user. We also propose a location re-encryption protocol and an encrypted location search protocol based on secure multi-party computation and homomorphic encryption mechanism, which achieve accurate and

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26

Thompson, London, and Csilla Farkas. "PRIVACY AND SECURITY FOR TELEHEALTH DEVICES." Innovation in Aging 3, Supplement_1 (2019): S836. http://dx.doi.org/10.1093/geroni/igz038.3081.

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Abstract In this research, we study the privacy and security capabilities provided by telehealth devices. Our aim is to evaluate how vulnerable these popular devices are in the presence of malicious cyber attackers. As older adults increasingly rely on telehealth devices, it is crucial that cybersecurity aspects of these devices are clearly communicated to them. Moreover, older adults frequently lack the technical expertise to evaluate the security and privacy capabilities of the devices. The lack of control over telehealth devices is a major concern for older adults. Older adults view certain

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27

Khan, Shawal, Ishita Sharma, Mazzamal Aslam, Muhammad Zahid Khan, and Shahzad Khan. "Security Challenges of Location Privacy in VANETs and State-of-the-Art Solutions: A Survey." Future Internet 13, no. 4 (2021): 96. http://dx.doi.org/10.3390/fi13040096.

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A Vehicular Ad-hoc Network (VANET) comprises a group of moving or stationary vehicles connected by a wireless network. VANETs play a vital role in providing safety and comfort to drivers in vehicular environments. They provide smart traffic control and real-time information, event allocation. VANETs have received attention in support of safe driving, intelligent navigation, emergency and entertainment applications in vehicles. Nevertheless, these increasingly linked vehicles pose a range of new safety and security risks to both the host and its associated properties and may even have fatal con

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28

Song, Fuyuan, Yiwei Liu, Siyao Ma, Qin Jiang, Xiang Zhang, and Zhangjie Fu. "Enabling Efficient and Privacy-Preserving Task Allocation with Temporal Access Control for Mobile Crowdsensing." Electronics 12, no. 14 (2023): 3016. http://dx.doi.org/10.3390/electronics12143016.

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The increasing proliferation of GPS-enabled mobile devices, including Unmanned Aerial Vehicles (UAVs), smartphones, and laptops, has resulted in a significant upsurge in the outsourcing of spatial data to cloud servers for storage and computation purposes, such as task allocation and location-based services. However, the reliance on untrusted cloud servers introduces the risk of privacy breaches, as these servers possess the ability to deduce and access users’ private information based on task content and query requirements. Existing privacy-preserving task-allocation schemes offer only coarse

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Cui, Longyin, and Xiwei Wang. "A Cascade Framework for Privacy-Preserving Point-of-Interest Recommender System." Electronics 11, no. 7 (2022): 1153. http://dx.doi.org/10.3390/electronics11071153.

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Point-of-interest (POI) recommender systems (RSes) have gained significant popularity in recent years due to the prosperity of location-based social networks (LBSN). However, in the interest of personalization services, various sensitive contextual information is collected, causing potential privacy concerns. This paper proposes a cascaded privacy-preserving POI recommendation (CRS) framework that protects contextual information such as user comments and locations. We demonstrate a minimized trade-off between the privacy-preserving feature and prediction accuracy by applying a semi-decentraliz

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Zeng, Mengjia, Zhaolin Cheng, Xu Huang, and Bo Zheng. "Spatial Crowdsourcing Quality Control Model Based on K-Anonymity Location Privacy Protection and ELM Spammer Detection." Mobile Information Systems 2019 (February 4, 2019): 1–10. http://dx.doi.org/10.1155/2019/2723686.

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The spatial crowdsourcing task places workers at a risk of privacy leakage. If positional information is not required to submit, it will result in an increased error rate and number of spammers, which together affects the quality of spatial crowdsourcing. In this paper, a spatial crowdsourcing quality control model is proposed, called SCQCM. In the model, the spatial k-anonymity algorithm is used to protect the position privacy of the general spatial crowdsourcing workers. Next, an ELM (extreme learning machine) algorithm is used to detect spammers, while an EM (expectation maximization) algor

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31

Arana, O., F. Garcia, and J. Gomez. "Analysis of the effectiveness of transmission power control as a location privacy technique." Computer Networks 163 (November 2019): 106880. http://dx.doi.org/10.1016/j.comnet.2019.106880.

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Li, Zhidan, Wenmin Li, QiaoYan Wen, Jiageng Chen, Wei Yin, and Kaitai Liang. "An efficient blind filter: Location privacy protection and the access control in FinTech." Future Generation Computer Systems 100 (November 2019): 797–810. http://dx.doi.org/10.1016/j.future.2019.04.026.

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Lohan, Elena Simona, Viktoriia Shubina, and Dragoș Niculescu. "Perturbed-Location Mechanism for Increased User-Location Privacy in Proximity Detection and Digital Contact-Tracing Applications." Sensors 22, no. 2 (2022): 687. http://dx.doi.org/10.3390/s22020687.

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Future social networks will rely heavily on sensing data collected from users’ mobile and wearable devices. A crucial component of such sensing will be the full or partial access to user’s location data, in order to enable various location-based and proximity-detection-based services. A timely example of such applications is the digital contact tracing in the context of infectious-disease control and management. Other proximity-detection-based applications include social networking, finding nearby friends, optimized shopping, or finding fast a point-of-interest in a commuting hall. Location in

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34

Zidani, Ferroudja, Fouzi Semchedine, and Marwane Ayaida. "Estimation of Neighbors Position privacy scheme with an Adaptive Beaconing approach for location privacy in VANETs." Computers & Electrical Engineering 71 (October 2018): 359–71. http://dx.doi.org/10.1016/j.compeleceng.2018.07.040.

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35

Balaji, T. S., Robert H. Miller, Clyde C. Heppner, and R. Brian Landers. "Privacy Rules: Method and System for Conveying Location-Granularity Preferences with Location-Based Service Requests." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 4 (2005): 633–36. http://dx.doi.org/10.1177/154193120504900407.

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The results of an online survey support a growing body of evidence that user discomfort increases in proportion to the accuracy with which wireless communication networks determine the physical location of a wireless device. We describe a method for conveying and applying user preferences for location granularity (inaccuracy) with such location-based services. Using this method, a user may limit the location granularity either globally, for particular services, or for particular individuals who might wish to locate the user. Upon detecting a request to use a location service, a wireless device

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36

Kim, JeongYeon. "Protecting Metadata of Access Indicator and Region of Interests for Image Files." Security and Communication Networks 2020 (January 22, 2020): 1–10. http://dx.doi.org/10.1155/2020/4836109.

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With popularity of social network services, the security and privacy issues over shared contents receive many attentions. Besides, multimedia files have additional concerns of copyright violation or illegal usage to share over communication networks. For image file management, JPEG group develops new image file format to enhance security and privacy features. Adopting a box structure with different application markers, new standards for privacy and security provide a concept of replacement substituting a private part of the original image or metadata with an alternative public data. In this pa

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Wang, Na, Junsong Fu, Jiwen Zeng, and Bharat K. Bhargava. "Source-location privacy full protection in wireless sensor networks." Information Sciences 444 (May 2018): 105–21. http://dx.doi.org/10.1016/j.ins.2018.02.064.

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Narain, Sashank, and Guevara Noubir. "Mitigating Location Privacy Attacks on Mobile Devices using Dynamic App Sandboxing." Proceedings on Privacy Enhancing Technologies 2019, no. 2 (2019): 66–87. http://dx.doi.org/10.2478/popets-2019-0020.

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Abstract We present the design, implementation and evaluation of a system, called MATRIX, developed to protect the privacy of mobile device users from location inference and sensor side-channel attacks. MATRIX gives users control and visibility over location and sensor (e.g., Accelerometers and Gyroscopes) accesses by mobile apps. It implements a PrivoScope service that audits all location and sensor accesses by apps on the device and generates real-time notifications and graphs for visualizing these accesses; and a Synthetic Location service to enable users to provide obfuscated or synthetic

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Yan, Liang, Hao Wang, Zhaokun Wang, Tingting Wu, Wandi Fu, and Xu Zhang. "Differentially Private Timestamps Publishing in Trajectory." Electronics 12, no. 2 (2023): 361. http://dx.doi.org/10.3390/electronics12020361.

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In recent years, location-based social media has become popular, and a large number of spatiotemporal trajectory data have been generated. Although these data have significant mining value, they also pose a great threat to the privacy of users. At present, many studies have realized the privacy-preserving mechanism of location data in social media in terms of data utility and privacy preservation, but rarely have any of them considered the correlation between timestamps and geographical location. To solve this problem, in this paper, we first propose a k-anonymity-based mechanism to hide the u

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Yang, Jianxi, Manoranjan Dash, and Sin G. Teo. "PPTPF: Privacy-Preserving Trajectory Publication Framework for CDR Mobile Trajectories." ISPRS International Journal of Geo-Information 10, no. 4 (2021): 224. http://dx.doi.org/10.3390/ijgi10040224.

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As mobile phone technology evolves quickly, people could use mobile phones to conduct business, watch entertainment shows, order food, and many more. These location-based services (LBS) require users’ mobility data (trajectories) in order to provide many useful services. Latent patterns and behavior that are hidden in trajectory data should be extracted and analyzed to improve location-based services including routing, recommendation, urban planning, traffic control, etc. While LBSs offer relevant information to mobile users based on their locations, revealing such areas can pose user privacy

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Zou, Shihong, Jinwen Xi, Honggang Wang, and Guoai Xu. "CrowdBLPS: A Blockchain-Based Location-Privacy-Preserving Mobile Crowdsensing System." IEEE Transactions on Industrial Informatics 16, no. 6 (2020): 4206–18. http://dx.doi.org/10.1109/tii.2019.2957791.

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Boudjit, Saadi, Benamar Kadri, and Leila Benarous. "Camouflage-based location privacy preserving scheme in vehicular ad hoc networks." International Journal of Vehicle Information and Communication Systems 8, no. 3 (2023): 217–36. http://dx.doi.org/10.1504/ijvics.2023.10058397.

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Benarous, Leila, Benamar Kadri, and Saadi Boudjit. "Camouflage-based location privacy preserving scheme in vehicular ad hoc networks." International Journal of Vehicle Information and Communication Systems 8, no. 3 (2023): 217–36. http://dx.doi.org/10.1504/ijvics.2023.132926.

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Zeng, Wen, Reem Bashir, Trevor Wood, Francois Siewe, Helge Janicke, and Isabel Wagner. "How Location-Aware Access Control Affects User Privacy and Security in Cloud Computing Systems." EAI Endorsed Transactions on Cloud Systems 6, no. 18 (2020): 165236. http://dx.doi.org/10.4108/eai.13-7-2018.165236.

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Huang, Jianwei, Mei-Po Kwan, and Junghwan Kim. "How Culture and Sociopolitical Tensions Might Influence People’s Acceptance of COVID-19 Control Measures That Use Individual-Level Georeferenced Data." ISPRS International Journal of Geo-Information 10, no. 7 (2021): 490. http://dx.doi.org/10.3390/ijgi10070490.

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This study extends an earlier study in the United States and South Korea on people’s privacy concerns for and acceptance of COVID-19 control measures that use individual-level georeferenced data (IGD). Using a new dataset collected via an online survey in Hong Kong, we first examine the influence of culture and recent sociopolitical tensions on people’s privacy concerns for and acceptance of three types of COVID-19 control measures that use IGD: contact tracing, self-quarantine monitoring, and location disclosure. We then compare Hong Kong people’s views with the views of people in the United

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He, Peicong, Yang Xin, Bochuan Hou, and Yixian Yang. "PKGS: A Privacy-Preserving Hitchhiking Task Assignment Scheme for Spatial Crowdsourcing." Electronics 12, no. 15 (2023): 3318. http://dx.doi.org/10.3390/electronics12153318.

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Privacy-preserving task assignment is vital to assign a task to appropriate workers and protect workers’ privacy or task privacy for spatial crowdsourcing (SC). Existing solutions usually require each worker to travel to the task location on purpose to perform this task, which fails to consider that workers have specific trajectories and carry out the task on their way in a hitchhiking manner. To this end, this paper proposes a privacy-preserving hitchhiking task assignment scheme for SC, named PKGS. Specifically, we formulate the privacy-preserving hitchhiking task assignment as a decision pr

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Takbiri, Nazanin, Virat Shejwalkar, Amir Houmansadr, Dennis L. Goeckel, and Hossein Pishro-Nik. "Leveraging Prior Knowledge Asymmetries in the Design of Location Privacy-Preserving Mechanisms." IEEE Wireless Communications Letters 9, no. 11 (2020): 2005–9. http://dx.doi.org/10.1109/lwc.2020.3011361.

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Li, Weihao, Chen Li, and Yeli Geng. "APS: Attribute-aware privacy-preserving scheme in location-based services." Information Sciences 527 (July 2020): 460–76. http://dx.doi.org/10.1016/j.ins.2019.02.025.

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Didouh, Ahmed, Yassin El Hillali, Atika Rivenq, and Houda Labiod. "Novel Centralized Pseudonym Changing Scheme for Location Privacy in V2X Communication." Energies 15, no. 3 (2022): 692. http://dx.doi.org/10.3390/en15030692.

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Vehicular ad hoc networks allow vehicles to share their information for the safety and efficiency of traffic purposes. However, information sharing can threaten the driver’s privacy as it includes spatiotemporal information, and the messages are unencrypted and broadcasted periodically. Therefore, they cannot estimate their privacy level because it also depends on their surroundings. This article proposes a centralized adaptive pseudonym change scheme that permits the certificate’s authority to adjust the pseudonyms assignment for each requesting vehicle. This scheme adapts dynamically dependi

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Wang, Gui Chao, Ai Li Zhang, and Yong Zhen Li. "Secure Authentication Protocol of RFID System Based on Access Control." Advanced Engineering Forum 6-7 (September 2012): 1072–77. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.1072.

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The security and privacy problem of low-cost RFID system is one of the most difficult conundrums in the RFID research field. A protocol based on access control was proposed in this paper, which used the reader access, partial ID, XOR operation, etc. By using of the reader authority distribution method, the unauthorized tag`s information was prevented give-away and it can avoid the lawful reader attack, location privacy attack, etc. Function of the reader was fully used. At the same time, the back-end database`s load and the time of the tag`s answer were reduced. Compared with several tradition

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