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Journal articles on the topic 'Private attribute'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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1

Lai, Jianchang, Yi Mu, Fuchun Guo, Peng Jiang, and Willy Susilo. "Privacy-enhanced attribute-based private information retrieval." Information Sciences 454-455 (July 2018): 275–91. http://dx.doi.org/10.1016/j.ins.2018.04.084.

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Zhang, Hao, Yue Zhao, Jintao Meng, Xue Wang, and Kaijun Wu. "Attribute-Based Encryption Scheme with k-Out-of-n Oblivious Transfer." Electronics 12, no. 21 (2023): 4502. http://dx.doi.org/10.3390/electronics12214502.

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Attribute-based encryption enables users to flexibly exchange and share files with others. In these schemes, users utilize their own attributes to acquire public-private key pairs from the key generation center. However, achieving this for users who wish to keep their attributes private poses a challenge. To address this contradiction, we propose an original scheme that combines ciphertext policy attribute-based encryption with a k-out-of-n oblivious transfer protocol. This scheme allows the distribution of corresponding public-private key pairs to users without the key generation center needi

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Battaglia, Elena, Simone Celano, and Ruggero G. Pensa. "Differentially Private Distance Learning in Categorical Data." Data Mining and Knowledge Discovery 35, no. 5 (2021): 2050–88. http://dx.doi.org/10.1007/s10618-021-00778-0.

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AbstractMost privacy-preserving machine learning methods are designed around continuous or numeric data, but categorical attributes are common in many application scenarios, including clinical and health records, census and survey data. Distance-based methods, in particular, have limited applicability to categorical data, since they do not capture the complexity of the relationships among different values of a categorical attribute. Although distance learning algorithms exist for categorical data, they may disclose private information about individual records if applied to a secret dataset. To

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Lee, Dongju, and Hyunsung Kim. "Blockchain Enforced Attribute based Access Control with ZKP for Healthcare Service." International journal of Computer Networks & Communications 16, no. 3 (2024): 117–37. http://dx.doi.org/10.5121/ijcnc.2024.16308.

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The relationship between doctors and patients is reinforced through the expanded communication channels provided by remote healthcare services, resulting in heightened patient satisfaction and loyalty. Nonetheless, the growth of these services is hampered by security and privacy challenges they confront. Additionally, patient electronic health records (EHR) information is dispersed across multiple hospitals in different formats, undermining data sovereignty. It allows any service to assert authority over their EHR, effectively controlling its usage. This paper proposes a blockchain enforced at

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Zhang, Guo Yan. "A Multi-Authority Attribute-Based Encryption System Against Malicious KGC." Advanced Engineering Forum 6-7 (September 2012): 38–44. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.38.

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Attribute-based encryption scheme is a scheme in which each user is identified by a set of attributes, and some function of those attributes is used to determine decryption ability for each ciphertext. Similar with identity-based encryption scheme, attribute-based schemes are also confronted with key escrow problem. Furthermore, the attributes belonging to a user usually are monitored by different authorities. This paper resolves the two problems by using a general attribute-based encryption scheme and K-Sibling intractable function families. In our construction, different attributes sets of a

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Rezaeifar, Shideh, Slava Voloshynovskiy, Meisam Asgari Asgari Jirhandeh, and Vitality Kinakh. "Privacy-Preserving Image Template Sharing Using Contrastive Learning." Entropy 24, no. 5 (2022): 643. http://dx.doi.org/10.3390/e24050643.

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With the recent developments of Machine Learning as a Service (MLaaS), various privacy concerns have been raised. Having access to the user’s data, an adversary can design attacks with different objectives, namely, reconstruction or attribute inference attacks. In this paper, we propose two different training frameworks for an image classification task while preserving user data privacy against the two aforementioned attacks. In both frameworks, an encoder is trained with contrastive loss, providing a superior utility-privacy trade-off. In the reconstruction attack scenario, a supervised contr

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Zhang, Runnan, Gang Liu, Shancang Li, Yongheng Wei, and Quan Wang. "ABSAC: Attribute-Based Access Control Model Supporting Anonymous Access for Smart Cities." Security and Communication Networks 2021 (March 20, 2021): 1–11. http://dx.doi.org/10.1155/2021/5531369.

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Smart cities require new access control models for Internet of Things (IoT) devices that preserve user privacy while guaranteeing scalability and efficiency. Researchers believe that anonymous access can protect the private information even if the private information is not stored in authorization organization. Many attribute-based access control (ABAC) models that support anonymous access expose the attributes of the subject to the authorization organization during the authorization process, which allows the authorization organization to obtain the attributes of the subject and infer the iden

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Pin, Lim Wei, and Manmeet Mahinderjit Singh. "User authentication using gait and enhanced attribute-based encryption: a case of smart home." Bulletin of Electrical Engineering and Informatics 13, no. 3 (2024): 1839–46. http://dx.doi.org/10.11591/eei.v13i3.5347.

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With the increasing popularity of the internet of things (IoT) application such as smart home, more data is being collected, and subsequently, concerns about preserving the privacy and confidentiality of these data are growing. When intruders attack and get control of smart home devices, privacy is compromised. Attribute-based encryption (ABE) is a new technique proposed to solve the data privacy issue in smart homes. However, ABE involves high computational cost, and the length of its ciphertext/private key increases linearly with the number of attributes, thus limiting the usage of ABE. This

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Goel, Shivani, and Mridul Kumar Gupta. "AB-DVS: Attribute-Based Designated Verifier Signature." International Journal of Science and Social Science Research 2, no. 4 (2025): 146–57. https://doi.org/10.5281/zenodo.14970083.

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In the realm of secure communications and cryptographic protocols, Attribute-Based Designated Verifier Signatures (AB-DVS) offer a sophisticated mechanism to enhance privacy and control over digital signatures. This paper presents a novel AB-DVS scheme that combines the principles of attribute-based cryptography with designated verifier signatures to achieve robust security guarantees and privacy protection. In our scheme, a signer generates a signature on a message using a master secret key and a set of attributes, while the designated verifier is equipped with specific attribute keys that en

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Mosteiro-Sanchez, Aintzane, Marc Barcelo, Jasone Astorga, and Aitor Urbieta. "Trustworthy Users: Using IOTA and IPFS for Attribute Validation in CP-ABE and dCP-ABE Schemes." Smart Cities 6, no. 2 (2023): 913–28. http://dx.doi.org/10.3390/smartcities6020044.

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Attribute spoofing is a major security threat in information exchange solutions based on Ciphertext-Policy Attribute-Based-Encryption (CP-ABE) and distributed CP-ABE (dCP-ABE), which can compromise privacy and security. This threat occurs when an attacker forces the Attribute Authorities to generate keys for attributes they do not possess. This paper analyzes the threat of attribute spoofing and identifies the primary attack vectors, including direct interference with the Attribute Authority and compromise of the shared attribute storage database. The authors propose a solution based on IOTA,

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Han, Fei, and Jing Qin. "A Function Private Attribute-Based Encryption." International Journal of Distributed Sensor Networks 10, no. 1 (2014): 749568. http://dx.doi.org/10.1155/2014/749568.

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Arroyo Arevalo, Caridad, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, and Binghui Wang. "Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 10 (2024): 10909–17. http://dx.doi.org/10.1609/aaai.v38i10.28965.

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Federated learning (FL) has been widely studied recently due to its property to collaboratively train data from different devices without sharing the raw data. Nevertheless, recent studies show that an adversary can still be possible to infer private information about devices' data, e.g., sensitive attributes such as income, race, and sexual orientation. To mitigate the attribute inference attacks, various existing privacy-preserving FL methods can be adopted/adapted. However, all these existing methods have key limitations: they need to know the FL task in advance, or have intolerable computa

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Setiawan, Raka Adji, Fauziah Fauziah, and Ratih Titi Komala Sari. "Aplikasi Perbandingan Pemilihan Guru Private Homeschooling menggunakan Algoritma Simple Additive Weighting (SAW) dan Weight Product Berbasis Web." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 4, no. 2 (2021): 14. http://dx.doi.org/10.35870/jtik.v5i1.195.

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This study aims to compare the selection of private homeschool teachers using the Simple Additive Weighting (SAW) and Weight Product (WP) algorithms, the criteria that have been taken by the author to calculate their weight in selecting private teachers who excel and provide convenience with an assessment based on criteria. In this effort, the authors can build a private teacher selection system with the Simple Additive Weighting (SAW) algorithm to find the total weights of the teacher performance rating for each alternative on all attributes and compare it to the Weight Product (WP) algorithm

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Zhang, Binghui, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, and Binghui Wang. "Learning Robust and Privacy-Preserving Representations via Information Theory." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 21 (2025): 22363–71. https://doi.org/10.1609/aaai.v39i21.34392.

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Machine learning models are vulnerable to both security attacks (e.g., adversarial examples) and privacy attacks (e.g., private attribute inference). We take the first step to mitigate both the security and privacy attacks, and maintain task utility as well. Particularly, we propose an information-theoretic framework to achieve the goals through the lens of representation learning, i.e., learning representations that are robust to both adversarial examples and attribute inference adversaries. We also derive novel theoretical results under our framework, e.g., the inherent trade-off between adv

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Yang, Kunwei, Bo Yang, Yanwei Zhou, Tao Wang, and Linming Gong. "Privacy Protection of Task in Crowdsourcing: Policy-Hiding and Attribute Updating Attribute-Based Access Control Based on Blockchain." Wireless Communications and Mobile Computing 2022 (March 24, 2022): 1–12. http://dx.doi.org/10.1155/2022/7787866.

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Crowdsourcing is a new way to solve complex problems by using human intelligence. However, the tasks and user information privacy concerned in crowdsourcing have not been adequately addressed. It is necessary to design a privacy protection mechanism for tasks that need to be restricted to specific user groups. Ciphertext-policy attribute-based encryption (CP-ABE) is an efficient and feasible cryptographic tool, particularly for crowdsourcing systems. The encryptor can choose the access policy independently, which limits the scope of decryption users. At present, most CP-ABE schemes adopt a cen

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Nandini, Ryke, Ambar Kusumandari, Totok Gunawan, and Ronggo Sadono. "Multidimensional Scaling Approach to Evaluate the Level of Community Forestry Sustainability in Babak Watershed, Lombok Island, West Nusa Tenggara." Forum Geografi 31, no. 1 (2017): 28–42. http://dx.doi.org/10.23917/forgeo.v31i1.3371.

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Community forestry in Babak watershed is one of the efforts to reduce critical land area. The aim of this research was to evaluate the level of community forestry sustainability in both of community forest (HKm) and private forest in Babak watershed. Multidimensional scaling (MDS) was used to analyse the level of community forest sustainability based on the five dimensions of ecology, economy, social, institutional, and technology as well as 29 attributes. Leverage analysis was used to know the sensitive attributes of sustainability, while Monte Carlo analysis and goodness of fit was used to f

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Al Karomi, M. Adib, Much Rifqi Maulana, Slamet Joko Prasetiono, Ivandari Ivandari, and Arochman Arochman. "Strengthening campus finance by analyzing attribute attributes for student registration classifications." JAICT 4, no. 2 (2020): 1. http://dx.doi.org/10.32497/jaict.v4i2.1431.

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<p class="AbstractL-MAG">Students are the most valuable assets in a private college. Assets like this that really need to be maintained and maintained, because most of the income from the private campus is derived from the tuition fees of students. The large number of students who resigned and did not conduct registration would have an impact on the financial institutions. STMIK Widya Pratama is the only computer science campus in Pekalongan City. Data from the last 5 years obtained from the new student admissions committee at STMIK Widya Pratama Pekalongan shows that out of 2670 prospec

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Choi, Daeseon, Younho Lee, Seokhyun Kim, and Pilsung Kang. "Private attribute inference from Facebook’s public text metadata: a case study of Korean users." Industrial Management & Data Systems 117, no. 8 (2017): 1687–706. http://dx.doi.org/10.1108/imds-07-2016-0276.

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Purpose As the number of users on social network services (SNSs) continues to increase at a remarkable rate, privacy and security issues are consistently arising. Although users may not want to disclose their private attributes, these can be inferred from their public behavior on social media. In order to investigate the severity of the leakage of private information in this manner, the purpose of this paper is to present a method to infer undisclosed personal attributes of users based only on the data available on their public profiles on Facebook. Design/methodology/approach Facebook profile

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Kumar, G. Sravan, and A. Sri Krishna. "Data Security for Cloud Datasets With Bloom Filters on Ciphertext Policy Attribute Based Encryption." International Journal of Information Security and Privacy 13, no. 4 (2019): 12–27. http://dx.doi.org/10.4018/ijisp.2019100102.

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Cloud data storage environments allow the data providers to store and share large amounts of datasets generated from various resources. However, outsourcing private data to a cloud server is insecure without an efficient access control strategy. Thus, it is important to protect the data and privacy of user with a fine-grained access control policy. In this article, a Bloom Filter-based Ciphertext-Policy Attribute-Based Encryption (BF-CP-ABE) technique is presented to provide data security to cloud datasets with a Linear Secret Sharing Structure (LSSS) access policy. This fine-grained access co

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Oyekan, Basirat. "DEVELOPING PRIVACY-PRESERVING FEDERATED LEARNING MODELS FOR COLLABORATIVE HEALTH DATA ANALYSIS ACROSS MULTIPLE INSTITUTIONS WITHOUT COMPROMISING DATA SECURITY." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 3, no. 3 (2024): 139–64. http://dx.doi.org/10.60087/jklst.vol3.n3.p139-164.

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Federated learning is an emerging distributed machine learning technique that enables collaborative training of models among devices and servers without exchanging private data. However, several privacy and security risks associated with federated learning need to be addressed for safe adoption. This review provides a comprehensive analysis of the key threats in federated learning and the mitigation strategies used to overcome these threats. Some of the major threats identified include model inversion, membership inference, data attribute inference and model extraction attacks. Model inversion

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Chen, Chuanming, Wenshi Lin, Shuanggui Zhang, Zitong Ye, Qingying Yu, and Yonglong Luo. "Personalized trajectory privacy-preserving method based on sensitive attribute generalization and location perturbation." Intelligent Data Analysis 25, no. 5 (2021): 1247–71. http://dx.doi.org/10.3233/ida-205306.

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Trajectory data may include the user’s occupation, medical records, and other similar information. However, attackers can use specific background knowledge to analyze published trajectory data and access a user’s private information. Different users have different requirements regarding the anonymity of sensitive information. To satisfy personalized privacy protection requirements and minimize data loss, we propose a novel trajectory privacy preservation method based on sensitive attribute generalization and trajectory perturbation. The proposed method can prevent an attacker who has a large a

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Aryanto, Rudy, Trisnasari, Haryadi Sarjono, and Idris Gautama So. "Customer Interface Preferences to Ecotourism Destination Website." Advanced Materials Research 905 (April 2014): 706–10. http://dx.doi.org/10.4028/www.scientific.net/amr.905.706.

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This study purpose was to investigate the customer interface combination preferences of tourist toward ecotourism destination website of Mt. Gede Pangrango National Park. Primary data resources obtained through the spread a questionnaire to youth tourists who several times visit this tourism destination and often observe its website. Data analysis techniques used is conjoint analysis. The results of this study show the customer interface attributes combination of preference base on 7 C framework are 1) Context of navigation, primary color, speed and layout. 2) Content attributes i.e. informati

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Wang, Na, Xiaochang Wang, Aodi Liu, et al. "An image partition security-sharing mechanism based on blockchain and chaotic encryption." PLOS ONE 19, no. 7 (2024): e0307686. http://dx.doi.org/10.1371/journal.pone.0307686.

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To ensure optimal use of images while preserving privacy, it is necessary to partition the shared image into public and private areas, with public areas being openly accessible and private areas being shared in a controlled and privacy-preserving manner. Current works only facilitate image-level sharing and use common cryptographic algorithms. To ensure efficient, controlled, and privacy-preserving image sharing at the area level, this paper proposes an image partition security-sharing mechanism based on blockchain and chaotic encryption, which mainly includes a fine-grained access control met

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Deb, Nabamita, Mohamed A. Elashiri, T. Veeramakali, Abdul Wahab Rahmani, and Sheshang Degadwala. "A Metaheuristic Approach for Encrypting Blockchain Data Attributes Using Ciphertext Policy Technique." Mathematical Problems in Engineering 2022 (February 10, 2022): 1–10. http://dx.doi.org/10.1155/2022/7579961.

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Unlike public chains, the Alliance Blockchain Hyperledger Fabric has a member management service mechanism that may provide data isolation security at the channel level. However, because this data isolation security technique synchronizes plaintext data inside the channel, data leakage is still a possibility. Furthermore, in some fine-grained privacy protection circumstances, channel-based data access restriction is ineffective. In order to solve the data privacy security problems in the above-mentioned consortium chain superledger, a blockchain data attribute encryption scheme based on cipher

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Vemou, Konstantina, and Maria Karyda. "Requirements for private communications over public spheres." Information & Computer Security 28, no. 1 (2019): 68–96. http://dx.doi.org/10.1108/ics-01-2019-0002.

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Purpose In the Web 2.0 era, users massively communicate through social networking services (SNS), often under false expectations that their communications and personal data are private. This paper aims to analyze privacy requirements of personal communications over a public medium. Design/methodology/approach This paper systematically analyzes SNS services as communication models and considers privacy as an attribute of users’ communication. A privacy threat analysis for each communication model is performed, based on misuse scenarios, to elicit privacy requirements per communication type. Fin

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Suyono, Rudi Sugiono, Nurhayati Nurhayati, and Wisa Yustrinisa. "Mode Selection Sensitivity Analysis between BRT and Private Vehicle (Case Study of Pontianak City CBD Area)." MEDIA KOMUNIKASI TEKNIK SIPIL 27, no. 1 (2021): 61–68. http://dx.doi.org/10.14710/mkts.v27i1.29306.

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This type of public transportation BRT mode began to be officially applied in Pontianak City to overcome traffic congestion. The problem is that many travelers prefer to use private vehicles rather than public transportation. This study aims to analyze the sensitivity of the mode selection model which explains the probability of choosing a BRT against aprivate vehicles if a BRT is presented in the Central Business District of Pontianak City. The mode selection method uses the Stated Preferences Technique in the form of a quetionnaire which is analyzed by multiple linear regression to obtain a

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Hou, Yibo. "Children's Right to Personal Information towards Public Law." Frontiers in Sustainable Development 2, no. 9 (2022): 44–47. http://dx.doi.org/10.54691/fsd.v2i9.2143.

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Children's personal information rights have both public and private law attributes. However, in the digital age, the protection of children's personal information in the mode of private law has been weakened. Children's right to personal information is gradually moving towards public law, and its right attribute should be a constitutional right. As a constitutional right, children's personal information right is more focused on the state's active protection obligation.

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Mandloi, Dheeraj, and Vipul Thakur. "Public-Private Partnership Model as a Potential Attribute to Engineering and Society." International Journal of Scientific Research 2, no. 10 (2012): 1–4. http://dx.doi.org/10.15373/22778179/oct2013/39.

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Zhang, Guoyan, Jing Qin, and Shams Qazi. "Multi-Authority Attribute-Based Encryption Scheme from Lattices." JUCS - Journal of Universal Computer Science 21, no. (3) (2015): 483–501. https://doi.org/10.3217/jucs-021-03-0483.

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Access control can selectively restrict access to sensitive information stored by third-party sites on the Internet. Attribute-based encryption (ABE) schemes can strengthen the effective combination of flexibility and operability of access control. They allow one sender to encrypt a message for more than one recipient, and to specify who should be able to decrypt, using attributes alone. Since 2005, many powerful ABE schemes have been presented, but there are two types of problem that haven't be efficiently resolved so far. On the one hand, as practical extension of identity-based encryption (

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Priya, Aayushi, and Rajeev Tiwari. "A Survey: Attribute Based Encryption for Secure Cloud." IJOSTHE 5, no. 3 (2018): 12. http://dx.doi.org/10.24113/ojssports.v5i3.70.

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Cloud computing is an enormous area which shares huge amount of data over cloud services and it has been increasing with its on-demand technology. Since, with these versatile cloud services, when the delicate data stored within the cloud storage servers, there are some difficulties which has to be managed like its Security Issues, Data Privacy, Data Confidentiality, Data Sharing and its integrity over the cloud servers dynamically. Also, the authenticity and data access control should be maintained in this wide environment. Thus, Attribute based Encryption (ABE) is a significant version of cry

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Priambodho, Bambang Adhi, Siti Asyiah, Rindu Twidi Bethary, Dwi Novi Setiawati, and Kristina Takimai. "Analisis Pemilihan Moda Transportasi Bagi Mahasiswa Universitas Sultan Ageng Tirtayasa." Jurnal Komposit 9, no. 1 (2025): 205–14. https://doi.org/10.32832/komposit.v9i1.16446.

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Sultan Ageng Tirtayasa University (Untirta) has an increasing number of students every year, causing traffic jams. One way to overcome this problem is to know the characteristics of student movements in traveling, especially in choosing the mode of transportation to be used. This study aims to observe the characteristics of transportation users traveling to campus and to analyze a mode selection model.This research was conducted with data from observations, questionnaire results, literature review, and data processing using the SPSS program with the Stated Preference method and the binomial lo

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Atre, Saloni, and Mayank Namdev. "Attribute-Based Homomorphic Encryption based Integrity Auditing for Secure Outsourced Storage in Cloud." SMART MOVES JOURNAL IJOSCIENCE 4, no. 8 (2018): 8. http://dx.doi.org/10.24113/ijoscience.v4i8.150.

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Cloud computing is an enormous area which shares huge amount of data over cloud services and it has been increasing with its on-demand technology. Since, with these versatile cloud services, when the delicate data stored within the cloud storage servers, there are some difficulties which has to be managed like its Security Issues, Data Privacy, Data Confidentiality, Data Sharing and its integrity over the cloud servers dynamically. Also, the authenticity and data access control should be maintained in this wide environment. Thus, Attribute based Encryption (ABE) is a significant version of cry

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Zhang, Xiao Lei, and Yi Tang. "Protecting Encrypted Data against Inference Attacks in Outsourced Databases." Applied Mechanics and Materials 571-572 (June 2014): 621–25. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.621.

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Ensuring data privacy and improving query performance are two closely linked challenges for outsourced databases. Using mixed encryption methods to data attributes can reach an explicit trade-off between these two challenges. However, encryption cannot always conceal relations between attributes values. When the data tuples are accessed selectively, inferences based on comparing encrypted values could be launched and sensitive values may be disclosed. In this paper, we explore the attribute based inferences in mixed encrypted databases. We develop a method to construct private indexes on encry

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Senthil Kumar, K., and D. Malathi. "A Novel method to represent Access Tree structure by Context Free Grammar with and-or graph in Key Policy based Attribute based Encryption." International Journal of Engineering & Technology 7, no. 4.10 (2018): 396. http://dx.doi.org/10.14419/ijet.v7i4.10.20946.

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Important and sensitivity data of users in a third party managed internet or cloud always pose various security as well as privacy issues. Attribute-based encryption (ABE) is a pleasant trend in the literature which addresses above problem in an efficient way, and provides data security and fine-grained access control in a decentralized manner,. Key-policy attribute-based encryption (KP-ABE) is an important type of ABE, in which user can decrypt his message with a set of attributes and private keys are embedded with a access control structure which defines which cipher text an user can be allo

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Mouris, Dimitris, Christopher Patton, Hannah Davis, Pratik Sarkar, and Nektarios Georgios Tsoutsos. "Mastic: Private Weighted Heavy-Hitters and Attribute-Based Metrics." Proceedings on Privacy Enhancing Technologies 2025, no. 1 (2025): 290–319. http://dx.doi.org/10.56553/popets-2025-0017.

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Insight into user experience and behavior is critical to the success of large software systems and web services. Gaining such insights, while preserving user privacy, is a significant challenge. Recent advancements in multi-party computation have made it practical to securely compute aggregates over secret shared data. Two such protocols have emerged as candidates for standardization at IETF: Prio (NSDI 2017) for general-purpose statistics; and Poplar (IEEE S&P 2021) for heavy hitters, where the goal is to compute the most popular inputs held by users without learning the inputs themselves

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Yang, Gaoming, Xinxin Ye, Xianjin Fang, Rongshi Wu, and Li Wang. "Associated Attribute-Aware Differentially Private Data Publishing via Microaggregation." IEEE Access 8 (2020): 79158–68. http://dx.doi.org/10.1109/access.2020.2990296.

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Frederiksen, Tore Kasper, Julia Hesse, Bertram Poettering, and Patrick Towa. "Attribute-based Single Sign-On: Secure, Private, and Efficient." Proceedings on Privacy Enhancing Technologies 2023, no. 4 (2023): 35–65. http://dx.doi.org/10.56553/popets-2023-0097.

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A Single Sign-On (SSO) system allows users to access different remote services while authenticating only once. SSO can greatly improve the usability and security of online activities by dispensing with the need to securely remember or store tens or hundreds of authentication secrets. On the downside, today's SSO providers can track users' online behavior, and collect personal data that service providers want to see asserted before letting a user access their resources. In this work, we propose a new policy-based Single Sign-On service, i.e., a system that produces access tokens that are condit

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Purba, Ravyson. "Decision Support System for Determining Homeroom Teachers in Musda Perbaungan Private Vocational Schools Using the Simple Additive Weighting Method." International Journal of Basic and Applied Science 8, no. 3 (2019): 89–96. http://dx.doi.org/10.35335/ijobas.v8i3.43.

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This research is based on observations, the MUSDA Perbaungan Private Vocational School is one of the vocational schools that cannot be separated from the struggle of the Regional Government of Serdang Bedagai Regency which is located in Tualang. MUSDA Perbaungan Private Vocational School has majors in Computer Network Engineering, Software Engineering, Light Vehicle Engineering, Motorcycle Engineering, and Mechanical Engineering with a total number of 45 teachers. Making a decision support system for determining homeroom teachers is very much needed by the MUSDA Perbaungan Private Vocational S

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Chan, Eric S. W., and Louisa Lam. "Understanding attributes affecting selection of private kitchens." International Journal of Contemporary Hospitality Management 21, no. 7 (2009): 854–75. http://dx.doi.org/10.1108/09596110910985322.

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PurposePrivate kitchens have grown significantly in the past few years in Hong Kong and have become popular in the catering industry. This study aims to examine the expectations and perceptions of private kitchen diners regarding their dining experiences.Design/methodology/approachA descriptive research design and a cross‐sectional survey were used. Face‐to‐face interviews were conducted with 167 respondents in four main business districts in Hong Kong. The first section of the questionnaire included some screening questions. In the first part of the second section, respondents were asked to r

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Kulikov, Fedor I. "REVISITING THE MECHANISMS OF FUNCTIONING OF THE ARTISTIC SPACE OF AN OLD EGYPTIAN PRIVATE TOMB." Russian Studies in Culture and Society 7, no. 3 (2023): 102–16. http://dx.doi.org/10.12731/2576-9782-2023-3-102-116.

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This paper examines the mechanism of functioning of the artistic space of the Egyptian noble tomb of the Old Kingdom period as a system of pictorial and architectural components. The purpose of the burial and the mechanism of functioning of the system to a great extent determined the themes and content of the plots, which contributes a special relevance to the study. A systematic analysis of reliefs from more than a hundred burials of the necropolises of Giza and Saqqara is used, with a focus on the design of the large tombs of Yasen and Chi. The paper emphasizes the fact that the universal me

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Ramadhan, Aditya, Suryawan Murtiadi, and I. Ketut Budastra. "An Analysis of Consumer Preference to Residential Houses in West Java Province." RESEARCH REVIEW International Journal of Multidisciplinary 8, no. 7 (2023): 38–47. http://dx.doi.org/10.31305/rrijm.2023.v08.n07.006.

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The construction sector is one of the main sectors driving economic growth in Indonesia. Along with rapid population growth, the need for housing is also increasing. Housing development in the city of Bogor has grown rapidly since the 1990s when state-owned enterprises and a number of private developers enter the market. The purpose of this research is to find high-potential product profiles in accordance with consumer preferences. For this purpose, this research analyzed primary data on the evaluation scores of 100 consumer respondents. Data collection uses structured questionnaires, and data

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Yang, Qing, Cheng Wang, Teng Hu, Xue Chen, and Changjun Jiang. "Implicit privacy preservation: a framework based on data generation." Security and Safety 1 (2022): 2022008. http://dx.doi.org/10.1051/sands/2022008.

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This paper addresses a special and imperceptible class of privacy, called implicit privacy. In contrast to traditional (explicit) privacy, implicit privacy has two essential properties: (1) It is not initially defined as a privacy attribute; (2) it is strongly associated with privacy attributes. In other words, attackers could utilize it to infer privacy attributes with a certain probability, indirectly resulting in the disclosure of private information. To deal with the implicit privacy disclosure problem, we give a measurable definition of implicit privacy, and propose an ex-ante implicit pr

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Zheng, Yike. "The Copyright Challenges of Cultural Heritage Digitization and its Countermeasures." International Journal of Social Sciences and Public Administration 4, no. 1 (2024): 371–89. http://dx.doi.org/10.62051/ijsspa.v4n1.44.

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There is a conflict between the public and private interest attributes of cultural heritage digitization achievements in practice. In order to balance this conflict, on the one hand, although cultural heritage digitization achievements are the achievements derived from cultural heritage of public nature, due to the fact that they have inevitably intervened in the process of digitization with wisdom and labour, and generated corresponding property value, they have the attribute of private interest, therefore, their private interest should be confirmed by way of copyright compensation, and diffe

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Liu, Chenlei, Feng Xiang, and Zhixin Sun. "Multiauthority Attribute-Based Access Control for Supply Chain Information Sharing in Blockchain." Security and Communication Networks 2022 (April 12, 2022): 1–18. http://dx.doi.org/10.1155/2022/8497628.

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Information sharing has become an important application in modern supply chain management systems with business technology development. Because traditional supply chain information systems have problems such as easy data tampering, low information transparency, and interaction delays, blockchain has been taken consideration into supply chain information sharing research. Furthermore, blockchain technology is expected to provide decentralized supply chain information sharing solutions to enhance security, availability, and transparency. However, with the in-depth study of the application of blo

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Oktaviana, Tifany, Dwi Haryono, and Erlina Rufaidah. "SIKAP DAN KEPUASAN KONSUMEN KOPI BUBUK GUNUNG SEKINCAU DI KECAMATAN SEKINCAU KABUPATEN LAMPUNG BARAT." Jurnal Ilmu-Ilmu Agribisnis 11, no. 1 (2023): 9. http://dx.doi.org/10.23960/jiia.v11i1.6127.

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This study aims to analyze consumer characteristics, consumer attitudes, and levels of consumer satisfaction on Gunung Sekincau ground coffee products. This study used a survey method through a qualitative descriptive approach with 50 samples. The analytical method uses the Fishbein Multi-attribute Model, Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA). The results showed that most of the consumers of Gunung Sekincau ground coffee were male aged 24-30 years, with more than 3 family members, working as private employees with a monthly income of more than IDR3,000,000

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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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Lian, Huijie, Qingxian Wang, and Guangbo Wang. "Large Universe Ciphertext-Policy Attribute-Based Encryption with Attribute Level User Revocation in Cloud Storage." International Arab Journal of Information Technology 17, no. 1 (2019): 107–17. http://dx.doi.org/10.34028/iajit/17/1/13.

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Ciphertext-Policy Attribute-Based Encryption (CP-ABE), especially large universe CP-ABE that is not bounded with the attribute set, is getting more and more extensive application in the cloud storage. However, there exists an important challenge in original large universe CP-ABE, namely dynamic user and attribute revocation. In this paper, we propose a large universe CP-ABE with efficient attribute level user revocation, namely the revocation to an attribute of some user cannot influence the common access of other legitimate attributes. To achieve the revocation, we divide the master key into

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Fan, Meng, and Jinping Dai. "Monetary attribute of stablecoins: A theoretical and empirical test." National Accounting Review 5, no. 3 (2023): 261–81. http://dx.doi.org/10.3934/nar.2023016.

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<abstract> <p>With the continuous expansion of their market size and scope of use, the monetary attribute of stablecoins has become a focal point. The identification of the monetary attribute of stablecoins is a prerequisite for their supervision. Based on the essence and macroeconomic effects of money, this paper analyzes the monetary attribute of stablecoins from theoretical and empirical perspectives. We find that in the traditional financial market, stablecoins are not widely accepted, and their increased supply competes with traditional financial assets. As new types of digita

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Manouselis, Nikos, and Andreas M. Maras. "Multi-attribute Services Brokering in Agent-based Virtual Private Networks." Computing Letters 1, no. 3 (2005): 137–43. http://dx.doi.org/10.1163/1574040054861230.

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This paper presents the development of an agent-based Virtual Private Network (VPN) system that supports multimedia service brokering. The VPN agents employ multi-attribute preference models in order to represent the end-user preferences, and a multi-criteria decision making model to evaluate available services from network providers. A prototype multi-agent system demonstrating the proposed approach has also been implemented.

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Kumar, G. Sravan, and A. Sri Krishna. "Traitor Traceable and Revocation-oriented Attribute Based Encryption with Proxy Decryption for Cloud Devices." International Journal of Computer Network and Information Security 16, no. 3 (2024): 37–51. http://dx.doi.org/10.5815/ijcnis.2024.03.04.

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Cloud storage environment permits the data holders to store their private data on remote cloud computers. Ciphertext Policy Attribute Based Encryption (CP-ABE) is an advanced method that assigns fine-grained access control and provides data confidentiality for accessing the cloud data. CP-ABE methods with small attribute universe limit the practical application of CP-ABE as the public parameter length linearly increases with the number of attributes. Further, it is necessary to provide a way to perform complex calculations during decryption on outsourced devices. In addition, the state-of-art

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