Results 21 to 30 of about 9,107,365 (284)
The k-Anonymity Problem Is Hard [PDF]
, 2009 21 pages, A short version of this paper has been accepted in FCT 2009 - 17th International Symposium on Fundamentals of Computation ...
Bonizzoni, P, Della Vedova, G, Dondi, R
openaire +3 more sources
Computers & Security, 2014 Abstract Anonymization-based privacy protection ensures that published data cannot be linked back to an individual. The most common approach in this domain is to apply generalizations on the private data in order to maintain a privacy standard such as k -anonymity.
Nergiz, Mehmet Ercan +1 more
openaire +2 more sources
Spatiotemporal Mobility Based Trajectory Privacy-Preserving Algorithm in Location-Based Services
Sensors, 2021 Recent years have seen the wide application of Location-Based Services (LBSs) in our daily life. Although users can enjoy many conveniences from the LBSs, they may lose their trajectory privacy when their location data are collected.
Zhiping Xu +4 more
doaj +1 more source
How to apply Database Anonymity Notions to Mix Networks
, 2021 Communication networks are an indispensable part of our society. By observing network traffic, one can acquire sensitive information about individuals, businesses, or governments.
Aksoy, Alperen +2 more
core +1 more source
An Efficient Location Privacy Protection Scheme Based on the Chinese Remainder Theorem
Tsinghua Science and Technology, 2016 Traditional k-anonymity schemes cannot protect a user’s privacy perfectly in big data and mobile network environments. In fact, existing k-anonymity schemes only protect location in datasets with small granularity.
Jingjing Wang +2 more
doaj +1 more source
The K-Anonymization Method Satisfying Personalized Privacy Preservation
Chemical Engineering Transactions, 2015 Even if k-anonymity model can prevent publishing data from disclosing privacy effectively and efficiently, due to the uneven distribution of the sensitive data, ordinary k-anonymization method cannot guarantee each tuple satisfying the personalized ...
J.L. Song +4 more
doaj +1 more source
Recommendation with k-anonymized Ratings
CoRR, 2017 Recommender systems are widely used to predict personalized preferences of goods or services using users' past activities, such as item ratings or purchase histories. If collections of such personal activities were made publicly available, they could be used to personalize a diverse range of services, including targeted advertisement or recommendations.
Jun Sakuma, Tatsuya Osame
openaire +4 more sources
Trust in Crowds: probabilistic behaviour in anonymity protocols [PDF]
, 2010 The existing analysis of the Crowds anonymity protocol assumes that a participating member is either ‘honest’ or ‘corrupted’. This paper generalises this analysis so that each member is assumed to maliciously disclose the identity of other nodes with a ...
Hamadou, Sardaouna +5 more
core +2 more sources
PTA: An Efficient System for Transaction Database Anonymization
IEEE Access, 2016 Several approaches have been proposed to anonymize relational databases using the criterion of k-anonymity, to avoid the disclosure of sensitive information by re-identification attacks.
Jerry Chun-Wei Lin +3 more
doaj +1 more source
Attribute Couplet Attacks and Privacy Preservation in Social Networks
IEEE Access, 2017 The emerging of social networks, e.g., Facebook, Twitter, and Instagram, has eventually changed the way in which we live. Social networks are acquiring and storing a significant amount of profile information and daily activities of over billions of ...
Dan Yin, Yiran Shen, Chenyang Liu
doaj +1 more source