Results 81 to 90 of about 7,115,390 (197)
A Privacy-Preserving Continuous Location Monitoring System for Location-Based Services
To protect users’ private locations in location-based services, various location anonymization techniques have been proposed. The most commonly used technique is spatial cloaking, which organizes users’ exact locations into cloaked regions (CRs).
Doohee Song +3 more
doaj +1 more source
In recent years, there has been a tremendous rise in both the volume and variety of big data, providing enormous potential benefits to businesses that seek to utilize consumer experiences for research or commercial purposes.
Burak Cem Kara +2 more
doaj +1 more source
k-Anonymity protects privacy by ensuring that data cannot be linked to a single individual. In a k-anonymous dataset, any identifying information occurs in at least k tuples.
M. Ercan, Nergiz Chris Clifton
core
The Sampling Twice Technique for the RSA-based Cryptosystems with Anonymity
We say that an encryption scheme or a signature scheme provides anonymity when it is infeasible to determine which user generated a ciphertext or a signature.
Ryotaro Hayashi +2 more
core
State-of-the-art in privacy preserved k-anonymity revisited
The prevalent conditions in data sharing and mining have necessitated the release and revelation of certain vulnerable private information.
Salleh, Mazleena +1 more
core +1 more source
Trader Anonymity, Price Formation and Liquidity [PDF]
Using data from the Frankfurt Stock Exchange we analyze price formation and liquidity in a non-anonymous environment with similarities to the floor of the NYSE. Our main hypothesis is that the non-anonymity allows the specialist to assess the probability
Erik Theissen
core
Study on Privacy Protection Algorithm Based on K-Anonymity
Basing on the study of K-Anonymity algorithm in privacy protection issue, this paper proposed a “Degree Priority” method of visiting Lattice nodes on the generalization tree to improve the performance of K-Anonymity algorithm. This paper also proposed a “
LiFeng, Dong +3 more
core +1 more source
Improving k-anonymity based privacy preservation for collaborative filtering
Available online 9 March 2018Collaborative Filtering (CF) is applied in recommender systems to predict users’ preference through filtering the information or patterns.
Hong Shen +8 more
core +1 more source
The Anonymity Engine, Minimizing Quasi-Identifiers to Strengthen k-Anonymity
The k-anonymity model has become a standard for anonymizing data. However, almost all applications of k-anonymity are used to anonymize large data sets of personally identifiable information owned by a trusted third party before being given to analysists
Lobato, Eric Matthew
core +1 more source
A Game-Theoretic Analysis of Cooperation in Anonymity Networks
Anonymity systems are of paramount and growing importance in communication networks. They rely on users to cooperate to the realisation of an effective anonymity service.
Hamadou, Sardaouna +2 more
core

