Journal
JOURNAL OF COMPUTER AND SYSTEM SCIENCES
Volume 88, Issue -, Pages 27-52Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcss.2017.03.013
Keywords
Information hiding; Quantitative information flow; Belief combination; Probabilistic models; Uncertainty; Accuracy
Funding
- INRIA Large Scale Initiative CAPPRIS (Collaborative Action for the Protection of Privacy Rights in the Information Society)
- project Horizon: SUNFISH [644666]
Ask authors/readers for more resources
Belief and min-entropy leakage are two well-known approaches to quantify information flow in security systems. Both concepts stand as alternatives to the traditional approaches founded on Shannon entropy and mutual information, which were shown to provide inadequate security guarantees. In this paper we unify the two concepts in one model so as to cope with the frequent (potentially inaccurate, misleading or outdated) attackers' side information about individuals on social networks, online forums, blogs and other forms of online communication and information sharing. To this end we propose a new metric based on min-entropy that takes into account the adversary's beliefs. (C) 2017 Elsevier Inc. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available