Obfuscation Padding Schemes that Minimize Rényi Min-Entropy for Privacy


연구 분야: Analysis



학회: International Conference on Information Security Practice and Experience


초록

Consider a set of users, each of which is choosing and downloading one file out of a central pool of public files, and an attacker that observes the download size for each user to identify the choice of each user. This paper studies the problem of padding the files to obfuscate the exact file sizes and minimize the expected accuracy of the attacker, without exceeding some given padding constraints. We derive the algorithm that finds the optimal padding scheme, prove its correctness, and compare it with an existing solution that uses a similar but different attack model. We also discuss how the two solutions are related in terms of private information leakage.


Author Profile
Sebastian Simon

Inria Saclay France Laboratoire d’Informatique de l’École Polytechnique (LIX) Palaiseau France

France
Author Profile
Cezara Petrui

Inria Saclay France Laboratoire d’Informatique de l’École Polytechnique (LIX) Palaiseau France

France
Author Profile
Carlos Pinzón

Inria Saclay France Laboratoire d’Informatique de l’École Polytechnique (LIX) Palaiseau France

France

📄 논문 정보

발행 연도 2023년
인용수 0
출판 국가 France
사이트 Springer
좋아요 수 0

연관 논문 목록 (127건)