Optimal Channel Design: A Game Theoretical Analysis

Autor: MHR. Khouzani, Pasquale Malacaria

Publikováno v: Entropy, Vol 20, Iss 9, p 675 (2018)

This paper studies the problem of optimal channel design. For a given input probability distribution and for hard and soft design constraints, the aim here is to design a (probabilistic) channel whose output leaks minimally from its input. To analyse

Externí odkaz: https://doaj.org/article/d41550ca46b74d1ba81d2ada436c9679

Generalized Entropies and Metric-Invariant Optimal Countermeasures for Information Leakage Under Symmetric Constraints

Autor: Pasquale Malacaria, Mhr. Khouzani

Publikováno v: IEEE Transactions on Information Theory. 65:888-901

We introduce a novel generalization of entropy and conditional entropy from which most definitions from the literature can be derived as particular cases. Within this general framework, we investigate the problem of designing countermeasures for info

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fccf21ba0d21205f6740577135d1288
https://doi.org/10.1109/tit.2018.2883705

Malware Detection Using 1-Dimensional Convolutional Neural Networks

Autor: Arindam Sharma, Mhr. Khouzani, Pasquale Malacaria

Publikováno v: EuroS&P Workshops

This work introduces a highly accurate and efficient malware detection system based on 1-dimensional convolutional neural networks. The system takes as input a binary file and classifies it as malicious or benign. There is minimal pre-processing of t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a8ef849166ebe2bc4def7fed901dcb7b
https://doi.org/10.1109/eurospw.2019.00034

Core-concavity, Gain Functions and Axioms for Information Leakage

Autor: Pasquale Malacaria, Arthur Americo, Mhr. Khouzani

Publikováno v: The Art of Modelling Computational Systems: A Journey from Logic and Concurrency to Security and Privacy ISBN: 9783030311742
The Art of Modelling Computational Systems

This work explores connections between core-concavity and gain functions, two alternative approaches that emerged in the quantitative information flow community to provide a general framework to study information leakage. In particular (1) we revisit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9eba75ce38c432ed667076cec405e68f
https://doi.org/10.1007/978-3-030-31175-9_15

Optimal Patching in Clustered Malware Epidemics

Autor: Mhr. Khouzani, Soheil Eshghi, Santosh S. Venkatesh, Saswati Sarkar

Publikováno v: IEEE/ACM Transactions on Networking. 24:283-298

Studies on the propagation of malware in mobile networks have revealed that the spread of malware can be highly inhomogeneous. Platform diversity, contact list utilization by the malware, clustering in the network structure, etc. can also lead to dif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03e0e3a1edb4d05314c8c31037901793
https://doi.org/10.1109/tnet.2014.2364034