6 citations · 15 across the 11 of their papers we have counts for
Showing 2019 · cs.CRShow all
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cs.CR2019★ 1 cited
Privacy Vulnerabilities of Dataset Anonymization Techniques
Eyal Nussbaum, Michael Segal
Vast amounts of information of all types are collected daily about people by governments, corporations and individuals. The information is collected when users register to or use o…
cs.CR2019
Approximate String Matching for DNS Anomaly Detection
Roni Mateless, Michael Segal
In this paper we propose a novel approach to identify anomalies in DNS traffic. The traffic time-points data is transformed to a string, which is used by new fast appproximate stri…
cs.CR2019★ 6 cited
Breaching the privacy of connected vehicles network
Vladimir Kaplun, Michael Segal
Connected Vehicles network is designed to provide a secure and private method for drivers to use the most efficiently the roads in certain area. When dealing with the scenario of c…