activity
20092019
most citedBreaching the privacy of connected vehicles network

6 citations · 15 across the 11 of their papers we have counts for

collaborators

12 papers

cs.DS2019

Construction and Maintenance of Swarm Drones

Kiril Danilchenko, Michael Segal

In this paper we study the dynamic version of the covering problem motivated by the coverage of drones' swarm: Let be a set of non-negative weighted points in the plane rep…

cs.DS2019

THAAD: Efficient Matching Queries under Temporal Abstraction for Anomaly Detection

Roni Mateless, Michael Segal, Robert Moskovitch

In this paper we present a novel algorithm and efficient data structure for anomaly detection based on temporal data. Time-series data are represented by a sequence of symbolic tim…

cs.NI2019

Improved solution to data gathering with mobile mule

Yoad Zur, Michael Segal

In this work we study the problem of collecting protected data in ad-hoc sensor network using a mobile entity called MULE. The objective is to increase information survivability in…

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…