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MSCS
2010
84views more  MSCS 2010»
13 years 6 months ago
Channel abstractions for network security
Abstractions for Network Security† MICH E L E B U G L I E S I, R I C C A R D O F O C A R D I Dipartimento di Informatica, Universit`a Ca’ Foscari, Venice. Received 6 October 20...
Michele Bugliesi, Riccardo Focardi
WCNC
2010
IEEE
13 years 11 months ago
MUTON: Detecting Malicious Nodes in Disruption-Tolerant Networks
—The Disruption Tolerant Networks (DTNs) are vulnerable to insider attacks, in which the legitimate nodes are compromised and the adversary modifies the delivery metrics of the ...
Yanzhi Ren, Mooi Choo Chuah, Jie Yang, Yingying Ch...
TSMC
2010
13 years 2 months ago
Attack and Flee: Game-Theory-Based Analysis on Interactions Among Nodes in MANETs
In mobile ad hoc networks, nodes have the inherent ability to move. Aside from conducting attacks to maximize their utility and cooperating with regular nodes to deceive them, mali...
Feng Li, Yinying Yang, Jie Wu
SCN
2008
Springer
147views Communications» more  SCN 2008»
13 years 7 months ago
Privacy-preserving secure relative localization in vehicular networks
Relative location information helps build vehicle topology maps. Such maps provide location information of nearby vehicles to drivers. In building a vehicle topology, one must cons...
Lei Tang, Xiaoyan Hong, Phillip G. Bradford
CCS
2009
ACM
14 years 2 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft