Testing viability of relay policies for reactive CCA applications in VANETs

Tomas-Gabarron, Juan-Bautista; Egea-López, Esteban; García-Haro, Joan; Hernández, Rocío Murcia

doi:10.1109/wimob.2010.5645020

Cited by 4 publications

(1 citation statement)

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“…There are some publications that focus on the testing of CCA algorithms and VANET protocols (see [14] or [13]), but none addresses the possibility of automated testing for security-related abuses. Additionally, our work appears to be alone in testing CCA algorithms with the presence of adversarial agents whose goal it is to subvert the proper function of the CCA system.…”

Section: Related Workmentioning

confidence: 99%

Automated testing for cyber threats to ad-hoc wireless networks

Bergmann

Denzinger

2014

2014 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)

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Incremental Adaptive Corrective Learning is a method for testing ad-hoc wireless networks for vulnerabilities that adversaries can exploit. It is based on an evolutionary search for tests that define behaviors for adversary-controlled network nodes. The search incrementally increases the number of such nodes and first adapts each new node to the behaviors of the already existing attackers before improving the behavior of all attackers. Tests are evaluated in simulations and behaviors are corrected to fulfill all protocol induced obligations that are not explicitly targeted for an exploit.In this paper, we substantiate the claim that this is a general method by instantiating it for different vulnerability goals and by presenting an application for cooperative collision avoidance using VANETs. In all those instantiations, the method is able to produce concrete tests that demonstrate vulnerabilities. A. General set-upAny application of ad-hoc wireless networks consists of a collection of potentially mobile wireless nodes within a geographic area that exchange messages using usually a number of network protocols that specify packet types, fields and the expected sequence of transmissions. Many of the protocols 978-1-4799-4521-4/14/$31.00 ©2014 IEEE

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Section: Related Workmentioning

confidence: 99%