Evaluating the Usefulness of Watchdogs for Intrusion Detection in VANETs

Hortelano, Jorge; Ruíz, Juan Carlos; Manzoni, Pietro

doi:10.1109/iccw.2010.5503946

Cited by 80 publications

(38 citation statements)

References 9 publications

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“…As in MANETs, the watchdog-based detection mechanism is usually proposed for the detection of blackhole attacks in VANETs [8]. With this method, every packet sent by vehicles is watched.…”

Section: Related Workmentioning

confidence: 99%

Attack Analysis in Vehicular Ad Hoc Networks

Mintemur¹,

Şen²

2017

Computer Science &Amp; Information Technology (CS &Amp; IT)

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“…As in MANETs, the watchdog-based detection mechanism is usually proposed for the detection of blackhole attacks in VANETs [8]. With this method, every packet sent by vehicles is watched.…”

Section: Related Workmentioning

confidence: 99%

Attack Analysis in Vehicular Ad Hoc Networks

Mintemur¹,

Şen²

2017

Computer Science &Amp; Information Technology (CS &Amp; IT)

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“…In [26], the authors propose an acknowledgement scheme to prevent packet dropping and false misbehaviour report generation by nodes for MANETs to report or convict a rogue node. In [27], the authors propose a watchdog for intrusion detection in VANETs. The watchdog works by monitoring all packets to decide if an attack is under progress.…”

Section: Related Workmentioning

confidence: 99%

Host-Based Intrusion Detection for VANETs: A Statistical Approach to Rogue Node Detection

Zaidi

Milojevic

Rakocevic

et al. 2016

IEEE Trans. Veh. Technol.

170

115

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract-In this work, an Intrusion Detection System (IDS) for vehicular ad hoc networks (VANETs) is proposed and evaluated. The IDS is evaluated by simulation in presence of rogue nodes that can launch different attacks. The proposed IDS is capable of detecting a false information attack using statistical techniques effectively and can also detect other types of attacks. First, the theory and implementation of the VANET model that is used to train the IDS is discussed. Then an extensive simulation and analysis of our model under different traffic conditions is conducted to identify the effects of these parameters in VANETs. In addition, the extensive data gathered in the simulations is presented using graphical and statistical techniques. Moreover, rogue nodes are introduced in the network and an algorithm is presented to detect these rogue nodes. Finally, we evaluate our system and observe that the proposed application layer IDS based on cooperative information exchange mechanism is better for dynamic and fast moving networks such as VANETs as compared to other techniques available. Permanent repository link

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“…Raya et al [7], presented a method to protect the privacy of vehicles from the other vehicles by generating fake identity of vehicles. Jorge h. et al [8], proposed a scheme to detect the behavior of the neighbor node by watching them continuously. It used intrusion detection of a watchdog to differentiate the malicious node.…”

Section: Literature Reviewmentioning

confidence: 99%

Vehicular Ad Hoc Networks: Hashing and Trust Computation Techniques

Agarwal¹,

Bhardwaj²

2016

IJGDC

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Vehicular ad-hoc networks (VANETs) Due to its great benefits, it is highly vulnerable to various attacks and security in VANET should be taken into consideration. This paper presented the security attacks between vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I). Many research works have been done to improve the performance and security of this network. The main aim of this paper is the security using hashing and techniques to calculate the trust in VANETs.

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Evaluating the Usefulness of Watchdogs for Intrusion Detection in VANETs

Cited by 80 publications

References 9 publications

Attack Analysis in Vehicular Ad Hoc Networks

Attack Analysis in Vehicular Ad Hoc Networks

Host-Based Intrusion Detection for VANETs: A Statistical Approach to Rogue Node Detection

Vehicular Ad Hoc Networks: Hashing and Trust Computation Techniques

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