An Approach to Mitigate Black Hole Attacks on Vehicular Wireless Networks

Vehicular communication systems have significant benefits. Their adoption and use in motor vehicles can help prevent road traffic accidents, increase route efficiency and fuel economy, and positively impact the user experience. As autonomous vehicles and inter-vehicular communication systems are becoming increasingly commonplace, the need for robust and secure wireless communication between vehicles is essential. The black hole attack is an attack vector that can significantly reduce the availability of Vehicular Ad Hoc Networks (VANETs) and prevent communication between vehicles entirely. We propose a solution to help secure these networks against this vulnerability by detecting the attack and removing the malicious node from the network. We validated our proposal using a simulation model in NS-3; results show that our system can detect, stop, and prevent black hole attacks in VANETs.

[1]  Dhaval Dave,et al.  An effective Black hole attack detection mechanism using Permutation Based Acknowledgement in MANET , 2014, 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[2]  Juan-Carlos Cano,et al.  Accurate detection of black holes in MANETs using collaborative bayesian watchdogs , 2012, 2012 IFIP Wireless Days.

[3]  Charles E. Perkins,et al.  Ad hoc On-Demand Distance Vector (AODV) Routing , 2001, RFC.

[4]  George F. Riley,et al.  The ns-3 Network Simulator , 2010, Modeling and Tools for Network Simulation.

[5]  Manel Guerrero Zapata Secure ad hoc on-demand distance vector routing , 2002, MOCO.

[6]  Upendra Singh,et al.  Detecting and avoiding of worm hole attack and collaborative blackhole attack on MANET using trusted AODV routing algorithm , 2015, 2015 International Conference on Computer, Communication and Control (IC4).

[7]  Simson L. Garfinkel,et al.  PGP: Pretty Good Privacy , 1994 .

[8]  Mohammed Saeed Al-kahtani,et al.  Survey on security attacks in Vehicular Ad hoc Networks (VANETs) , 2012, 2012 6th International Conference on Signal Processing and Communication Systems.

[9]  Juan-Carlos Cano,et al.  Intrusion Detection Systems : Are They Feasible in MANETs ? , 2010 .

[10]  Hussein Zedan,et al.  A comprehensive survey on vehicular Ad Hoc network , 2014, J. Netw. Comput. Appl..

[11]  Winston Khoon Guan Seah,et al.  Security threats and solutions in MANETs: A case study using AODV and SAODV , 2012, J. Netw. Comput. Appl..

[12]  Panagiotis Papadimitratos,et al.  Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation , 2009, IEEE Communications Magazine.

[13]  Ashok Kumar,et al.  Prevention of DoS Attacks in VANET , 2013, Wireless Personal Communications.

[14]  Kishor Jyoti Sarma,et al.  A survey of Black hole attack detection in Manet , 2014, 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT).

[15]  Kwok-Yan Lam,et al.  SAODV: A MANET Routing Protocol that can Withstand Black Hole Attack , 2009, 2009 International Conference on Computational Intelligence and Security.

[16]  Manel Guerrero Zapata Secure Ad hoc On-Demand Distance Vector (SAODV) Routing , 2006 .