Sunday 21st of January 2018

Effects of Black Hole Attack on MANET Using Reactive and Proactive Protocols

Irshad Ullah and Shahzad Anwar

Wireless networks are gaining popularity to its peak in the present era and therefore appealing the users for wireless connectivity irrespective of their geographic position. There is an increasing threat of attacks on the Mobile Ad-hoc Networks (MANET). Black hole attack is one of the security threat in which the traffic is redirected to such a node that actually does not exist in the network. The scope of this paper is to study the effects of Black hole attack in MANET using both Proactive routing protocol (i.e. Optimized Link State Routing (OLSR) and Reactive routing protocol Ad-Hoc On Demand Distance Vector (AODV)). Comparative analysis of Black Hole attack for both protocols is taken into consideration. The impact of Black Hole attack on the performance of MANET is evaluated exploring which protocol is more vulnerable to the attack and it was found that AODV is 10% more vulnerable to Black Hole attack as compared to OLSR. The measurements were taken in the light of throughput, end-to-end delay and network load. Simulation is done in Optimized Network Engineering Tool (OPNET).

Keywords: MANET, Black Hole, Routing Protocols.

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Irshad Ullah
Irshad Ullah born in Charsadda Pakistan in 1984. He has completed his Masters in Electrical Engineering with Emphasis on Telecommunication from Blekinge Institute of Technology Sweden. Worked as software developer at National Centre of Excellence for Urdu Informatics Islamabad from March 2006 to September 2006. He joined Frontier Institute of Technology Charsadda as instructor in 200 and taught 3D-Max and Network Technologies. Currently working at Iqra National University Peshawar Pakistan as Lecturer in Department of Computer Science. His research interest is in the field of Networks.

Shahzad Anwar
Shahzad Anwar (PhD, MS, M.Sc, B.Sc) is currently heading the postgraduate research program of the department of computer Science, at IQRA National University Peshawar. He has accomplished his PhD Degree from Bristol Institute, UWE Bristol, England. His work focuses on Electrical & Computer Engineering with particular attention into innovative Computer Vision and Image processing techniques for image capture and analysing three-dimensional (3D) skin surface textures, in order to provide an additional indicator of the presence of skin cancer (Malignant Melanoma). He has attended British Machine Vision Summer School 2012 organised by the department of biomedical engineering at the University of Manchester, England. Previously, he has accomplished his MS degree (in Electronic Engineering) from Ghulam Ishaq Khan (GIK) Institute; MSc & BSc (Electronics) from the University of Peshawar.

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