International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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India | Electronics Communication Engineering | Volume 4 Issue 12, December 2015 | Pages: 1367 - 1371


New Approach of Intrusion Detection for Malicious Behavior Detection in MANETS

Aruna P Adhav, K T Jadhao

Abstract: Mobile Ad hoc Networks (MANET) lacks fixed infrastructure in which nodes communicate directly with each other when they are both within the same communication range. The self-configuring ability of nodes in MANET made it popular among critical mission applications like military use or emergency recovery. However, the open medium and wide distribution of nodes make MANET vulnerable to malicious attackers. Due to lack of central control, an intermediate node may drop the data packets because of being selfish or malicious. In this case, it is crucial to develop efficient intrusion-detection system (IDS) to protect MANET from attacks. One of the IDS called Watchdog scheme failed to detect malicious misbehaviors with the presence of various misbehavior activities from which some of them can be removed by various acknowledgment based methods but these methods failed to remove all the attacks. An IDS named Enhanced Adaptive ACKnowledgment (EAACK) with digital signature designed for MANETs try to detect malicious node in some cases but still failed to give complete result. Here we propose the design of a simple yet effective NACK in which the new ACKnowledgement-based scheme, called NACK and Combination of DSA and RSA cryptography is introduced in EAACK based on the DSR protocol. As per our theoretical analysis, the proposed IDS scheme gives higher malicious-behavior-detection rates in certain circumstances while improving security and does not greatly affect the network performances.

Keywords: Digital Signature, DSA, RSA, EAACK, MANET

How to Cite?: Aruna P Adhav, K T Jadhao, "New Approach of Intrusion Detection for Malicious Behavior Detection in MANETS", Volume 4 Issue 12, December 2015, International Journal of Science and Research (IJSR), Pages: 1367-1371, https://www.ijsr.net/getabstract.php?paperid=NOV152225, DOI: https://dx.doi.org/10.21275/NOV152225


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