Identification of malicious node and secure data transmission in mobile adhoc networks

Abstract

A group of mobile nodes linked together to perform a particular communication task with no centralized control is called a MANET. The greatest advantage in a MANET is the lack of infrastructure, which makes it easy for each node in the network to autonomously perform direct interactions with another node, routing operations, decision making and data alteration during the communication process. MANETs are generally organized without infrastructure. Hence, they are moderately defenceless to malicious active and passive attacker that target to damage and trace the data transmission direction. Cryptographic technique can avoid several attacks. However, an attacker captures mobile nodes, evokes their cryptanalytic key and modifies their code to behave maliciously. Therefore, the malicious node detection is a significant problem in the MANET. The major objective of the proposed research work is to detect the malicious nodes and provide secure data transmission from source to destination by using two different mechanisms. They are: Malicious node and malicious Observer node Detection System; Secure Data Transmission by Network Background Free Parsing Analyzing (BFPA) for Detecting Malicious Nodes in MANET. In the first part of the research, Malicious node and malicious Observer node Detection System (MODS) in MANET is proposed. This mechanism aims to detect the malicious node and protect the data from the malicious observer in MANET. In this mechanism, the Context Free Grammar Technique detects the malicious node and Fibonacci Pascal Triangle method generates the dummy route to send confidential information from source to destination. This method produced 49.86% efficiency when compared to the existing ALERT mechanism. newline