Multiple network blasts — Malicious catching and defect node retrieval system

Abstract

Wireless multiple blasts like sybil blast, worm hole blast, black hole blast, Internet Protocols address faking blast and Mac address faking blast are easy to launch and can significantly impact the performance of networks. Although the identity and security of a node can be verified through various security mechanisms are not always suitable to improve the wireless network performance and fault node cannot be easily recover from the blasts. In this paper, I propose to use distributed detection algorithm to efficiently measure the performance of networks and handle those blasts in accurate and separate manner. In extension to distributed detection algorithm a three separate intrusion detection system is proposed to detect these types of blasts efficiently with good accuracy. Local monitoring algorithm is proposed to detect the multiple blasts. After detecting these blasts the blaster nodes are eliminated. The simulation result shows better performance of our proposed system. I evaluated our techniques through two test beds in two different networks. Our experimental results show that our proposed methods can achieve over 96 percent Hit Rate and Precision when determining the sybil blast, worm hole blast, black hole blast, Internet Protocols address faking blast and medium access control address faking blast.