Artificial intelligence based intrusion detection system to detect flooding attack in VANETs

This chapter describes how Vehicular Ad hoc Networks (VANETs) are classes of ad hoc networks that provides communication among various vehicles and roadside units. VANETs being decentralized are susceptible to many security attacks. A flooding attack is one of the major security threats to the VANET environment. This chapter proposes a hybrid Intrusion Detection System which improves accuracy and other performance metrics using Artificial Neural Networks as a classification engine and a genetic algorithm as an optimization engine for feature subset selection. These performance metrics have been calculated in two scenarios, namely misuse and anomaly. Various performance metrics are calculated and compared with other researchers' work. The results obtained indicate a high accuracy and precision and negligible false alarm rate. These performance metrics are used to evaluate the intrusion system and compare with other existing algorithms. The classifier works well for multiple malicious nodes. Apart from machine learning techniques, the effect of the network parameters like throughput and packet delivery ratio is observed.SCOPUS: ch.binfo:eu-repo/semantics/publishe

An energy efficient and trust aware framework for secure routing in leach for wireless sensor networks

Wireless Sensor Network (WSN) is an advanced technology and has been used widely in many applications such as health monitoring, environment monitoring, military purpose etc. Nature of this network is that they are often placed in an open environment and are susceptible to various attacks. Traditional cryptography methods are not supportable in WSNs as they have high energy and resource constraints. Trust management has been proved to be an effective measure to enhance security as well as to handle threats for WSNs. Trust can be defined as level of reliableness in a node. Low Energy Adaptive Clustering (LEACH) is a cluster based routing protocol for WSN which is superior to direct communication protocol and known for its minimum transmission energy. However, LEACH itself has some limitations related to security. In this paper, an energy efficient and trust aware framework for secure routing in LEACH (EETA-LEACH), has been proposed that improves LEACH protocol by introducing trust to provide secure routing, while maintaining originality of LEACH protocol. This approach is a combination of trust-based routing module and trust management module that works together to select trusted Cluster Head (CH). The simulation results demonstrate that proposed scheme is better in terms of network lifetime and Packet Delivery Ratio (PDR). It is verified that malicious nodes will not be selected as CH and trust value of a malicious node decreases with time.SCOPUS: ar.jinfo:eu-repo/semantics/publishe