Abstract
A vehicular ad hoc network (VANET), a subfield of mobile adhoc network (MANET) is defined by its high mobility by demonstrating the dissimilar mobility patterns. So, VANET clustering techniques are needed with the consideration of the mobility parameters amongst the nearby nodes for constructing the stable clustering techniques. At the same time, security is also a major design issue in VANET, this can be resolved by the intrusion detection systems (IDS). In contrast to the conventional IDS, VANET based IDS are required to be designed in such a way that the functioning of the system does not affect the real-time efficiency of the performance of VANET applications. With this motivation, this paper presents an efficient Fuzzy Logic based Clustering with optimal fuzzy support vector machine (FSVM), called FLC-OFSVM based on the Intrusion Detection System for VANET. The proposed FLC-OFSVM model involves two stages of operations namely clustering and intrusion detections. Primarily, FLC technique is employed for selecting an appropriate set of cluster heads (CHs) and for constructing the clusters. Besides, a lightweight anomaly IDS model named FSVM optimized with krill herd (KH) optimization algorithm is developed for detecting the existence of malevolent attacks in VANET. The KH algorithm based on the herding behavior of krills is used for optimally tuning the parameters of the FSVM model. In order to investigate the performance of the FLC-OFSVM model, an extensive set of simulations have been carried out and the results thus showcased that the OFSVM model has gained maximum outcome with an accuracy of 99.98%.
Highlights
Vehicle ad hoc networks (VANET) were developed as a part of the mobile ad hoc network (MANET) [1]application
This paper presents an efficient Fuzzy Logic based Clustering with optimal fuzzy support vector machine (FSVM), called FLC-OFSVM based on the Intrusion Detection System for vehicular ad hoc network (VANET)
This paper has presented an effective FLC-OFSVM model for achieving security and effective communication in VANET
Summary
Vehicle ad hoc networks (VANET) were developed as a part of the mobile ad hoc network (MANET) [1]. This current data transmission type suffers from several drawbacks such as the requirement of huge amount of Road Side Units (RSU) at standard location in V2I data transmission that aren’t financially possible, security and privacy problems in V2V based data transmissions [2], the clustering data transmission type is chosen as it offers several benefits on above three data transmission types [3] This method portrays a congested traffic scenario that increases the load on the cluster head (CH), this causes delay in the data transmission process and affects the network performances. Because of the dynamic topology and the decentralized structure of VANET, the safety of the vehicles, clients, and data have become the most significant factors as the detection of faulty nodes/malicious/user becomes complex [7] Those that are different from the conventional Intrusion Detection Systems (IDS) such as the VANET based IDS should be placed with care in this manner as the process shouldn’t delay the real-time. For examining the outcomes of the FLC-OFSVM model, a comprehensive set of experimental analysis have been performed and the results have been inspected in-terms of various defined aspects
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