Intrusion Detection Using Soft Computing Techniques in VANETs

In this paper, a wide literature review of soft computing techniques in intrusion detection in V ANETs is carried out. The soft computing techniques used by different researchers for carrying out intrusion detection in vehicular networks are examined thoroughly. Summary of different approaches used in intrusion detection are thoroughly discussed. The study will focus on the techniques implemented by researchers in literature for developing the intrusion detection framework using soft computing approaches including, deep learning methods, artificial neural networks, fuzzy logic, and other machine learning methods. The paper also provides the performance analysis as well as the limitations for the reviewed works.