Publication Date: 2022/12/14
Abstract: Over the past few years, the field of intrusion detection in wireless networks has become more important. Insecure features in some wireless networks make the victims vulnerable to that attacks so any action can take time to implement. And another is that, as new techniques are evolving today, by making progress in the field of hacking, attackers will make every effort to infiltrate the system. Therefore, it is important to constantly monitor the system and detect suspicious behavior. So at such times, the intrusion detection system works to monitor the data, suspicious intrusions, and respond appropriately. In this perspective, this article presents a survey on previous studies of intrusion detection in wireless networks.
Keywords: Intrusion Detection, NSL-KDD, DDoS, Deep Learning, Vehicular Communication, IDS, VANET, SVM.
DOI: https://doi.org/10.5281/zenodo.7435133
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22NOV402.pdf
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