Authors :
Shubham R. Dhembare; Dr. Sharad W. Mohod
Volume/Issue :
Volume 7 - 2022, Issue 11 - November
Google Scholar :
https://bit.ly/3IIfn9N
DOI :
https://doi.org/10.5281/zenodo.7435133
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.
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.
