Enhancing Wireless Network Security with Adaptive Sampling and Deep Learning-Based Intrusion Detection System
Authors:
Dr. G. N. V. Vibhav Reddy , K. Kalyan, K. Varun , P. Nikhil, K. Deepthi
Page No: 693-702
Abstract:
Wireless networks have become a prominent target for cyberattacks due to their growing dependence in recent years. Intrusion detection systems (IDS) play a crucial role in identifying and mitigating such attacks. Conventional intrusion detection systems (IDS) have certain limitations. However, by utilizing modern techniques such as deep learning and synthetic data generation, the effectiveness of intrusion detection can be improved
Description:
.
Volume & Issue
Volume-13,ISSUE-5
Keywords
.