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:

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Volume & Issue

Volume-13,ISSUE-5

Keywords

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