A Rapid and Intelligent Statistical Mechanism for the Network Intrusion Detection System (NIDS) using ANN |
Author(s): |
| Harshit Kandhwey , SRM Institute of Science And Technology, Ramapuram; Rutvik Mangrole, SRM Institute of Science And Technology, Ramapuram; Sakshi, SRM Institute of Science And Technology, Ramapuram |
Keywords: |
| Intelligent Statistical Mechanism, Network Intrusion Detection System (NIDS), Artificial Neural Network (ANN) |
Abstract |
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As computer networks become increasingly essential to daily life, the importance of their security is becoming more and more evident. Unfortunately, attackers are constantly designing new intrusion attacks, making it essential to be able to detect intrusions even with limited labeled data. To address this issue, we have developed an intrusion detection system based on a deep neural network using self-supervised contrastive learning. This approach allows us to use a vast amount of unlabeled data to create informative representations that can be used for various tasks, even with a limited amount of labeled data. Our paper proposes a deep learning architecture that employs a fully connected feed-forward Artificial Neural Network (ANN) for accurate intrusion detection prediction. We trained and evaluated the feed-forward ANN model using potential features. |
Other Details |
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Paper ID: IJSRDV11I30128 Published in: Volume : 11, Issue : 3 Publication Date: 01/06/2023 Page(s): 176-184 |
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