Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion Detection

Ayush Kumar Sharma, Sourav Patel, Supriya Bharat Wakchaure, Abirami S
9/27/2024
cs.CRcs.AIcs.CV

No official code found. Best implementation: pingayush/INTELLIGUARD-Enhancing-Network-Security (4 stars, MIT, last commit 2024-09-30).

Abstract

Network Intrusion Detection Systems (NIDS) are essential for protecting computer networks from malicious activities, including Denial of Service (DoS), Probing, User-to-Root (U2R), and Remote-to-Local (R2L) attacks. Without effective NIDS, networks are vulnerable to significant security breaches and data loss. Machine learning techniques provide a promising approach to enhance NIDS by automating threat detection and improving accuracy. In this research, we propose an Enhanced Convolutional Neural Network (EnCNN) for NIDS and evaluate its performance using the KDDCUP'99 dataset. Our methodology includes comprehensive data preprocessing, exploratory data analysis (EDA), and feature engineering. We compare EnCNN with various machine learning algorithms, including Logistic Regression, Decision Trees, Support Vector Machines (SVM), and ensemble methods like Random Forest, AdaBoost, and Voting Ensemble. The results show that EnCNN significantly improves detection accuracy, with a notable 10% increase over state-of-art approaches. This demonstrates the effectiveness of EnCNN in real-time network intrusion detection, offering a robust solution for identifying and mitigating security threats, and enhancing overall network resilience.

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Code Implementations(1)

pingayush/INTELLIGUARD-Enhancing-Network-SecurityCommunity100%
MIT

Created a Network Intrusion Detection System using Machine Learning on the KDDCUP'99 dataset, achieving 94% accuracy with Enhanced SVM and CNN also designed a website to visualize detection results, by utilizing React, Tailwind CSS, and Flask. (First run the Backend Server on local system then use the Link ).

41CSS, HTMLAug 21, 20242 years agoMIT

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Cite this paper

@article{sharma2024enhanced,
  title  = {Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion Detection},
  author = {Ayush Kumar Sharma and Sourav Patel and Supriya Bharat Wakchaure and Abirami S},
  year   = {2024},
  eprint = {2409.18642},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2409.18642v1}
}

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