Intrusion Detection: A New Approach for Network Monitoring

Title: Intrusion Detection: A New Approach for Network Monitoring

Abstract: This research explores a novel approach for network monitoring and intrusion detection. The study focuses on the analysis of information flow on networks, using methods from mathematical and theoretical physics. The authors propose a method for describing network behavior in terms of numerical time-dependent functions of protocol parameters. This approach allows for the application of advanced mathematical techniques to network analysis and intrusion detection. The research suggests that this method can provide valuable insights into network behavior and help identify potential intrusions.

Main Research Question: How can methods from mathematical and theoretical physics be applied to improve network monitoring and intrusion detection?

Methodology: The study uses a combination of theoretical analysis and practical implementation. First, the authors develop a method for describing network behavior in terms of numerical time-dependent functions of protocol parameters. This method allows for the analysis of complete network information or a chosen fraction of it. The authors then propose algorithms for intrusion detection based on this method. To test the effectiveness of their approach, they apply it to real-world network data.

Results: The research shows that the proposed method can effectively describe network behavior and identify patterns of typical network activity. The algorithms for intrusion detection based on this method have been successfully implemented and tested. The results suggest that this approach can provide valuable insights into network behavior and help identify potential intrusions.

Implications: The research has several implications for the field of network security. First, it provides a new method for analyzing network behavior and identifying potential intrusions. Second, it demonstrates the potential of applying methods from mathematical and theoretical physics to network analysis and security. Finally, it suggests that this approach can be further developed and refined to improve network security and monitoring.

Link to Article: https://arxiv.org/abs/0110019v1 Authors: arXiv ID: 0110019v1