An IP Traceback Scheme Integrating DPM and PPM 1st edition by Fan Min, Jun yan Zhang, Guo wie Yang ISBN 3540202080 9783540202080

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ISBN 10:       3540202080
ISBN 13: 978-3540202080
Author:         Fan Min, Jun-yan Zhang, Guo-wie Yang
 

An IP Traceback Scheme Integrating DPM and PPM 1st Table of contents:

1. Introduction

   • 1.1 Motivation for IP Traceback
   • 1.2 Challenges in Network Security and Attack Identification
   • 1.3 Overview of DPM and PPM Techniques
   • 1.4 Contributions of the Paper
   • 1.5 Structure of the Paper

2. Related Work

   • 2.1 Overview of IP Traceback Techniques
   • 2.2 Deterministic Packet Marking (DPM)
   • 2.3 Probabilistic Packet Marking (PPM)
   • 2.4 Comparison of DPM and PPM in IP Traceback
   • 2.5 Existing Hybrid Traceback Approaches
   • 2.6 Limitations of Current Methods

3. Preliminaries

   • 3.1 Fundamentals of IP Traceback
   • 3.2 Network Attacks and the Need for Traceback
   • 3.3 DPM: Concept, Advantages, and Limitations
   • 3.4 PPM: Concept, Advantages, and Limitations
   • 3.5 Overview of Hybrid Traceback Techniques

4. Hybrid IP Traceback Scheme

   • 4.1 Combining DPM and PPM for Efficient Traceback
   • 4.2 Design Goals for the Hybrid Scheme
   • 4.3 Packet Marking Scheme: DPM vs. PPM Integration
   • 4.4 Traceback Process Flow and Packet Propagation
   • 4.5 Hybrid Scheme Architecture and Components

5. Detailed Algorithm Design

   • 5.1 DPM and PPM Marking Strategies
   • 5.2 Data Structures for Storing Marking Information
   • 5.3 Traceback Data Collection and Processing
   • 5.4 Integration of DPM and PPM Marking in a Single Traceback Scheme
   • 5.5 Handling False Positives and Marking Overheads

6. Security and Performance Analysis

   • 6.1 Security Considerations in the Hybrid Traceback Scheme
   • 6.2 Protection Against Attacks and Evasion Techniques
   • 6.3 Performance Metrics: Accuracy, Overhead, and Scalability
   • 6.4 Evaluation of Computational and Communication Costs
   • 6.5 Effectiveness in Traceback Accuracy and Delay Reduction
   • 6.6 Trade-offs Between DPM and PPM in Different Network Environments

7. Experimental Setup and Evaluation

   • 7.1 Simulation and Network Setup for Testing
   • 7.2 Testbed Configuration: Topology and Traffic Scenarios
   • 7.3 Evaluation Criteria: Detection Rate, False Positives, and Latency
   • 7.4 Comparison with Existing Traceback Methods
   • 7.5 Experimental Results and Analysis
   • 7.6 Scalability and Real-Time Implementation Feasibility

8. Results and Discussion

   • 8.1 Quantitative Evaluation of Hybrid IP Traceback Scheme
   • 8.2 Sensitivity to Network Conditions (e.g., traffic volume, network topology)
   • 8.3 Impact of DPM and PPM Integration on Traceback Efficiency
   • 8.4 Evaluation of False Positives and Traceback Accuracy
   • 8.5 Practical Challenges and Limitations in Real-World Deployments

9. Applications and Use Cases

   • 9.1 Application in Denial-of-Service (DoS) and Distributed DoS (DDoS) Attacks
   • 9.2 Protection of Critical Infrastructure Networks
   • 9.3 Real-Time Network Monitoring and Attack Mitigation
   • 9.4 Use in Forensics and Legal Applications
   • 9.5 Integration with Intrusion Detection and Prevention Systems (IDPS)

10. Challenges and Future Directions

• 10.1 Scalability of the Hybrid Traceback Scheme in Large Networks
• 10.2 Addressing Evasion Techniques in Packet Marking
• 10.3 Incorporating Machine Learning for Enhanced Attack Detection
• 10.4 Adaptive Marking Schemes Based on Network Topology and Traffic Patterns
• 10.5 Future Research Directions in Hybrid Traceback Systems

11. Conclusion

• 11.1 Summary of Key Contributions
• 11.2 Impact of Hybrid DPM and PPM Scheme on IP Traceback Efficiency
• 11.3 Final Remarks and Outlook for Future Research

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