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SACT: A New Model of Covert Communication Based on SDN
Leyi Shi1,2, Yuxiao Song1, Zhiyu Xue1
1College of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China.
This study introduces a new Software Defined Network-based Anonymous Communication Tracking (SACT) model. SACT enhances anonymous tracking by integrating network watermarking, improving scalability and anti-detection capabilities for covert communication.
Area of Science:
- Computer Science
- Network Security
- Information Theory
Background:
- Traditional anonymous tracking faces limitations in scalability and reusability due to device deployment in network watermarking.
- Software Defined Networking (SDN) offers enhanced flexibility through control and data plane separation, presenting opportunities for improved tracking mechanisms.
Purpose of the Study:
- To propose a novel anonymous communication tracking model, SDN-based Anonymous Communication Tracking (SACT), leveraging SDN architecture.
- To enhance the anti-detection capabilities and overall effectiveness of anonymous tracking in network environments.
Main Methods:
- Integration of network watermarking techniques within an SDN framework.
- Combination of IP time hidden channel and symbol expansion technologies for covert communication.
- Implementation of a hopping protection mechanism to bolster watermark security against detection.
Main Results:
- SACT demonstrated excellent detection rates and low bit error rates across various simulated network environments.
- The model effectively established communication relationships between parties.
- SACT successfully addressed the deployment challenges inherent in traditional anonymous tracking systems.
Conclusions:
- SACT provides a scalable and reusable solution for anonymous communication tracking within SDN architectures.
- The proposed model significantly improves the availability and anti-detection capabilities of covert communication.
- SACT offers a robust method for determining communication relationships while maintaining anonymity.
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