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On the Optimal Lawful Intercept Access Points Placement Problem in Hybrid Software-Defined Networks
Xiaosa Xu1, Wen-Kang Jia1, Yi Wu1
1Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China.
Sensors (Basel, Switzerland)
|January 13, 2021
Summary
This study optimizes lawful interception in hybrid networks using software-defined networking (SDN). It proposes new algorithms to efficiently deploy intercept access points (IAPs) for better network coverage and reduced costs.
Area of Science:
- Computer Science
- Network Security
- Telecommunications
Background:
- Lawful interception is crucial for law enforcement but costly in traditional networks.
- Centralized management in traditional networks presents high implementation costs.
- Existing solutions lack efficiency in hybrid network environments.
Purpose of the Study:
- To leverage software-defined networking (SDN) for intelligent lawful interception.
- To optimize the deployment of intercept access points (IAPs) in hybrid SDN environments.
- To reduce the operational costs and enhance the efficiency of lawful interception.
Main Methods:
- Proposed an improved equal-cost multi-path shortest path algorithm.
- Introduced three SDN interception models: T, ECMP-T, and Fermat-point.
- Developed a restrictive minimum vertex cover algorithm (RMVCA) for hybrid SDN.
Main Results:
- Optimized the deployment of IAPs in hybrid SDN topologies.
- Achieved efficient lawful interception using minimal SDN nodes.
- Significantly improved IAP deployment efficiency and intercept link coverage.
Conclusions:
- SDN technology offers a cost-effective and efficient solution for lawful interception in hybrid networks.
- The proposed RMVCA algorithm enables optimal IAP placement.
- This research contributes to the advancement of intelligent lawful interception techniques.
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