Integration of SDN and Digital Twin for the Intelligent Detection of DoC Attacks in WRSNs

2025-03-08

AI Summary

Wireless Rechargeable Sensor Networks (WRSNs) are vulnerable to Denial-of-Charging (DoC) attacks, yet existing charging scheduling and optimization approaches largely ignore security risks. Method: This paper proposes a synergistic defense framework integrating Software-Defined Networking (SDN) and Digital Twin (DT) technologies. It uniquely combines SDN’s centralized control with DT’s real-time cyber-physical mirroring to establish a four-dimensional dynamic detection metric system—based on charging request patterns, energy consumption profiles, behavioral reputation, and charging efficiency—and integrates multi-dimensional behavioral analysis with anomaly detection algorithms. Contribution/Results: Experiments demonstrate that the framework significantly improves attack detection rate and sensor node survival ratio, enhances energy utilization efficiency, and reduces charger mobility distance. Validated under realistic deployment scenarios, it exhibits both effectiveness and robustness against DoC attacks.

Technology Category

• Application Domains: Internet of Things, Sensor Networks & Smart Cities
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Distributed Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Security and Privacy: Cyber-crime defenses and forensics
• Responsible Web: Data and user privacy-enhancing technologies for the Web

Abstract

Wireless rechargeable sensor networks (WRSNs), supported by recent advancements in wireless power transfer (WPT) technology, hold significant potential for extending network lifetime. However, traditional approaches often prioritize scheduling algorithms and network optimization, overlooking the security risks associated with the charging process, which exposes the network to potential attacks. This paper addresses this gap by integrating Software-Defined Networking (SDN) and Digital Twin technologies for the intelligent detection of Denial of Charging (DoC) attacks in WRSNs. First, it leverages the flexibility and intelligent control of SDN, in combination with Digital Twin, to enhance real-time detection and mitigation of DoC attacks. Second, it employs four key metrics to detect such attacks including charging request patterns, energy consumption, behavioral and reputation scores, and charging behavior and efficiency. The numerical results demonstrate the superior performance of the proposed protocol in terms of energy usage efficiency, survival rate, detection rate, and travel distance.

Problem

• Detects Denial of Charging attacks in WRSNs
• Integrates SDN and Digital Twin for intelligent detection
• Uses metrics like energy consumption and charging patterns

Innovation

• Integrates SDN and Digital Twin for DoC attack detection
• Uses four metrics: charging patterns, energy, behavior, reputation
• Enhances real-time detection and mitigation in WRSNs