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

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Qaisar, Muhammad Umar Farooq, Yuan, Weijie, Han, Guangjie, Ahmed, Adeel, Liu, Chang, Piran, Md. Jalil
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866909531757346816
author Qaisar, Muhammad Umar Farooq
Yuan, Weijie
Han, Guangjie
Ahmed, Adeel
Liu, Chang
Piran, Md. Jalil
author_facet Qaisar, Muhammad Umar Farooq
Yuan, Weijie
Han, Guangjie
Ahmed, Adeel
Liu, Chang
Piran, Md. Jalil
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2503_06164
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Integration of SDN and Digital Twin for the Intelligent Detection of DoC Attacks in WRSNs
Qaisar, Muhammad Umar Farooq
Yuan, Weijie
Han, Guangjie
Ahmed, Adeel
Liu, Chang
Piran, Md. Jalil
Networking and Internet Architecture
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.
title Integration of SDN and Digital Twin for the Intelligent Detection of DoC Attacks in WRSNs
topic Networking and Internet Architecture
url https://arxiv.org/abs/2503.06164