Enhancing the Resilience of Cyber-Physical Systems Through Energy-Efficient Communication in Wireless Sensor Networks

Shakir Mehdiyev — Mon, 06 Jan 2025 00:00:00 +0000

This paper explores the multifaceted challenges of fault tolerance seen in cyber-physical systems (CPS), with particular emphasis on the critical role of wireless sensor networks (WSNs) in the collection and transmission of data essential for CPS operations. Special attention is given to the examination of the energy efficiency of WSNs and their influence on the overall fault tolerance of CPS. The study highlights the enhancement of node performance from energy efficient solutions and uptime with simultaneous introduction of new vulnerabilities to cyberattacks that compromise the resilience and security of WSNs. Key attack vectors, such as energy depletion and control packet manipulation, are identified and analyzed. The paper underscores the importance of establishing trust relationships between nodes and advocates for comprehensive protection strategies encompassing preventive, operational, and post incident measures. It emphasizes the "defense in depth" approach and discusses the concept of cyber immunity as a promising strategy for strengthening WSN cybersecurity. Future research directions include integration of artificial intelligence, leveraging of blockchain technologies, exploration of quantum computing applications, and development of proactive measures for mitigation of emerging cyber threats.

IDEA-6G: Revolutionizing 6G Networks with Integrated Digital Twin and Self-Healing Mechanisms

Anil Audumbar Pise, Yogesh Khandokar — Tue, 07 Jan 2025 00:00:00 +0000

6G network is an innovative concept of connectivity, which offers unparalleled speeds, ultralow latency, and extensive device connectivity that surpass the capabilities of the current 5G networks. However, challenges such as network congestion and security threats pose significant hurdles to ensuring reliable and stable network performance. A novel Integrated Digital twin and self-healing mechanisms for 6G networks (IDEA-6G) approach has been proposed for addressing these challenges and for the security and performance of the 6G network. The proposed method leverages the Digital Twin (DT) sub-layer to bridge the physical and digital worlds, enabling real-time synchronization and monitoring of network assets. Meticulous feature extraction using Term Frequency - Inverse Document Frequency (TF-IDF) techniques and the innovative Generative Adversarial Networks and Long Short-Term Memory (GAN-LSTM) model have helped the approach in the enhancement of security monitoring capabilities and efficient detection of cyber-attacks within virtual models. Additionally, Deep Neural Networks (DNNs) facilitate informed decision-making for effective self-healing actions in response to identified threats. The effectiveness of the proposed IDEA-6G is compared with the existing B5GEMINI, DTFV, and DITEN techniques. Results of the proposed IDEA-6G technique indicate superior performance prediction accuracy, detection rates, load balancing, and service delay reduction. The detection of the proposed IDEA-6G technique is 17.55%, 27.54%, and 7.38% higher than the existing B5GEMINI, DTFV, and DITEN techniques respectively.

Journal of High-Frequency Communication Technologies

Enhancing the Resilience of Cyber-Physical Systems Through Energy-Efficient Communication in Wireless Sensor Networks

IDEA-6G: Revolutionizing 6G Networks with Integrated Digital Twin and Self-Healing Mechanisms