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Zero Trust Management Over Consumer Technology-Based IoT Edge Node for SDN Communication and Control of Cyber–Physical Systems

Haewon ByeonConvergence Department, Korea University of Technology and Education, Cheonan, South KoreaMahmood AlsaadiDepartment of Computer Sciences, College of Sciences, University of Al Maarif, Al Anbar, IraqSachin GuptaDepartment of CSE, Maharaja Agrasen Institute of Technology, New Delhi, IndiaJagdish Chandra PatniDepartment of CSE, Alliance School of Advance Computing, Alliance University, Bengaluru, IndiaTariq Ahamed AhangerDepartment of Management Information Systems, CoBA, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi ArabiaBrajesh Kumar SinghDepartment of Electronics and Communication Engineering, Galgotia College of Engineering and Technology, Greater Noida, IndiaAjeet Kumar SrivastavaDepartment of ECE, School of Engineering and Technology, Chhatrapati Shahu Ji Maharaj University, Kanpur, IndiaPardaeva Shakhnoza AbdinabievnaDepartment of Bank Accounting and Audit, Tashkent State University of Economics, Tashkent, UzbekistanSanthosh BoddupalliDepartment of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Hyderabad, India
ABI

Аннотация

In response to the lack of effective means for detecting and locating malicious exchange nodes in data flow transmission links within the Internet of Things (IoT), this paper proposes a zero-trust management method for data flow between edge nodes based on software defined networking (SDN) communication and control of cyber-physical systems (CPS). To detect and prevent anomalous behaviors like data tampering, forwarding path anomalies, and malicious packet drops through forwarding verification by exchange nodes, SDN-ZTM applies SDN to the data transmission process between IoT edge nodes. This approach applies the SDN architecture to the transmission process of data flows between edge nodes, utilizing a fixed-length header overhead for zero-trust management of data flows, nodes, and paths, thereby enabling lightweight packet forwarding verification and malicious exchange node localization. Simulation studies and theoretical research show that SDN-ZTM offers more extensive security features than similar methods. Additionally, SDN-ZTM is a lightweight, useful solution appropriate for IoT application scenarios since it introduces a fixed-length header and has a smaller performance overhead. Experimental results show that the method introduces less than 10% forwarding delay and less than 8% throughput loss.

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