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Modular Security Engine Cyber-Physical Resiliency Approach Using Digital Replication
Author(s) -
Jean G. V. Etibou,
Samuel Pierre
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3616269
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
In this paper, we propose an IoT device cyber physical resiliency approach using a cross-domain device replication that can replicate and securely transfer the profile of the Internet of Things (IoT) user device to another. Our approach aims to offer a cybersecurity abstraction layer to offer continuation of the security engine service when the IoT user device is facing interruption of services in case of IoT-centric solutions, including IoT Mobile payment, Smart city networks communication services, safety communications with integrated location-based services. In a world of cybersecurity where any IoT user devices are vulnerable to hackers, existing IoT devices require them to remain efficiently powered, connected to carry end-to-end secure transaction in an IoT environment without failure. To achieve our goal of resilience and recoverability, we upgraded the IoT modular security engine features with digital replication functions and secure profile transfer capabilities to effectively complete started transactions in situations where lacking sufficient power to transmit or in case of an abrupt connection loss due to network handovers. This leads to integration of IoT cross-environment optimal security enhancements into the existing Simple Public Key Infrastructure following the Pretty Good Privacy Web of Trust approach with Secure Device Profile and Data Processing. Moreover, our implementation succeeded in providing a service continuation on the replicated IoT device, preserving and offering a resilient secure capable environment for carrying secure transactions. The results show a communication success rate of 90 percent between all Security Engine components (DSM, CNSM, SFB) called modules on replicated IoT devices while improving the simulation running time to run two times longer (30 seconds) in each round of tests with 10 per cent faster response and recovery time of 7 seconds.

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