Modular Security Engine Cyber-Physical Resiliency Approach Using Digital Replication

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.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3616269
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modular Security Engine Cyber-Physical Resiliency Approach Using Digital Replication

Samuel Pierre, Jean G. V. Etibou
IEEE Access
Smart Grid Security and Resilience
article

Modular Security Engine Cyber-Physical Resiliency Approach Using Digital Replication

Samuel Pierre, Jean G. V. Etibou
article en

Abstract

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.

IEEE AccessVol. 13
Polytechnique Montréal (CA)
Openalex Percentile: Top 66%
Smart Grid Security and Resilience
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Modular Security Engine Cyber-Physical Resiliency Approach Using Digital Replication — Samuel Pierre, Jean G. V. Etibou · IEEE Access (2025) | TGRS Research Map | TGRS