Artificial Intelligence vulnerability prevention for closed-loop control system

Artificial intelligence has created much impact in so many scientific and engineering fields because of its ease, versatility and capability to be adopted to suit different applications. Concerns have arisen for online applications which can be exposed to cyber threats. The various benefits expected to be derived from online application of Artificial intelligence are so huge that these threats cannot be allowed to form a stumbling block to its utilization. Just like many technologies that may usually be faced with some initial challenges in its development and applications, priority should be on how to identify such possible cyber threats and then build up necessary cyber security measures to prevent these threats. It is in this wisdom that this research is focused to offer solutions that will accelerate its safe applications on closed-loop control systems environment. Prevention to AI based control loop vulnerability can be achieved by building strong security controls and zero trust procedures to prevent hackers, intruders, cyber-criminals and blind-cyber wanderers from penetrating into the system either internally or externally. With such protocols which is possible and achievable the objective of application of AI in online closed -loop control system is practicable and will improve the efficiency of the overall system.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17747468
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Artificial Intelligence vulnerability prevention for closed-loop control system

Zenodo (CERN European Organization for Nuclear Research)
Smart Grid Security and Resilience
article

Artificial Intelligence vulnerability prevention for closed-loop control system

article en

Abstract

Artificial intelligence has created much impact in so many scientific and engineering fields because of its ease, versatility and capability to be adopted to suit different applications. Concerns have arisen for online applications which can be exposed to cyber threats. The various benefits expected to be derived from online application of Artificial intelligence are so huge that these threats cannot be allowed to form a stumbling block to its utilization. Just like many technologies that may usually be faced with some initial challenges in its development and applications, priority should be on how to identify such possible cyber threats and then build up necessary cyber security measures to prevent these threats. It is in this wisdom that this research is focused to offer solutions that will accelerate its safe applications on closed-loop control systems environment. Prevention to AI based control loop vulnerability can be achieved by building strong security controls and zero trust procedures to prevent hackers, intruders, cyber-criminals and blind-cyber wanderers from penetrating into the system either internally or externally. With such protocols which is possible and achievable the objective of application of AI in online closed -loop control system is practicable and will improve the efficiency of the overall system.

Zenodo (CERN European Organization for Nuclear Research)
Akwa Ibom State University (NG), Federal University of Technology (NG), Nnamdi Azikiwe University (NG)
Peace, Justice and strong institutions
Openalex Percentile: Top 41%
Smart Grid Security and Resilience
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