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Research & Innovation
Newsletter
Volume 1 l Issue 1 - 2023
The integration of artificial intelligence (AI) and the Internet of Things (IoT) in the
power generation and distribution industry presents both opportunities and
challenges, particularly in the realm of cybersecurity. Previous studies have
explored the potential of AI to enhance cybersecurity in power systems, but
limited sample sizes and scopes have hindered a comprehensive understanding
of the current state of the field. To bridge this gap, this paper conducts a
systematic literature review of 30 papers, categorizing and analyzing relevant
research based on their focus on threats, solutions, and future trends.
The findings of the review indicate that the 30 articles provide substantial
evidence supporting the use of AI and machine learning techniques to
significantly enhance cybersecurity in the power sector. However, the study
also emphasizes the need for continuous monitoring, threat intelligence, and
risk management to proactively address evolving threats. The paper also offers
novel insights into the use of cybersecurity measures, blockchain technology,
and awareness of the impact of AI in the power sector.
The review of 30 articles underscores the rapidly changing landscape in the
power sector, where AI and cybersecurity are increasingly vital. Power sector
organizations are becoming more cognizant of the potential benefits of AI and
cybersecurity, as well as the associated risks and challenges. Many
organizations in the power sector are either exploring or have already
implemented AI in their operations, with a focus on threat detection and
mitigation, risk assessment, and decision-making. Staying up-to-date on
emerging trends and developments in AI and cybersecurity is essential for
organizations to ensure the safety of power systems and the protection of
critical infrastructure. Ongoing research and collaboration between
organizations and stakeholders are crucial to maximize the benefits of AI and
cybersecurity while minimizing risks and challenges.
Staying Ahead of Threats:
A Review of AI and Cyber Security
in Power Generation and Distribution
Page 4
Full article published in: International Journal of Electrical and Electronics Research (IJEER)
Volume 11, Issue 1 | pp. 143-147 | e-ISSN: 2347-470X
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Dr. Nachaat Mohamed
Adel Oubelaid
Saif khameis Almazrouei
Assistant Professor -
HLS Applied Researcher,
Homeland Security Program,
Rabdan Academy