Artificial Intelligence in Cybersecurity: Opportunities and Challenges

Almahdi Mosbah Almahdi Ejreaw; Najiya B Annowari


This paper explores the intricate relationship between Artificial Intelligence (AI) and cybersecurity, shedding light on the opportunities it presents and its challenges. AI techniques such as Machine Learning (ML) and Deep Learning (DL) have shown significant potential in various cybersecurity areas, including intrusion detection, phishing detection, and malware classification. These advancements offer opportunities for more effective and proactive cyber defence mechanisms. However, integrating AI into cybersecurity also comes with significant challenges, including data quality and availability, adversarial attacks, privacy and ethical concerns, over-reliance on AI, and the interpretability of AI models. This paper discusses these aspects, providing a comprehensive overview of the current state of AI in cybersecurity. Furthermore, it outlines the future perspectives in the field, highlighting the need for robust, explainable, and privacy-preserving AI models, collaborative AI systems, and exploring the intersection of AI and quantum computing. The aim is to foster a broader understanding of the potential of AI in cybersecurity while acknowledging and addressing the challenges that come with it.

FULL TEXT PDF 1-6] DOI: 10.30566/ijo-bs/2023.06.111

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