Artificial Intelligence and Security: Enhancing Cyber Defense Mechanisms

The rapid evolution of Artificial Intelligence (AI) has significantly impacted cybersecurity, offering both opportunities and challenges. While AI enhances threat detection, anomaly identification, and automated response systems, it also introduces new vulnerabilities, such as adversarial attacks and AI-powered cyber threats. This PhD thesis explores the intersection of AI and security, focusing on machine learning (ML) and deep learning (DL) techniques for cyber defense, the risks posed by malicious AI, and strategies to mitigate these threats. The research proposes novel AI-driven security frameworks, evaluates their effectiveness against emerging cyber threats, and discusses ethical considerations in AI-based security solutions.

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Publication Details

Journal
Oriental journal of computer science and technology
Published
2025-08-30
DOI
https://doi.org/10.13005/ojcst17.01.07
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence and Security: Enhancing Cyber Defense Mechanisms

Hideki Toya
Oriental journal of computer science and technology
Network Security and Intrusion Detection
article

Artificial Intelligence and Security: Enhancing Cyber Defense Mechanisms

Hideki Toya
article en

Abstract

The rapid evolution of Artificial Intelligence (AI) has significantly impacted cybersecurity, offering both opportunities and challenges. While AI enhances threat detection, anomaly identification, and automated response systems, it also introduces new vulnerabilities, such as adversarial attacks and AI-powered cyber threats. This PhD thesis explores the intersection of AI and security, focusing on machine learning (ML) and deep learning (DL) techniques for cyber defense, the risks posed by malicious AI, and strategies to mitigate these threats. The research proposes novel AI-driven security frameworks, evaluates their effectiveness against emerging cyber threats, and discusses ethical considerations in AI-based security solutions.

Oriental journal of computer science and technologyVol. 17(01)
Caleb University (NG)
Openalex Percentile: Top 73%
Network Security and Intrusion Detection
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