Archives

  • Advances and Challenges in Artificial Intelligence and Cybersecurity
    Vol. 1 No. 2 (2025)

    The second issue of the International Journal of Artificial Intelligence and Cybersecurity delves into the transformative impact of artificial intelligence on the field of cybersecurity. This issue highlights the dual role of AI as both a powerful tool for securing digital systems and a potential enabler of sophisticated cyber threats. It explores cutting-edge research and innovative approaches that harness AI to address the complexities of modern cybersecurity challenges.

    This issue includes contributions that address:

    • AI-powered solutions for threat detection, malware analysis, and anomaly detection.
    • The use of machine learning algorithms in building predictive cybersecurity models.
    • AI in securing IoT devices and autonomous systems against cyber vulnerabilities.
    • Emerging threats posed by adversarial AI, such as deepfakes and AI-driven attacks.
    • Ethical and regulatory considerations for AI integration in cybersecurity frameworks.

    By bringing together a diverse range of perspectives from academia, industry, and government, this issue sets the stage for meaningful discussions and collaborations. It aims to provide readers with a comprehensive understanding of how AI is shaping the future of cybersecurity, addressing challenges, and paving the way for innovative solutions in a rapidly evolving digital ecosystem.

  • Advances and Challenges in Artificial Intelligence and Cybersecurity
    Vol. 1 No. 1 (2024)

    The first issue of the International Journal of Artificial Intelligence and Cybersecurity delves into the transformative impact of artificial intelligence on the field of cybersecurity. This issue highlights the dual role of AI as both a powerful tool for securing digital systems and a potential enabler of sophisticated cyber threats. It explores cutting-edge research and innovative approaches that harness AI to address the complexities of modern cybersecurity challenges.

    This issue includes contributions that address:

    • AI-powered solutions for threat detection, malware analysis, and anomaly detection.
    • The use of machine learning algorithms in building predictive cybersecurity models.
    • AI in securing IoT devices and autonomous systems against cyber vulnerabilities.
    • Emerging threats posed by adversarial AI, such as deepfakes and AI-driven attacks.
    • Ethical and regulatory considerations for AI integration in cybersecurity frameworks.

    By bringing together a diverse range of perspectives from academia, industry, and government, this issue sets the stage for meaningful discussions and collaborations. It aims to provide readers with a comprehensive understanding of how AI is shaping the future of cybersecurity, addressing challenges, and paving the way for innovative solutions in a rapidly evolving digital ecosystem.