Unleashing the Full Potential of Artificial Intelligence and Machine Learning in Cybersecurity Vulnerability Management

Elbes, Mohammed; Hendawi, Samar; AlZu'bi, Shadi; Kanan, Tarek; Mughaid, Ala

doi:10.1109/icit58056.2023.10225910

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…Their research highlights the capability of these technologies to process and analyze big data sets, which is crucial for identifying various types of cyberattacks and enhancing security measures. Elbes et al (2023) investigate the potential of AI and ML in cybersecurity, particularly in threat detection and vulnerability management. They present a case study on fake news prediction using ML algorithms, showcasing the effectiveness of these technologies in predicting and mitigating cyber threats.…”

Section: The Role Of Artificial Intelligence and Machine Learning In ...mentioning

confidence: 99%

A Review of Cybersecurity Strategies in Modern Organizations: Examining the Evolution and Effectiveness of Cybersecurity Measures for Data Protection

Temitayo Oluwaseun Abrahams,

Sarah Kuzankah Ewuga,

Samuel Onimisi Dawodu

et al. 2024

Comput. sci. IT res. j.

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In an era where digital threats are increasingly pervasive, understanding the evolution and efficacy of cybersecurity strategies in modern organizations is paramount. This study provides a comprehensive analysis of the dynamic landscape of cybersecurity, exploring its progression from traditional methods to innovative, technology-driven approaches. The digital age has ushered in complex cyber threats, necessitating robust cybersecurity measures. This study examines cybersecurity strategies' historical development, current trends, and future directions across different organizational contexts and industries. The primary aim is to assess the evolution and effectiveness of cybersecurity measures, identify existing gaps, and understand the interplay between human behavior, technology, and policy in cybersecurity. The paper encompasses a comprehensive methodological framework for cybersecurity analysis, exploring the effectiveness of traditional versus modern approaches, the role of AI and ML, and the impact of international policies. It also presents case studies to illustrate successes and failures in cybersecurity implementation. Key findings reveal a significant shift towards advanced technologies like AI and ML in cybersecurity, the critical role of human factors in shaping cybersecurity outcomes, and the influence of international policies in standardizing cybersecurity practices. The study concludes that effective cybersecurity strategies require a balanced approach, combining technological advancements with understanding human factors and adherence to international standards. Recommendations include continuous education and training, adopting holistic cybersecurity strategies, and aligning with international policies. Keywords: Cybersecurity, Artificial Intelligence, Machine Learning, International Policies, Human Factors, Cyber Threats.

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Section: The Role Of Artificial Intelligence and Machine Learning In ...mentioning

confidence: 99%

A Review of Cybersecurity Strategies in Modern Organizations: Examining the Evolution and Effectiveness of Cybersecurity Measures for Data Protection

Temitayo Oluwaseun Abrahams,

Sarah Kuzankah Ewuga,

Samuel Onimisi Dawodu

et al. 2024

Comput. sci. IT res. j.

View full text Add to dashboard Cite

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Cybersecurity Empirics: Evaluating Machine Learning Techniques for Phishing Detection

Hendawi,

Jararweh,

Zreqat

et al. 2023

2023 14th International Conference on Information and Communication Systems (ICICS)

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Future Trends and Emerging Threats in Drone Cybersecurity

Sindiramutty,

Jhanjhi,

Tan

et al. 2024

Advances in Information Security, Privacy, and Ethics

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The rapid proliferation of drone technology has ushered in a new era of innovation and convenience across various industries. However, this technological advancement has also given rise to a host of cybersecurity challenges that demand proactive attention. This chapter delves into the dynamic landscape of drone security, exploring the evolving trends and emerging threats that shape this field. Beginning with an overview of drone technology advancements, including the integration of artificial intelligence and machine learning, this chapter examines their implications for cybersecurity. It then scrutinizes the growing influence of drone swarms and autonomous operations, pinpointing the associated cybersecurity challenges and strategies for securing these systems. The chapter explores the expansion of drone operations beyond visual line of sight (BVLOS) and the cybersecurity risks involved, emphasizing the importance of secure communications and legal considerations.

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Unleashing the Full Potential of Artificial Intelligence and Machine Learning in Cybersecurity Vulnerability Management

Cited by 3 publications

References 23 publications

A Review of Cybersecurity Strategies in Modern Organizations: Examining the Evolution and Effectiveness of Cybersecurity Measures for Data Protection

A Review of Cybersecurity Strategies in Modern Organizations: Examining the Evolution and Effectiveness of Cybersecurity Measures for Data Protection

Cybersecurity Empirics: Evaluating Machine Learning Techniques for Phishing Detection

Future Trends and Emerging Threats in Drone Cybersecurity

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