The rapid evolution of cyberspace has significantly transformed the landscape of cybersecurity, with threats progressing from basic malware to complex, state-sponsored attacks and zero-day exploits. This review explores the historical development of cyber threats. It examines modern defensive strategies, highlighting the shift from traditional, signature-based methods to advanced, multi-layered approaches incorporating artificial intelligence (AI), machine learning (ML), and collaborative threat intelligence. While these innovations have improved detection and response capabilities, persistent challenges such as technological limitations, human vulnerabilities, and regulatory disparities continue to impact cybersecurity effectiveness. The paper also outlines key future research directions, including developing explainable AI, real-time adaptive security frameworks, and quantum-resistant cryptography. Addressing these areas is essential for creating a comprehensive and resilient cybersecurity ecosystem that can withstand evolving threats.
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Durgaraju et al. (2025) studied this question.
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