Cybercrime Mitigation: Analytical Approaches and Emerging AI-Based Defense Mechanisms
Keywords:
Cybersecurity, Cybercrime, Identity theft, Intrusion detection, Digital forensicsAbstract
This article highlights the growing threat of cybercrimes and emphasizes the need for a global response. As dependence on technology increases, so does the potential for cyber threats that affect individuals, organizations, and governments. Cybercrimes are categorized into five main types: against persons, property, government, denial-of-service attacks, and other miscellaneous crimes. Real-world examples help illustrate the significance of each category.
The article also explores key cybersecurity tools and strategies such as encryption, intrusion detection systems, and honeypots designed to mitigate these threats. Furthermore, it underlines the importance of protecting electronic evidence and emphasizes digital forensic investigations. A comparative review of relevant research studies is presented to assess varying cybersecurity approaches. The paper also addresses the dynamic and evolving nature of cyber threats, stressing the need for continuous adaptation in security protocols. It considers the growing role of artificial intelligence and machine learning in detecting and responding to cyberattacks more efficiently. Additionally, the importance of public awareness, education, and the development of international legal frameworks is discussed as part of a multi-layered defense strategy. Finally, the paper offers actionable recommendations for enhancing cybersecurity across different sectors.
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