The Role of Artificial Intelligence in Predicting and Preventing Cyber Attacks
DOI:
https://doi.org/10.5281/zenodo.12786734ARK:
https://n2t.net/ark:/40704/JIEAS.v2n4a05Keywords:
Artificial intelligence (AI), Cybersecurity, Machine Learning, Deep Learning, Natural Language Processing (NLP), Threat Detection, Predictive Analytics, Automated Response, Explainable AI (XAI), Blockchain integration, Quantum Computing, Data Privacy, Adversarial Attacks, Anomaly Detection, Phishing Detection, Malware Detection, Network Security, Predictive Capabilities, Cyber Threats, AI-Based Cybersecurity SolutionsAbstract
The rapid advancement of technology has brought about significant benefits but also considerable risks, particularly in the realm of cybersecurity. With the increasing complexity and frequency of cyber attacks, traditional security measures are becoming less effective. Artificial Intelligence (AI) has emerged as a promising solution to enhance the prediction and prevention of cyber attacks. This paper explores the role of AI in cybersecurity, focusing on its methodologies, effectiveness, challenges, and future directions. Specifically, we investigate various AI techniques such as machine learning, deep learning, and natural language processing, examining their application in threat detection, predictive analytics, and automated responses. Through comprehensive analysis and case studies, we demonstrate how AI can transform cybersecurity practices, offering robust solutions to modern cyber threats.
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