Abstract: Cyber threats and online fraud have become critical challenges in the digital era. Traditional security systems such as firewalls and signature-based methods are insufficient to counter increasingly sophisticated attacks including malware, phishing, ransomware, and fraudulent transactions in online shopping platforms. Artificial Intelligence (AI) and Machine Learning (ML) offer predictive, adaptive, and intelligent solutions capable of detecting cyber threats in real-time. This paper provides a comprehensive review of AI/ML techniques for cyber threat and fraud detection, explores their applications in online shopping platforms, discusses commonly used datasets and evaluation metrics, and highlights emerging trends and future directions for research.
Keywords: Cybersecurity, Fraud Detection, Artificial Intelligence, Machine Learning, Online Shopping, Anomaly Detection, Predictive Security.
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DOI:
10.17148/IJARCCE.2025.141122
[1] Chaitrali Shinde, Bhakti Nannaware, Sakshi Harnawal, Priyanka Gadhe, Mr. Jaybhay D. S, "Cyber Threat and Fraud Detection using AI/ML," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141122
