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Conference Aug 2026

A Context-Aware NLP Model for Automated Spam Message Identification

Spam communications remain a persistent cybersecurity threat, consuming network bandwidth, reducing productivity, and delivering malicious content such as phishing links and malware. Traditional rule-based and keyword-centric filtering methods struggle against modern spam that employs contextual manipulation and obfusc...

D. A, K. M, Tarun M et al. · 0 citations
Conference Aug 2026

A Multi-Perspective Dual-Stream Framework Integrating Transformers and Graph Neural Networks for E-Commerce Opinion Fraud Detection

Online word-of-mouth significantly shapes consumer purchasing decisions in the digital marketplace. However, malicious actors exploit this trust by deploying coordinated fake review campaigns that artificially inflate or deflate product popularity. Traditional detection approaches primarily analyze textual content in i...

Manju Sadasivan, D. A, Shinty P. K. et al. · 0 citations

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