专题:Spam and Phishing Detection

This cluster of papers focuses on the detection and prevention of phishing attacks, including techniques such as spam detection, machine learning, bot detection, review spam analysis, URL filtering, and defense against Sybil attacks in social networks. The research also explores behavioral analysis for identifying suspicious activities and emphasizes the importance of security education in mitigating phishing threats.
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A survey on sentiment analysis methods, applications, and challenges

article Full Text OpenAlex 1377 FWCI176.7812

Cyberfraud in the Nigerian Banking Sector: The Techniques and Preventive Measures

article Full Text OpenAlex 739 FWCI634.1041

Fake news, disinformation and misinformation in social media: a review

review Full Text OpenAlex 647 FWCI362.4706

MLCM: Multi-Label Confusion Matrix

article Full Text OpenAlex 393 FWCI50.5498

The disaster of misinformation: a review of research in social media

review Full Text OpenAlex 310 FWCI110.9324

Cross-modal Ambiguity Learning for Multimodal Fake News Detection

article Full Text OpenAlex 301 FWCI80.71

Fake news detection based on news content and social contexts: a transformer-based approach

article Full Text OpenAlex 264 FWCI99.3609

A systematic review of hate speech automatic detection using natural language processing

review Full Text OpenAlex 249 FWCI40.8545

Anomaly Detection in Blockchain Networks: A Comprehensive Survey

article Full Text OpenAlex 239 FWCI32.0859

Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives

article Full Text OpenAlex 238 FWCI45.1593