Deep convolutional neural network based real-time abnormal behavior detection in social networks

Dinesh Mavaluru,Azath Mubarakali,Bayapa Reddy Narapureddy,Jayabrabu Ramakrishnan,Rajan John, Nadana Ravishankar, P. Karthika

Computers and Electrical Engineering（2023）

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摘要

•Enhances social media safety by promptly identifying and halting malicious user activities.•Uses profile analysis, one-time passwords, and cookies for thorough user verification.•Utilizes Convolutional Neural Networks to accurately process and analyze vast user data.•Achieves a standout 99.9% detection accuracy, surpassing other renowned detection methodologies.•Assesses varied user groups, ensuring comprehensive malicious activity detection across platforms.

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关键词

Real-time abnormal behaviors,Online social networks,Convolutional Neural Networks (CNN),Dynamic user activities,Classification accuracy

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