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This book explores the growing global threat of cyber-attacks and cyber-crime, highlighting the financial and societal impacts they cause. It presents a novel approach to predicting and identifying cyber-attacks and their perpetrators by leveraging real-world data such as crime type, perpetrator gender, damage assessment, and attack methods. Drawing from victim-reported incidents and forensic investigations, the study utilizes two machine learning models to analyze cyber-crime patterns. The book also evaluates the effectiveness of different features in improving the accuracy of cyber-attack…mehr

Produktbeschreibung
This book explores the growing global threat of cyber-attacks and cyber-crime, highlighting the financial and societal impacts they cause. It presents a novel approach to predicting and identifying cyber-attacks and their perpetrators by leveraging real-world data such as crime type, perpetrator gender, damage assessment, and attack methods. Drawing from victim-reported incidents and forensic investigations, the study utilizes two machine learning models to analyze cyber-crime patterns. The book also evaluates the effectiveness of different features in improving the accuracy of cyber-attack detection and perpetrator identification, offering valuable insights into AI-driven cybersecurity solutions.
Autorenporträt
Ms. Amisha Jain, Assistant Professor in the Department of Computer Science & Engineering in Swami Vivekanand College of Engineering, Indore. She received B.tech (CSE) and M.Tech (CSE) Degree from Malwa Institute of Science & Technology (MIST), Indore. She has three years academic experience in Engineering College.