Vijayalakshmi S. Artificial Intelligence for Cyber Defense...Smart Policing 2024 torrent

Textbook in PDF format

The future policing ought to cover identification of new assaults, disclosure of new ill-disposed patterns, and forecast of any future vindictive patterns from accessible authentic information. Such keen information will bring about building clever advanced proof handling frameworks that will help cops investigate violations. Artificial Intelligence for Cyber Defense and Smart Policing will describe the best way of practicing Artificial Intelligence for cyber defense and smart policing.
Salient Features
Combines AI for both cyber defense and smart policing in one place.
Covers novel strategies in future to help cybercrime examinations and police.
Discusses different AI models to fabricate more exact techniques.
Elaborates on problematization and international issues.
Includes case studies and real-life examples.
Organizations share information about cyber attacks as a crucial component of cyber threat intelligence, in order to enhance their understanding of potential threats and proactively safeguard their systems and networks. Cyber-attacks and defenses both rely heavily on Machine Learning, but neither of them achieve their goals when they rely on it completely. A malware sniffer can detect malware in encrypted traffic based on an analysis of encrypted traffic elements in network telemetry. The algorithms of Machine Learning uncover threats hidden in encryption, instead of decrypting them. Since Machine Learning can recognize patterns in massive datasets and predict threats automatically, it excels in this area. By automating their threat detection, cyber teams can identify threats more quickly and can isolate situations that need to be manually investigated. The emergence of Internet of Things (IoT) applications has greatly contributed to the surge in internet usage in recent years, particularly with the widespread adoption of IoT devices.
Contributors
Machine Learning in Cyber Threats Intelligent System
Cybercrimes in the Associated World
Recent Developments in Threat Intelligence and Challenges
AI in Forensics: A Data Analytics Perspective
Big Data for Intelligence and Security
Deep Learning Decision Support Model for Police Investigation
Big Data Paradigm in Cybercrime Investigation
Low-Cost High-Impact AI Tools vs Cybercrime
Computer-based (AI) Intelligence in the Field of Defence
Assembly of Cyber and Illegal Intimidation
Computer-based Intelligence and Security
Case Study: Artificial Intelligence and Machine Learning in Cybersecurity