Advancements in Cybercrime Investigation and Digital Forensics

Presents advancements in cybercrime investigation and digital forensics, highlighting new tools to mitigate cyber-attacks and that extract digital evidence for forensic investigation to recover lost, purposefully deleted, or damaged files. Discusses tools such as AI, machine learning, data mining, and others for mitigation and investigation.

Vast manpower and resources are needed to investigate cybercrimes. The use of new advanced technologies, such as machine learning combined with automation, are effective in providing significant additional support in prevention of cyber-attacks, in the speedy recovery of data, and in reducing human error. This new volume offers a comprehensive study of the advances that have been made in cybercrime investigations and digital forensics, highlighting the most up-to-date tools that help to mitigate cyber-attacks and to extract digital evidence for forensic investigations to recover lost, purposefully deleted, or damaged files. The chapters look at technological cybersecurity tools such as artificial intelligence, machine learning, data mining, and others for mitigation and investigation.

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