Future challenges and benefits of AI in cyber forensics and cybercrime investigations

Artificial Intelligence (AI) is rapidly advancing and has significant potential across various fields, including Cyber and digital forensics. In this domain, AI can empower cybersecurity professionals and digital forensics investigators to collect and analyze evidence on a scale and with a precision that current non-AI technology and human efforts alone cannot achieve.

Cyber Investigators in the field of cyber forensics face also a number of challenges as a result of the overwhelming amount of digital data generated and stored is growing rapidly, making it difficult for forensic analysts to shift through and identify relevant evidence.

The use of artificial intelligence algorithms, tools, technologies and machine learning has enabled cyber forensics to investigate cyber-crimes quickly by analysing massive and heterogeneous datasets, analysing high complex of chain of custody, identifying patterns, and detecting digital artifacts anomalies that may go unnoticed by cyber analysts and cyber forensics.

Topics for this session:

1. What is Cyber Forensics and Cyber Forensic activities
2. Cyber Forensics Lab: Requirements & design.
3. Phases of Cyber Forensics Process
4. Using AI-enabled Digital forensics automation algorithms and digital forensics machine learning models to investigate Windows artifacts, tracking cyber activities and sift through massive datasets quickly, flagging potentially relevant evidence, recognize certain digital artifacts, such as images, text, or patterns of malicious activity.
5. Applications and challenges of Artificial Intelligence for Digital Forensics
6. Limitations of the application of Artificial Intelligence in digital forensics
7. Skills, Career, and Job Opportunities in Cyber Forensics field.

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