Cyber Forensics

Cyber forensics aims to analyze digital evidence to investigate cybercrimes and security breaches, focusing on efficient data analysis and reliable interpretation of findings. Current research emphasizes improving the speed and accuracy of investigations through data-driven decision support systems, often employing machine learning algorithms like Markov decision processes and k-NN regression to prioritize investigative leads. This field is crucial for effective cybersecurity response and legal proceedings, with advancements in explainable AI (XAI) striving to enhance transparency and build trust in automated forensic tools.