Automation of digital crime investigation using Reinforcement Learning (RL)
Current human-led Digital Investigation is reaching its limit, notably with the explosive increase in cybercrime. DFIR practitioners at law enforcement and corporate levels are facing severe challenges in coping with the demand. This talk will discuss the possible use of new Reinforcement Learning (...
| Main Author: | |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://repository.londonmet.ac.uk/9881/1/BCS%20Keynote%20RL%20in%20Cyber%20Forensics%2007%20February%202023.pdf |
| Summary: | Current human-led Digital Investigation is reaching its limit, notably with the explosive increase in cybercrime. DFIR practitioners at law enforcement and corporate levels are facing severe challenges in coping with the demand. This talk will discuss the possible use of new Reinforcement Learning (RL) approaches to automate and optimise some of the processes in DFIR practice and thus off-load experts and increase efficiency. |
|---|