Automation of digital crime investigation using Reinforcement Learning (RL)

Hosted by the Cyber Security & Networking Research Group, Anglia Ruskin University, OWASP (Open Web Application Security Project) Cambridge Chapter, & BCS Cybercrime Forensics SG

Background

The BCS – Chartered Institute for IT - Cybercrime Forensics Special Interest Group (SG) promotes Cybercrime Forensics and the use of Cybercrime Forensics; of relevance to computing professionals, lawyers, law enforcement officers, academics and those interested in the use of Cybercrime Forensics and the need to address cybercrime for the benefit of those groups and of the wider public.

OWASP (Open Web Application Security Project is a 501(c)(3) not-for-profit worldwide charitable organization focused on improving the security of application software. Their mission is to make application security visible, so that people and organizations can make informed decisions about true application security risks.

The Cyber Security and Networking (CSN) Research Group at Anglia Ruskin University has close working strategic relationships with industry, professional bodies, law enforcement, government agencies and academia in the delivery of operationally focused applied information and application security research. We have strong international links with professional organisations such as OWASP, BCS, ISC2, IISP & the UK Cyber Security Forum amongst others. The primary aims of CSNRG are to help the UK and partner nations to tackle cybercrime, be more resilient to cyber attacks and educate its users for a more secure cyberspace and operational business environment. These will be achieved through the investigation of threats posed to information systems and understanding the impact of attacks and creation of cyber-based warning systems which gathering threat intelligence, automate threat detection, alert users and neutralising attacks. For network security we are researching securing the next generation of software defined infrastructures from the application API and control/data plane attacks. Other key work includes Computer forensic analysis, digital evidence crime scenes and evidence visualisation as well as Cyber educational approaches such as developing Capture the Flag (CTF) resources and application security programs.

Abstract : “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 (RL) approaches to automate and optimise some of the processes in DFIR practice and thus off-load experts and increase efficiency.
Provisional Agenda
16:45 - Webinar waiting lobby opens
17:00 - Start of Presentation
17:50 – Questions & Answers