Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Dunsin, Dipo"'
Publikováno v:
The 11th IEEE International Conference on Social Networks Analysis, Management and Security (SNAMS-2024)
This Research proposes a Novel Reinforcement Learning (RL) model to optimise malware forensics investigation during cyber incident response. It aims to improve forensic investigation efficiency by reducing false negatives and adapting current practic
Externí odkaz:
http://arxiv.org/abs/2410.15028
This paper investigates the application of Deep Reinforcement Learning (DRL) for attributing malware to specific Advanced Persistent Threat (APT) groups through detailed behavioural analysis. By analysing over 3500 malware samples from 12 distinct AP
Externí odkaz:
http://arxiv.org/abs/2410.11463
This research focused on enhancing post-incident malware forensic investigation using reinforcement learning RL. We proposed an advanced MDP post incident malware forensics investigation model and framework to expedite post incident forensics. We the
Externí odkaz:
http://arxiv.org/abs/2408.01999
Publikováno v:
Forensic Science International: Digital Investigation, 2024
In the dynamic landscape of digital forensics, the integration of Artificial Intelligence (AI) and Machine Learning (ML) stands as a transformative technology, poised to amplify the efficiency and precision of digital forensics investigations. Howeve
Externí odkaz:
http://arxiv.org/abs/2309.07064
The use of the un-indexed web, commonly known as the deep web and dark web, to commit or facilitate criminal activity has drastically increased over the past decade. The dark web is an in-famously dangerous place where all kinds of criminal activitie
Externí odkaz:
http://arxiv.org/abs/2309.05537
Publikováno v:
JISCR 2023
Anti-forensics techniques particularly steganography and cryptography have become increasingly pressing issues that affect the current digital forensics practice. This paper advances the automation of hidden evidence extraction in the context of audi
Externí odkaz:
http://arxiv.org/abs/2307.07293
Publikováno v:
In Forensic Science International: Digital Investigation March 2024 48
Publikováno v:
International Conference on Digital Forensics and Security of Cloud Computing ICDFSCC
Digital investigators often have a hard time spotting evidence in digital information. It has become hard to determine which source of proof relates to a specific investigation. A growing concern is that the various processes, technology, and specifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::b8e9775bf4f6a09c70355a2bd6588492
https://repository.londonmet.ac.uk/7708/3/Australia_Dip_paper.pdf
https://repository.londonmet.ac.uk/7708/3/Australia_Dip_paper.pdf