Cybercrime intention recognition: A systematic literature review

YW Kassa, JI James, EG Belay - Information, 2024 - mdpi.com
In this systematic literature review, we delve into the realm of intention recognition within the
context of digital forensics and cybercrime. The rise of cybercrime has become a major …

{ChainReactor}: Automated Privilege Escalation Chain Discovery via {AI} Planning

G De Pasquale, I Grishchenko, R Iesari… - 33rd USENIX Security …, 2024 - usenix.org
Current academic vulnerability research predominantly focuses on identifying individual
bugs and exploits in programs and systems. However, this goes against the growing trend of …

Goal recognition as a deep learning task: the GRNet approach

M Chiari, AE Gerevini, F Percassi, L Putelli… - Proceedings of the …, 2023 - ojs.aaai.org
Recognising the goal of an agent from a trace of observations is an important task with many
applications. The state-of-the-art approach to goal recognition (GR) relies on the application …

Goal recognition as reinforcement learning

L Amado, R Mirsky, F Meneguzzi - … of the AAAI Conference on Artificial …, 2022 - ojs.aaai.org
Most approaches for goal recognition rely on specifications of the possible dynamics of the
actor in the environment when pursuing a goal. These specifications suffer from two key …

ATHAFI: Agile threat hunting and forensic investigation

R Puzis, P Zilberman, Y Elovici - arxiv preprint arxiv:2003.03663, 2020 - arxiv.org
Attackers rapidly change their attacks to evade detection. Even the most sophisticated
Intrusion Detection Systems that are based on artificial intelligence and advanced data …

An Automatic Planning‐Based Attack Path Discovery Approach from IT to OT Networks

Z Wang, Y Zhang, Z Liu, X Wei… - Security and …, 2021 - Wiley Online Library
With the convergence of IT and OT networks, more opportunities can be found to destroy
physical processes by cyberattacks. Discovering attack paths plays a vital role in describing …

Cyclic Action Graphs for goal recognition problems with inaccurately initialised fluents

H Harman, P Simoens - Knowledge and Information Systems, 2024 - Springer
Goal recognisers attempt to infer an agent's intentions from a sequence of observed actions.
This is an important component of intelligent systems that aim to assist or thwart actors; …

[PDF][PDF] Intention Recognition for Digital Forensics: A Formal Model

YW Kassa, JI James, EG Belay - 2025 - preprints.org
The rapid advancement of technology has been matched by a significant rise in cybercrime,
posing substantial challenges for digital forensics investigators who must handle …

[PDF][PDF] Goal Recognition with Deep Learning and Embedded Representation of State Traces.

M Chiari, AE Gerevini, L Putelli, I Serina - IPS-RCRA-SPIRIT@ AI* IA, 2023 - ceur-ws.org
The identification of the goal that an agent is going to achieve is an important task with
several applications in robotics and security. Despite several approaches on Goal …

Deep Learning Approaches to Goal Recognition

M Chiari - 2024 - iris.unibs.it
Recognising the goal of an agent from a trace of observations is an important task with many
applications. In the literature, many approaches to goal recognition (GR) rely on the …