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Cybercrime intention recognition: A systematic literature review
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 …
context of digital forensics and cybercrime. The rise of cybercrime has become a major …
{ChainReactor}: Automated Privilege Escalation Chain Discovery via {AI} Planning
Current academic vulnerability research predominantly focuses on identifying individual
bugs and exploits in programs and systems. However, this goes against the growing trend of …
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
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 …
applications. The state-of-the-art approach to goal recognition (GR) relies on the application …
Goal recognition as reinforcement learning
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 …
actor in the environment when pursuing a goal. These specifications suffer from two key …
ATHAFI: Agile threat hunting and forensic investigation
Attackers rapidly change their attacks to evade detection. Even the most sophisticated
Intrusion Detection Systems that are based on artificial intelligence and advanced data …
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 …
physical processes by cyberattacks. Discovering attack paths plays a vital role in describing …
Cyclic Action Graphs for goal recognition problems with inaccurately initialised fluents
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; …
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
The rapid advancement of technology has been matched by a significant rise in cybercrime,
posing substantial challenges for digital forensics investigators who must handle …
posing substantial challenges for digital forensics investigators who must handle …
[PDF][PDF] Goal Recognition with Deep Learning and Embedded Representation of State Traces.
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 …
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 …
applications. In the literature, many approaches to goal recognition (GR) rely on the …