activity
20212024
most citedDeception for Cyber Defence: Challenges and Opportunities

12 citations · 17 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CR2024

Honeyfile Camouflage: Hiding Fake Files in Plain Sight

Roelien C. Timmer, David Liebowitz, Surya Nepal +1

Honeyfiles are a particularly useful type of honeypot: fake files deployed to detect and infer information from malicious behaviour. This paper considers the challenge of naming ho…

cs.LG2024

Contextual Chart Generation for Cyber Deception

David D. Nguyen, David Liebowitz, Surya Nepal +2

Honeyfiles are security assets designed to attract and detect intruders on compromised systems. Honeyfiles are a type of honeypot that mimic real, sensitive documents, creating the…

cs.LG2023★ 1 cited

Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions

David D. Nguyen, David Liebowitz, Surya Nepal +1

In many real-world applications, from robotics to pedestrian trajectory prediction, there is a need to predict multiple real-valued outputs to represent several potential scenarios…

cs.CV2023

DualVAE: Controlling Colours of Generated and Real Images

Keerth Rathakumar, David Liebowitz, Christian Walder +2

Colour controlled image generation and manipulation are of interest to artists and graphic designers. Vector Quantised Variational AutoEncoders (VQ-VAEs) with autoregressive (AR) p…

cs.CR2022★ 12 cited

Deception for Cyber Defence: Challenges and Opportunities

David Liebowitz, Surya Nepal, Kristen Moore +6

Deception is rapidly growing as an important tool for cyber defence, complementing existing perimeter security measures to rapidly detect breaches and data theft. One of the factor…

cs.CL2022

TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing

Roelien C. Timmer, David Liebowitz, Surya Nepal +1

Honeyfile deployment is a useful breach detection method in cyber deception that can also inform defenders about the intent and interests of intruders and malicious insiders. A key…

cs.CL2022

Can pre-trained Transformers be used in detecting complex sensitive sentences? -- A Monsanto case study

Roelien C. Timmer, David Liebowitz, Surya Nepal +1

Each and every organisation releases information in a variety of forms ranging from annual reports to legal proceedings. Such documents may contain sensitive information and releas…

cs.DB2021★ 1 cited

SchemaDB: Structures in Relational Datasets

Cody James Christopher, Kristen Moore, David Liebowitz

In this paper we introduce the SchemaDB data-set; a collection of relational database schemata in both sql and graph formats. Databases are not commonly shared publicly for reasons…

cs.CR2021★ 3 cited

Modelling Direct Messaging Networks with Multiple Recipients for Cyber Deception

Kristen Moore, Cody J. Christopher, David Liebowitz +2

Cyber deception is emerging as a promising approach to defending networks and systems against attackers and data thieves. However, despite being relatively cheap to deploy, the gen…