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pro vyhledávání: '"Liebowitz, A."'
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 honeyfiles so they are camouflaged when placed amongst real files in a f
Externí odkaz:
http://arxiv.org/abs/2405.04758
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 illusion of the presence of valuable data. Interaction with a honeyfi
Externí odkaz:
http://arxiv.org/abs/2404.04854
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. Current deep learning techniques to address multiple-output problems
Externí odkaz:
http://arxiv.org/abs/2312.11735
Colour controlled image generation and manipulation are of interest to artists and graphic designers. Vector Quantised Variational AutoEncoders (VQ-VAEs) with autoregressive (AR) prior are able to produce high quality images, but lack an explicit rep
Externí odkaz:
http://arxiv.org/abs/2305.18769
Autor:
Liebowitz, David, Nepal, Surya, Moore, Kristen, Christopher, Cody J., Kanhere, Salil S., Nguyen, David, Timmer, Roelien C., Longland, Michael, Rathakumar, Keerth
Publikováno v:
2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), 2021, pp. 173-182
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 factors limiting the use of deception has been the cost of generating realis
Externí odkaz:
http://arxiv.org/abs/2208.07127
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 property of a honeyfile, enticement, is the extent to which the file
Externí odkaz:
http://arxiv.org/abs/2203.07580
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 releasing them openly may lead to the leakage of confidential information. D
Externí odkaz:
http://arxiv.org/abs/2203.06793
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 of privacy and security, so schemata are not available for study. Con
Externí odkaz:
http://arxiv.org/abs/2111.12835
Publikováno v:
2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P)
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 generation of realistic content at scale is very costly, due to the fact
Externí odkaz:
http://arxiv.org/abs/2111.11932
Publikováno v:
In Journal of Public Economics June 2024 234
