Program Counter as an Integrated Circuit Metrics for Secured Program Identification
Program Counter as an Integrated Circuit Metrics for Secured Program Identification
Integrated Circuit Metrics is mainly concerned with the extraction of measurable properties or features of a given hardware device, capable of uniquely identifying the system's behaviour. This paper presents features that can be extracted from software executing on a device and identify the very software in execution. The main contribution of this paper is in two folds. The ability to extract features whiles the software is in execution as well as correctly identifying the software to divulge any tampering or malicious exploitation. Our aim is to use program counter values generated during program execution to train a k-means algorithm optimized for vector quantization, and later use the system to associate program counter values with an application.
Program Counter, SOM, Program Identification, ICmetrics
Appiah, Kofi
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Zhai, Xiaojun
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Ehsan, Shoaib
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Cheung, Wah M.
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Hu, Huosheng
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Gu, Dongbing
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McDonald-Maier, Klaus
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Howells, Gareth
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2013
Appiah, Kofi
6ef3f47c-2bcd-4951-8d29-ad7c01261ff4
Zhai, Xiaojun
93ee3dbb-e10e-472b-adec-78acfcd4cbc7
Ehsan, Shoaib
ae8922f0-dbe0-4b22-8474-98e84d852de7
Cheung, Wah M.
61de920f-5730-4b44-9cf1-5400f00ef43d
Hu, Huosheng
031bebd3-b026-4c30-8426-4995bed830db
Gu, Dongbing
ecd480a1-07cd-4083-b8f6-48c0cffcce9f
McDonald-Maier, Klaus
4429a771-384b-4cc6-8d45-1813c3792939
Howells, Gareth
ad936021-6246-46d3-ad6a-1daac809b7f6
Appiah, Kofi, Zhai, Xiaojun, Ehsan, Shoaib, Cheung, Wah M., Hu, Huosheng, Gu, Dongbing, McDonald-Maier, Klaus and Howells, Gareth
(2013)
Program Counter as an Integrated Circuit Metrics for Secured Program Identification.
In Proceedings 2013 Fourth International Conference on Emerging Security Technologies.
IEEE..
(doi:10.1109/EST.2013.23).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Integrated Circuit Metrics is mainly concerned with the extraction of measurable properties or features of a given hardware device, capable of uniquely identifying the system's behaviour. This paper presents features that can be extracted from software executing on a device and identify the very software in execution. The main contribution of this paper is in two folds. The ability to extract features whiles the software is in execution as well as correctly identifying the software to divulge any tampering or malicious exploitation. Our aim is to use program counter values generated during program execution to train a k-means algorithm optimized for vector quantization, and later use the system to associate program counter values with an application.
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More information
Published date: 2013
Venue - Dates:
Fourth international conference on emerging security technologies, , Cambridge, United Kingdom, 2013-09-09 - 2013-09-11
Keywords:
Program Counter, SOM, Program Identification, ICmetrics
Identifiers
Local EPrints ID: 478883
URI: http://eprints.soton.ac.uk/id/eprint/478883
PURE UUID: 70af75e3-4808-4815-a849-1f0b698f7809
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Date deposited: 12 Jul 2023 16:38
Last modified: 17 Mar 2024 04:16
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Contributors
Author:
Kofi Appiah
Author:
Xiaojun Zhai
Author:
Shoaib Ehsan
Author:
Wah M. Cheung
Author:
Huosheng Hu
Author:
Dongbing Gu
Author:
Klaus McDonald-Maier
Author:
Gareth Howells
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