DocumentCode :
651872
Title :
Program Counter as an Integrated Circuit Metrics for Secured Program Identification
Author :
Appiah, Kofi ; Xiaojun Zhai ; Ehsan, S. ; Cheung, Wah M. ; Huosheng Hu ; Dongbing Gu ; McDonald-Maier, K. ; Howells, Gareth
Author_Institution :
Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
fYear :
2013
fDate :
9-11 Sept. 2013
Firstpage :
98
Lastpage :
101
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.
Keywords :
electronic engineering computing; feature extraction; integrated circuit measurement; program diagnostics; security of data; vector quantisation; feature extraction; hardware device; integrated circuit metrics; k-means algorithm; malicious exploitation; measurable property; program counter values; program execution; secured program identification; system behaviour; tampering exploitation; vector quantization; Feature extraction; Hardware; Neurons; Radiation detectors; Software; Training; Vectors; ICmetrics; Program Counter; Program Identification; SOM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Security Technologies (EST), 2013 Fourth International Conference on
Conference_Location :
Cambridge
Type :
conf
DOI :
10.1109/EST.2013.23
Filename :
6680196
Link To Document :
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