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Poster: a measurement framework to quantify software protections

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Abstract
Programs often run under strict usage conditions (e.g., license restrictions) that could be broken in case of code tampering. Possible attacks include malicious reverse engineering, tampering using static, dynamic and hybrid techniques, on standard devices as well as in labs with additional special purpose hardware equipment. ASPIRE (http://www.aspire-fp7.eu) is a European FP7 research project devoted to the elaboration of novel techniques to mitigate and prevent attacks to code integrity, to code/data confidentiality and to code lifting. This paper presents the ongoing activity to define a set of metrics aimed at quantifying the effect on code of the ASPIRE protections. The metrics have been conceived based on a measurement framework, which prescribes the identification of the relevant code features to consider and of their relationships with attacks and protections

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Citation

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MLA
Tonella, Paolo, Mariano Ceccato, Bjorn De Sutter, et al. “Poster: a Measurement Framework to Quantify Software Protections.” ACM Conference on Computer and Communications Security 2014, Proceedings. Ed. Gail-Joon Ahn, Moti Yung, & Ningui Li. ACM, 2014. 1505–1507. Print.
APA
Tonella, P., Ceccato, M., De Sutter, B., & Coppens, B. (2014). Poster: a measurement framework to quantify software protections. In G.-J. Ahn, M. Yung, & N. Li (Eds.), ACM Conference on Computer and Communications Security 2014, Proceedings (pp. 1505–1507). Presented at the ACM Conference on Computer and Communications Security 2014, ACM.
Chicago author-date
Tonella, Paolo, Mariano Ceccato, Bjorn De Sutter, and Bart Coppens. 2014. “Poster: a Measurement Framework to Quantify Software Protections.” In ACM Conference on Computer and Communications Security 2014, Proceedings, ed. Gail-Joon Ahn, Moti Yung, and Ningui Li, 1505–1507. ACM.
Chicago author-date (all authors)
Tonella, Paolo, Mariano Ceccato, Bjorn De Sutter, and Bart Coppens. 2014. “Poster: a Measurement Framework to Quantify Software Protections.” In ACM Conference on Computer and Communications Security 2014, Proceedings, ed. Gail-Joon Ahn, Moti Yung, and Ningui Li, 1505–1507. ACM.
Vancouver
1.
Tonella P, Ceccato M, De Sutter B, Coppens B. Poster: a measurement framework to quantify software protections. In: Ahn G-J, Yung M, Li N, editors. ACM Conference on Computer and Communications Security 2014, Proceedings. ACM; 2014. p. 1505–7.
IEEE
[1]
P. Tonella, M. Ceccato, B. De Sutter, and B. Coppens, “Poster: a measurement framework to quantify software protections,” in ACM Conference on Computer and Communications Security 2014, Proceedings, Scottdale, AZ, USA, 2014, pp. 1505–1507.
@inproceedings{6847794,
  abstract     = {{Programs often run under strict usage conditions (e.g., license restrictions) that could be broken in case of code tampering.  Possible attacks include malicious reverse engineering, tampering using static, dynamic and hybrid techniques, on standard devices as well as in labs with additional special purpose hardware equipment. ASPIRE (http://www.aspire-fp7.eu) is a European FP7 research project devoted to the elaboration of novel techniques to mitigate and prevent attacks to code integrity, to code/data confidentiality and to code lifting.  This paper presents the ongoing activity to define a set of metrics aimed at quantifying the effect on code of the ASPIRE protections.  The metrics have been conceived based on a measurement framework, which prescribes the identification of the relevant code features to consider and of their relationships with attacks and protections}},
  author       = {{Tonella, Paolo and Ceccato, Mariano and De Sutter, Bjorn and Coppens, Bart}},
  booktitle    = {{ACM Conference on Computer and Communications Security 2014, Proceedings}},
  editor       = {{Ahn, Gail-Joon and Yung, Moti and Li, Ningui}},
  isbn         = {{9781450329576}},
  language     = {{eng}},
  location     = {{Scottdale, AZ, USA}},
  pages        = {{1505--1507}},
  publisher    = {{ACM}},
  title        = {{Poster: a measurement framework to quantify software protections}},
  url          = {{http://dx.doi.org/10.1145/2660267.2662360}},
  year         = {{2014}},
}

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