Improving Transition Probability for Detecting Hardware Trojan Using Weighted Random Patterns

Kshirod Mohapatra; M. Priyatharishini; M. Nirmala Devi

Ubiquitous Communications and Network Computing. Second EAI International Conference, Bangalore, India, February 8–10, 2019, Proceedings

Research Article

Improving Transition Probability for Detecting Hardware Trojan Using Weighted Random Patterns

Download

79 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-030-20615-4_16,
    author={Kshirod Mohapatra and M. Priyatharishini and M. Nirmala Devi},
    title={Improving Transition Probability for Detecting Hardware Trojan Using Weighted Random Patterns},
    proceedings={Ubiquitous Communications and Network Computing. Second EAI International Conference, Bangalore, India, February 8--10, 2019, Proceedings},
    proceedings_a={UBICNET},
    year={2019},
    month={5},
    keywords={Transition probability Hardware Trojan Weighted random patterns},
    doi={10.1007/978-3-030-20615-4_16}
}

Kshirod Mohapatra
M. Priyatharishini
M. Nirmala Devi
Year: 2019
Improving Transition Probability for Detecting Hardware Trojan Using Weighted Random Patterns
UBICNET
Springer
DOI: 10.1007/978-3-030-20615-4_16

Kshirod Mohapatra¹^,*, M. Priyatharishini¹^,*, M. Nirmala Devi¹^,*

1: Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham

*Contact email: kshirod_00066@yahoo.co.in, m_priyatharishini@cb.amrita.edu, m_nirmala@cb.amrita.edu

Abstract

Computer system security has related to security of software or the information processed. The underlying hardware used for information processing has considered to as trusted. The emerging attacks from Hardware Trojans (HTs) violate this root of trust. The attacks are in the form of malicious modification of electronic hardware at different stages; possess major security concern in the electronic industries. An adversary can mount HT in a net of the circuit, which has low transition probability. In this paper, the improvement of the transition probability by using test points and weighted random patterns is proposed. The improvement in the transition probability can accelerate the detection of HTs. This paper implements weighted random number generator techniques to improve the transition probability. This technique is evaluated on ISCAS 85’ benchmark circuit using PYTHON and SYNOPSYS TETRAMAX tool.

Keywords: Transition probability Hardware Trojan Weighted random patterns

Published: 2019-05-16
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-20615-4_16