On the feasibility of using evolvable hardware for hardware Trojan detection and prevention

Labafniya, Mansoureh; Picek, Stjepan; Borujeni, Shahram Etemadi; Mentens, Nele

doi:10.1016/j.asoc.2020.106247

Cited by 8 publications

(1 citation statement)

References 10 publications

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“…However, relevant research in this area is still in the exploratory stage. Labafniya, M et al proposed a mechanism to mitigate HT for VRC implemented on field-programmable gate arrays (FPGAs) [18]. The circuits are autonomously and periodically reconfigured to eliminate the impact of HT on the circuit.…”

Section: Hardware Trojansmentioning

confidence: 99%

Towards Trust Hardware Deployment of Edge Computing: Mitigation of Hardware Trojans Based on Evolvable Hardware

Wang

Huang

et al. 2022

Applied Sciences

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Hardware Trojans (HTs) are malicious hardware components designed to leak confidential information or cause the chip/circuit on which they are integrated to malfunction during operation. When we deploy such hardware platforms for edge computing, FPGA-based implementations of Coarse-Grained Reconfigurable Array (CGRA) are also currently falling victim to HT insertion. However, for CGRA, an evolvable hardware (EHW) platform, which has the ability to dynamically change its configuration and behavioral characteristics based on inputs from the environment, provides us with a new way to mitigate HT attacks. In this regard, we investigate the feasibility of using EHW to mitigate HTs that disrupt normal functionality in CGRA in this paper. When it is determined that HT is inserted into certain processing elements (PEs), the array autonomously reconfigures the circuit structure based on an evolutionary algorithm (EA) to avoid the use of HT-infected (HT-I) PEs. We show that the proposed approach is applicable to: (1) hardware platforms that support coarse-grained reconfiguration; and (2) pure combinatorial circuits. In a simulation environment built in Python, this paper reports experimental results for two target evolutionary circuits and outlines the effectiveness of the proposed method.

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Section: Hardware Trojansmentioning

confidence: 99%