FIFA: Exploring a Focally Induced Fault Attack Strategy in Near-Threshold Computing
| Autor: | Chidhambaranathan Rajamanikkam, Trevor Carter, Prabal Basu, Koushik Chakraborty, Sanghamitra Roy, Pramesh Pandey, Aatreyi Bal |
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| Přispěvatelé: | Institute of Electrical and Electronics Engineers |
| Rok vydání: | 2017 |
| Předmět: |
General Computer Science
Computer science Distributed computing 02 engineering and technology computer.software_genre Fault (power engineering) 01 natural sciences Malware Trustworthy computing Engineering Computer security Low-power electronics 0103 physical sciences Machine learning system-on-chip 0202 electrical engineering electronic engineering information engineering Sensitivity (control systems) 010302 applied physics Fault attack Circuit faults fault diagnosis Electrical and Computer Engineering 020202 computer hardware & architecture Near threshold Control and Systems Engineering Threat model computer |
| Zdroj: | Electrical and Computer Engineering Faculty Publications |
| Popis: | In this letter, we explore the emerging security threats of near-threshold computing (NTC). Researchers have shown that the delay sensitivity of a circuit to supply voltage variation tremendously increases, as the circuit’s operating conditions shift from traditional super-threshold values to NTC values. As a result, NTC systems become extremely vulnerable to timing fault attacks, jeopardizing trustworthy computing. Inspired by the operation of a polymorphic virus, we propose a novel threat model for NTC, referred to as a focally induced fault attack (FIFA). FIFA employs a machine learning framework to ascertain the circuit vulnerabilities and generates targeted software modules to cause a breach of end-user privacy. Our experimental results, obtained from a rigorous machine learning approach, indicate the efficacy of FIFA, in a low-power mobile platform. |
| Databáze: | OpenAIRE |
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