NDLI: FAME: Fault-attack Aware Microprocessor Extensions for Hardware Fault Detection and Software Fault Response

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FAME: Fault-attack Aware Microprocessor Extensions for Hardware Fault Detection and Software Fault Response

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FAME: Fault-attack Aware Microprocessor Extensions for Hardware Fault Detection and Software Fault Response

Content Provider	ACM Digital Library
Author	Ghalaty, Nahid F. Deshpande, Chinmay Patrick, Conor Nazhandali, Leyla Yuce, Bilgiday Schaumont, Patrick
Abstract	Fault attacks are a known serious threat to embedded software security. We propose FAME, a low-cost and flexible approach to defend embedded software against fault attacks. FAME offers a combination of fault detection in hardware and fault response in software. A hardware fault detection unit continuously monitors the system status. When a fault injection is detected, an alarm signal triggers a secure trap mechanism that passes the control to a software trap handler. The trap handler applies a suitable fault response policy, which may include a broad variety of responses such as clearing sensitive data or issuing system-wide alerts. This enables a targeted, fast fault detection as well as an application-dependent, user-defined fault response. FAME requires much lower overhead than traditional countermeasure techniques in software or hardware. We demonstrate a prototype implementation of FAME using a modified LEON3 processor, and we analyze the hardware and software overhead to thwart setup-time violation attacks. The hardware area overhead is 7.4% and 14.2% in the number of LUTs and registers, respectively. The overhead of the software trap handler on top of an AES-128 program is 0.59%--0.71% in footprint and 1.01%--2.35% in performance, depending on the security policy. In contrast, traditional countermeasures that use redundant hardware or software against similar faults have at least double overhead.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781450347693
DOI	10.1145/2948618.2948626
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-06-18
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Embedded software security Fault-attack aware microprocessor extensions
Content Type	Text
Resource Type	Article

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