DocumentCode :
1523403
Title :
Cumulative Attestation Kernels for Embedded Systems
Author :
LeMay, Michael ; Gunter, Carl A.
Author_Institution :
Dept. of Comput. Sci., Siebel Center, Urbana, IL, USA
Volume :
3
Issue :
2
fYear :
2012
fDate :
6/1/2012 12:00:00 AM
Firstpage :
744
Lastpage :
760
Abstract :
To mitigate the threat of malware intrusions on networked embedded systems, it is desirable to provide remote attestation assurances for them. Embedded systems have special limitations concerning cost, power efficiency, computation, and memory that influence how this goal can be achieved. Moreover, many types of applications require integrity guarantees for the system over an interval of time rather than just at a given instant. We propose a Cumulative Attestation Kernel (CAK) that addresses these concerns. We demonstrate the value of CAKs for Advanced Metering Infrastructure (AMI) and show how to implement a CAK in less than one quarter of the memory available on low end flash MCUs similar to those used in AMI deployments. Regarding this prototype, we present the first formal proof we are aware of that a system is tolerant to power supply interruptions. We also discuss how to provide cumulative attestation for devices with tighter memory constraints by offloading computation and storage onto a Cumulative Attestation Coprocessor (CAC).
Keywords :
automatic meter reading; computerised instrumentation; coprocessors; data integrity; embedded systems; invasive software; operating system kernels; AMI deployment; advanced metering infrastructure; cumulative attestation coprocessor; cumulative attestation kernels; embedded system computation; embedded system cost; embedded system memory; embedded system power efficiency; flash MCU; malware intrusion threats; memory constraints; networked embedded systems; power supply interruption tolerance; remote attestation assurances; system integrity guarantees; Ash; Embedded systems; Kernel; Load management; Object oriented modeling; Power supplies; Random access memory; Intrusion detection; meter reading; power system security; smart grids;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2011.2174811
Filename :
6204240
Link To Document :
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