Synergistic integration of code encryption and compression in embedded systems

Authors:
Kamran Rahmani;Hadi Hajimiri;Kartik Shrivastava;Prabhat Mishra
Affiliations:
University of Florida, Gainesville, FL, USA;University of Florida, Gainesville, FL, USA;University of Florida, Gainesville, FL, USA;University of Florida, Gainesville, FL, USA
Venue:
Proceedings of the great lakes symposium on VLSI
Year:
2012

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Abstract

Code encryption is a promising approach that encrypts the application binary to protect it from reverse engineering and tampering, and decrypts the instructions during runtime. A major challenge is to trade-off between the security level and runtime decryption overhead. In this paper, we explore a synergistic combination of various code compression algorithms with code encryption techniques to reduce this overhead. Since decryption overhead (time) is linearly dependent on code size, it is promising to employ compression to reduce code size, and thereby achieve the advantages of both compression and encryption. Experimental results demonstrate that our proposed scheme can employ efficient encryption techniques while significantly improve the performance up to 2.3X (1.5X on average) and reduce energy consumption up to 57% (26% on average), compared to using encryption alone.