An analytic performance model of disk arrays
SIGMETRICS '93 Proceedings of the 1993 ACM SIGMETRICS conference on Measurement and modeling of computer systems
The Design of Rijndael
An optimal memory allocation scheme for scratch-pad-based embedded systems
ACM Transactions on Embedded Computing Systems (TECS)
Watermarking, tamper-proffing, and obfuscation: tools for software protection
IEEE Transactions on Software Engineering
Scratchpad memory: design alternative for cache on-chip memory in embedded systems
Proceedings of the tenth international symposium on Hardware/software codesign
Software Protection: Security's Last Stand?
IEEE Security and Privacy
Compiler Managed Dynamic Instruction Placement in a Low-Power Code Cache
Proceedings of the international symposium on Code generation and optimization
An improved secure code encryption approach based on indexed table
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
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Software protection technology seeks to prevent unauthorized observation or use of applications. Cryptography can be used to provide such protection, but imposes a potentially significant additional computation load. This paper examines the performance impact of two software protection techniques. We develop an analytic model and validate it using a detailed discrete-event simulator applied to memory reference traces of well-known benchmark programs. We find that even though the added workload may be large, that impact is often dominated by inherent costs of disk activity.