Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
Computers and Operations Research
Battery power-aware encryption
ACM Transactions on Information and System Security (TISSEC)
Introduction to Algorithms, Third Edition
Introduction to Algorithms, Third Edition
The energy cost of SSL in deeply embedded systems
The energy cost of SSL in deeply embedded systems
A Systematic Survey of Self-Protecting Software Systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special Section on Best Papers from SEAMS 2012
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One of the most important challenges that need to be currently faced in securing resource-constrained embedded systems is optimizing the trade-off between resources used (energy consumption and computational capabilities required) and security requirements for cryptographic algorithms: any adopted security solutions should guarantee an adequate level of protection, yet respecting constraints on computational resources and consumed power. In this paper a generic, efficient, and energy-aware mechanism to determine a correct trade off between security requirements and resources consumed is proposed. The solution proposed relies on Analytic Hierarchy Process (AHP) to define priorities among different requirements and to compare different security solutions. A knapsack problem is formulated to select the most relevant algorithms based on their utility and on available resources.