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Modelling The Impact Of Code Obfuscation On Energy Usage

Publication Type : Conference Proceedings

Thematic Areas : Amrita Center for Cybersecurity Systems and Networks

Publisher : CEUR Workshop Proceedings, CEUR-WS,

Source : CEUR Workshop Proceedings, CEUR-WS, Volume 1819 (2017)

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Keywords : Adaptive systems, Code obfuscation, Codes (symbols), Communication technologies, Data mining, Diverse domains, Economic and social effects, Embedded device, Energy security, Energy utilization, Industrial automation, Lightweight securities, Security performance, Software engineering, Tampering attacks

Campus : Amritapuri

School : Centre for Cybersecurity Systems and Networks, School of Engineering

Center : Cyber Security

Department : cyber Security

Year : 2017

Abstract : Advancements in computing and communication technologies have given rise to low-cost embedded devices with applications in diverse domains such as Smarthome, industrial automation, healthcare, transportation etc. These devices are power-constrained which emphasizes the need for lightweight security solutions. Code obfuscation has been demonstrated to provide time-limited protection of source code from inference or tampering attacks. However, size of the obfuscated code increases with increase in code size which can have a negative impact on energy consumption. In particular, different transformations of the source code result in varying amounts of energy consumption for embedded devices. In this work, we model the impact of algorithms for code obfuscation on energy usage for embedded devices and analyze the energy-security-performance trade-offs. The insights from our analysis can be used to develop techniques depending on the needs of the applications thus facilitating efficient energy usage. Copyright ©2017 for the individual papers by the papers' authors.

Cite this Research Publication : A. Raj, Jithish, J., and Sankaran, S., “Modelling The Impact Of Code Obfuscation On Energy Usage”, CEUR Workshop Proceedings, vol. 1819. CEUR-WS, 2017.

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