Anand Raghunathan

TL;DR: This paper proposes logic complexity reduction at the transistor level as an alternative approach to take advantage of the relaxation of numerical accuracy, and demonstrates the utility of these approximate adders in two digital signal processing architectures with specific quality constraints.

TL;DR: An introduction to the challenges involved in secure embedded system design is provided, recent advances in addressing them are discussed, and opportunities for future research are identified.

TL;DR: This work analysis and characterization of inherent application resilience present in a suite of 12 widely used applications from the domains of recognition, data mining, and search and proposes a systematic framework for Application Resilience Characterization (ARC), which characterizes the resilient parts using approximation models that abstract a wide range of approximate computing techniques.

TL;DR: This paper attempts to provide a unified and holistic view of embedded system security by first analyzing the typical functional security requirements for embedded systems from an end-user perspective and identifying the implied challenges for embedded system architects, as well as hardware and software designers.

TL;DR: In this article, the authors present a comprehensive analysis of the energy requirements of a wide range of cryptographic algorithms that form the building blocks of security mechanisms such as security protocols, and investigate the impact of various parameters at protocol level (such as cipher suites, authentication mechanisms, and transaction sizes, etc.) and the cryptographic algorithm level (cipher modes, strength) on the overall energy consumption for secure data transactions.