Journal Article

Mixed Cryptography Constrained Optimization for Heterogeneous, Multicore, and Distributed Embedded Systems

Nam, Hyunsuk, Lysecky, Roman

2018

Overview

Embedded systems continue to execute computational- and memory-intensive applications with vast data sets, dynamic workloads, and dynamic execution characteristics. Adaptive distributed and heterogeneous embedded systems are increasingly critical in supporting dynamic execution requirements. With pervasive network access within these systems, security is a critical design concern that must be considered and optimized within such dynamically adaptive systems. This paper presents a modeling and optimization framework for distributed, heterogeneous embedded systems. A dataflow-based modeling framework for adaptive streaming applications integrates models for computational latency, mixed cryptographic implementations for inter-task and intra-task communication, security levels, communication latency, and power consumption. For the security model, we present a level-based modeling of cryptographic algorithms using mixed cryptographic implementations. This level-based security model enables the development of an efficient, multi-objective genetic optimization algorithm to optimize security and energy consumption subject to current application requirements and security policy constraints. The presented methodology is evaluated using a video-based object detection and tracking application and several synthetic benchmarks representing various application types and dynamic execution characteristics. Experimental results demonstrate the benefits of a mixed cryptographic algorithm security model compared to using a single, fixed cryptographic algorithm. Results also highlight how security policy constraints can yield increased security strength and cryptographic diversity for the same energy constraint.

• Publisher: MDPI AG
• Subject: adaptive system / Adaptive systems / Algorithms / Computation / Computer memory / Confidentiality / Cryptography / distributed systems / Embedded systems / Energy consumption / Field programmable gate arrays / Genetic algorithms / heterogeneous multicore systems / Integrated approach / International conferences / Internet of Things / Methods / mixed cryptographic security model / Multiple objective analysis / Object recognition / Optimization / Power consumption / runtime security optimization / Scheduling / Security / Security systems / security-driven optimization / Software / system-level codesign / Wireless communications / Wireless networks