Visible to the public System-Level Design Optimization for Security-Critical Cyber-Physical-Social Systems

TitleSystem-Level Design Optimization for Security-Critical Cyber-Physical-Social Systems
Publication TypeJournal Article
Year of Publication2017
AuthorsZeng, Jing, Yang, Laurence T., Lin, Man, Shao, Zili, Zhu, Dakai
JournalACM Trans. Embed. Comput. Syst.
Volume16
Pagination39:1–39:21
ISSN1539-9087
Keywordscyber-physical-social systems, design optimization, human factors, Metrics, Pervasive computing, Pervasive Computing Security, pubcrawl, Resiliency, Scalability, security critical, system-level design
Abstract

Cyber-physical-social systems (CPSS), an emerging computing paradigm, have attracted intensive attentions from the research community and industry. We are facing various challenges in designing secure, reliable, and user-satisfied CPSS. In this article, we consider these design issues as a whole and propose a system-level design optimization framework for CPSS design where energy consumption, security-level, and user satisfaction requirements can be fulfilled while satisfying constraints for system reliability. Specifically, we model the constraints (energy efficiency, security, and reliability) as the penalty functions to be incorporated into the corresponding objective functions for the optimization problem. A smart office application is presented to demonstrate the feasibility and effectiveness of our proposed design optimization approach.

URLhttp://doi.acm.org/10.1145/2925991
DOI10.1145/2925991
Citation Keyzeng_system-level_2017