Abstract

Technology advancements of real time connectivity and computing powers has evolved the way people manage activities triggering heavy reliance on smart devices. This has reshaped the ability to memorize crucial information, instead accumulate the information into devices allowing real-time fingertip access when needed. Inability to access such information when needed is routinely assumed with device malfunctioning bypassing the probability of compromise, but what if the information is now being accessed by adversaries depriving the data-owner access to crucial information? Cyber manufacturing systems are not immune from these issues. It is possible to approach this problem as generating SoS meta-architecture. In this paper a model is developed using SoS Explorer tool developed by Engineering Management and Systems Engineering that demonstrates the concern on a notional banking cybersecurity problem. Solution that generates a meta-architecture is achieved through Genetic Algorithm (GA) using fuzzy assessor as a fitness function to select combinations of defense mechanism constituents.

Meeting Name

25th International Conference on Production Research Manufacturing Innovation: Cyber Physical Manufacturing, ICPR 2019 (2019: Aug. 9-14, Chicago, IL)

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

Cyber Physical Systems; Cybersecurity; SoS Explorer; System of Systems (SoS)

International Standard Serial Number (ISSN)

2351-9789

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2019 The Authors, All rights reserved.

Creative Commons Licensing

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Publication Date

01 Aug 2019

Download

Full Text Link

Share

 
COinS