Reconcile security requirements for intelligent vehicles

Madhusudan Singh, Shiho Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


An intelligent vehicle (Self-driving) is an emerging research area. Presently, many industries, research organizations and universities are working on intelligent vehicles. Some researchers are working on security issues of intelligent vehicles (IV). Most of the researchers focus on static security (static security cannot adapt to the changes in the environment). Since the environment of IV is dynamically changing, the approach of static security is not feasible to provide reconcile cyber-security in IV. Reconciling systems evolve in a very uncertain environment and try to fulfill a business objective by sensing the environment, analyzing it and taking the best decision according to its requirements. In this paper, we discuss reconcile security requirements engineering to provide cyber-security in IV. To fulfill our objective, we use the goal modeling approach of RE, the Knowledge Acquisition in Automated Specification (KAOS) Model approach, and designed it using Objectiver tool to find the reconciling requirements. Self-reconciliation in requirement engineering is acquired by five building blocks such as Monitor, Analyze, Plan, Execute and Knowledge i.e. [MAPE-K] loop architecture, which provides the reconciling capabilities to our proposed reconciling requirements for cyber-security in IV.

Original languageEnglish
Title of host publicationICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings
PublisherIEEE Computer Society
Number of pages6
ISBN (Electronic)9788993215137
Publication statusPublished - 2017 Dec 13
Event17th International Conference on Control, Automation and Systems, ICCAS 2017 - Jeju, Korea, Republic of
Duration: 2017 Oct 182017 Oct 21

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833


Other17th International Conference on Control, Automation and Systems, ICCAS 2017
Country/TerritoryKorea, Republic of

Bibliographical note

Publisher Copyright:
© 2017 Institute of Control, Robotics and Systems - ICROS.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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