Integrated data space randomization and control reconfiguration for securing cyber-physical systems

Bradley Potteiger, Zhenkai Zhang, Xenofon Koutsoukos

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

1 Scopus citations

Abstract

Non-control data attacks have become widely popular for circumventing authentication mechanisms in websites, servers, and personal computers. Moreover, in the context of Cyber-Physical Systems (CPS) attacks can be executed against not only authentication but also safety. With the tightly coupled nature between the cyber components and physical dynamics, any unauthorized change to safety-critical variables may cause damage or even catastrophic consequences. Moving target defense (MTD) techniques such as data space randomization (DSR) can be effective for protecting against various types of memory corruption attacks including non-control data attacks. However, in terms of CPS it is also critical to ensure the timely Cyber-Physical interactions after attacks thwarted by MTD. This paper addresses the problem of maintaining system stability and security properties of a CPS in the face of non-control data attacks by developing a DSR approach for randomizing binaries at runtime, creating a variable redundancy based detection algorithm for identifying variable integrity violations, and integrating a control reconfiguration architecture for maintaining safe and reliable operation. Our security framework is demonstrated utilizing an autonomous vehicle case study.

Original languageEnglish
Title of host publicationProceedings of the 6th Annual Symposium on Hot Topics in the Science of Security, HotSoS 2019
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450371476
DOIs
StatePublished - Apr 1 2019
Event6th Annual Symposium on Hot Topics in the Science of Security, HotSoS 2019 - Nashville, United States
Duration: Apr 1 2019Apr 3 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference6th Annual Symposium on Hot Topics in the Science of Security, HotSoS 2019
CountryUnited States
CityNashville
Period04/1/1904/3/19

Keywords

  • Cyber-Physical Systems
  • Data Space Randomization
  • Moving Target Defenses
  • Resilient Architectures

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  • Cite this

    Potteiger, B., Zhang, Z., & Koutsoukos, X. (2019). Integrated data space randomization and control reconfiguration for securing cyber-physical systems. In Proceedings of the 6th Annual Symposium on Hot Topics in the Science of Security, HotSoS 2019 [a3] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3314058.3314064