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    Spoofing cyber attack detection in probe-based traffic monitoring systems using mixed integer linear programming

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    Type
    Conference Paper
    Authors
    Canepa, Edward S. cc
    Claudel, Christian G. cc
    KAUST Department
    Electrical Engineering Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Distributed Sensing Systems Laboratory (DSS)
    Date
    2013-01
    Permanent link to this record
    http://hdl.handle.net/10754/564677
    
    Metadata
    Show full item record
    Abstract
    Traffic sensing systems rely more and more on user generated (insecure) data, which can pose a security risk whenever the data is used for traffic flow control. In this article, we propose a new formulation for detecting malicious data injection in traffic flow monitoring systems by using the underlying traffic flow model. The state of traffic is modeled by the Lighthill-Whitham- Richards traffic flow model, which is a first order scalar conservation law with concave flux function. Given a set of traffic flow data, we show that the constraints resulting from this partial differential equation are mixed integer linear inequalities for some decision variable. We use this fact to pose the problem of detecting spoofing cyber-attacks in probe-based traffic flow information systems as mixed integer linear feasibility problem. The resulting framework can be used to detect spoofing attacks in real time, or to evaluate the worst-case effects of an attack offline. A numerical implementation is performed on a cyber-attack scenario involving experimental data from the Mobile Century experiment and the Mobile Millennium system currently operational in Northern California. © 2013 IEEE.
    Citation
    Canepa, E. S., & Claudel, C. G. (2013). Spoofing cyber attack detection in probe-based traffic monitoring systems using mixed integer linear programming. 2013 International Conference on Computing, Networking and Communications (ICNC). doi:10.1109/iccnc.2013.6504104
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2013 International Conference on Computing, Networking and Communications (ICNC)
    Conference/Event name
    2013 International Conference on Computing, Networking and Communications, ICNC 2013
    ISBN
    9781467352888
    DOI
    10.1109/ICCNC.2013.6504104
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICCNC.2013.6504104
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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