• DocumentCode
    3365127
  • Title

    Security Prognostics: Cyber meets PHM

  • Author

    Evans, Scott C. ; Mishra, P. ; Weizhong Yan ; Bouqata, Bouchra

  • Author_Institution
    GE Global Res., Niskayuna, NY, USA
  • fYear
    2013
  • fDate
    24-27 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we cast a vision for Security Prognostics (SP) for critical systems, promoting the view that security related protections would be well served to integrate fully with Monitoring and Diagnostics (M&D) systems that assess the health of complex assets and systems. To detect complex Cyber threats we propose combining system parameters already in use by M&D systems for Prognostics and Health Monitoring (PHM) with security parameters. Combining system parameters used by M&D to detect non-malicious faults with the system parameters used by security schemes to detect complex Cyber threats will improve: (a) accuracy of PHM (b) security of M&D, and (c) availability and safety of critical systems. We also introduce the notion of Remaining Secure Life (RSL), assessed based on the propagation of “security damage,” to create the prospect for Security Prognostics. RSL will assist in the selection of appropriate response(s), based on breach or compromise to security component´s and potential impact on system operation. An example of M&D data is provided which is normally associated with non-malicious faults providing input to detect Malware execution through time series monitoring.
  • Keywords
    cybernetics; invasive software; remaining life assessment; system monitoring; time series; M and D security improvement; PHM accuracy improvement; RSL assessment; complex Cyber threat detection; complex asset health assessment; critical system availability; critical system safety; malware execution; monitoring and diagnostics systems; nonmalicious fault detection; prognostics and health monitoring; remaining secure life assessment; security damage; security parameters; security prognostics; system parameters; time series monitoring; Adaptation models; Instruments; Monitoring; Payloads; Power system faults; Process control; Security; Cyber-Security; Prognostics and Health Monitoring; Remote Monitoring and Diagnostics; Zero Day Attack;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and Health Management (PHM), 2013 IEEE Conference on
  • Conference_Location
    Gaithersburg, MD
  • Print_ISBN
    978-1-4673-5722-7
  • Type

    conf

  • DOI
    10.1109/ICPHM.2013.6621448
  • Filename
    6621448