An intelligent collaborative Intrusion Detection and Prevention System for Smart Grid environments

Ahmed Patel, Joaquim Celestino Júnior, Jens Myrup Pedersen

    Research output: Contribution to journalArticle

    Abstract

    Smart Grid (SG) critical infrastructure systems are susceptible to high security risks cyber-attacks. It necessitates resilient and protective Intrusion Detection and Prevention Systems (IDPSs) to protect them. Since traditional signature and anomaly detection of intrusions are insufficient to make SGs safe, therefore a fully distributed managed Collaborative Smart IDPS (CSIDPS) is proposed. It is robust, flexible and scalable to satisfy the core requirements of IDPS for future SGs by including a set of autonomic, machine learning and ontology knowledge-base inference engine and fuzzy logic risk manager functionalities. In comparison to IDPS, CSIDPS increases detection accuracy and decreases false positive alarms.

    Original languageEnglish
    JournalComputer Standards and Interfaces
    DOIs
    Publication statusAccepted/In press - 2013

    Fingerprint

    Intrusion detection
    Critical infrastructures
    Inference engines
    Fuzzy logic
    Ontology
    Learning systems
    logic
    Managers
    ontology
    functionality
    manager
    infrastructure
    learning

    Keywords

    • Intelligent Collaborative Autonomic Management
    • Risk Assessment Management
    • SCADA
    • Smart Grid
    • Smart Intrusion Detection and Prevention System (IDPS)

    ASJC Scopus subject areas

    • Law
    • Software
    • Hardware and Architecture

    Cite this

    An intelligent collaborative Intrusion Detection and Prevention System for Smart Grid environments. / Patel, Ahmed; Júnior, Joaquim Celestino; Pedersen, Jens Myrup.

    In: Computer Standards and Interfaces, 2013.

    Research output: Contribution to journalArticle

    @article{7dcaa537c21b4b5fb1afa874d60a5291,
    title = "An intelligent collaborative Intrusion Detection and Prevention System for Smart Grid environments",
    abstract = "Smart Grid (SG) critical infrastructure systems are susceptible to high security risks cyber-attacks. It necessitates resilient and protective Intrusion Detection and Prevention Systems (IDPSs) to protect them. Since traditional signature and anomaly detection of intrusions are insufficient to make SGs safe, therefore a fully distributed managed Collaborative Smart IDPS (CSIDPS) is proposed. It is robust, flexible and scalable to satisfy the core requirements of IDPS for future SGs by including a set of autonomic, machine learning and ontology knowledge-base inference engine and fuzzy logic risk manager functionalities. In comparison to IDPS, CSIDPS increases detection accuracy and decreases false positive alarms.",
    keywords = "Intelligent Collaborative Autonomic Management, Risk Assessment Management, SCADA, Smart Grid, Smart Intrusion Detection and Prevention System (IDPS)",
    author = "Ahmed Patel and J{\'u}nior, {Joaquim Celestino} and Pedersen, {Jens Myrup}",
    year = "2013",
    doi = "10.1016/j.csi.2013.01.003",
    language = "English",
    journal = "Computer Standards and Interfaces",
    issn = "0920-5489",
    publisher = "Elsevier",

    }

    TY - JOUR

    T1 - An intelligent collaborative Intrusion Detection and Prevention System for Smart Grid environments

    AU - Patel, Ahmed

    AU - Júnior, Joaquim Celestino

    AU - Pedersen, Jens Myrup

    PY - 2013

    Y1 - 2013

    N2 - Smart Grid (SG) critical infrastructure systems are susceptible to high security risks cyber-attacks. It necessitates resilient and protective Intrusion Detection and Prevention Systems (IDPSs) to protect them. Since traditional signature and anomaly detection of intrusions are insufficient to make SGs safe, therefore a fully distributed managed Collaborative Smart IDPS (CSIDPS) is proposed. It is robust, flexible and scalable to satisfy the core requirements of IDPS for future SGs by including a set of autonomic, machine learning and ontology knowledge-base inference engine and fuzzy logic risk manager functionalities. In comparison to IDPS, CSIDPS increases detection accuracy and decreases false positive alarms.

    AB - Smart Grid (SG) critical infrastructure systems are susceptible to high security risks cyber-attacks. It necessitates resilient and protective Intrusion Detection and Prevention Systems (IDPSs) to protect them. Since traditional signature and anomaly detection of intrusions are insufficient to make SGs safe, therefore a fully distributed managed Collaborative Smart IDPS (CSIDPS) is proposed. It is robust, flexible and scalable to satisfy the core requirements of IDPS for future SGs by including a set of autonomic, machine learning and ontology knowledge-base inference engine and fuzzy logic risk manager functionalities. In comparison to IDPS, CSIDPS increases detection accuracy and decreases false positive alarms.

    KW - Intelligent Collaborative Autonomic Management

    KW - Risk Assessment Management

    KW - SCADA

    KW - Smart Grid

    KW - Smart Intrusion Detection and Prevention System (IDPS)

    UR - http://www.scopus.com/inward/record.url?scp=84874256529&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84874256529&partnerID=8YFLogxK

    U2 - 10.1016/j.csi.2013.01.003

    DO - 10.1016/j.csi.2013.01.003

    M3 - Article

    JO - Computer Standards and Interfaces

    JF - Computer Standards and Interfaces

    SN - 0920-5489

    ER -