Smart Grid Tamper Detection Using Learned Event Patterns View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

William L. Sousan , Qiuming Zhu , Robin Gandhi , William Mahoney

ABSTRACT

The functionalities of a Smart Grid include the use of a network of power management devices to control the demand-based power distributions, dynamic pricing, reliable power quality monitoring, self-healing, and other customer services within the grid. However, by the very nature of these functions, there arises a great need for system security as the network connection offers would-be hostile attackers an ideal target. A protection mechanism that is adaptive and forward looking for the types of attacks that are unaccounted in terms of the latent system vulnerabilities is explored in this chapter. The method of learning normal operations and monitoring for abnormal operations has the potential for providing increased security and tamper detection within the grid. This chapter reviews present day state-of-the-art behavior monitoring and anomaly detection methods along with a presentation of a new method for learning event patterns and detecting anomalies for the purposes of tamper detection. More... »

PAGES

99-115

References to SciGraph publications

  • 2007. Intrusion Detection and Event Monitoring in SCADA Networks in CRITICAL INFRASTRUCTURE PROTECTION
  • Book

    TITLE

    Optimization and Security Challenges in Smart Power Grids

    ISBN

    978-3-642-38133-1
    978-3-642-38134-8

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-38134-8_5

    DOI

    http://dx.doi.org/10.1007/978-3-642-38134-8_5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1038274376


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "Technical Support Inc., Omaha, NE\u00a068137, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sousan", 
            "givenName": "William L.", 
            "id": "sg:person.015234355535.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015234355535.15"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Nebraska at Omaha", 
              "id": "https://www.grid.ac/institutes/grid.266815.e", 
              "name": [
                "College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE\u00a068182, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhu", 
            "givenName": "Qiuming", 
            "id": "sg:person.01143445260.78", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143445260.78"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Nebraska at Omaha", 
              "id": "https://www.grid.ac/institutes/grid.266815.e", 
              "name": [
                "College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE\u00a068182, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gandhi", 
            "givenName": "Robin", 
            "id": "sg:person.013455401330.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013455401330.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Nebraska at Omaha", 
              "id": "https://www.grid.ac/institutes/grid.266815.e", 
              "name": [
                "College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE\u00a068182, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mahoney", 
            "givenName": "William", 
            "id": "sg:person.0667471260.00", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667471260.00"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1145/2179298.2179326", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000050815"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-0-387-75462-8_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025907742", 
              "https://doi.org/10.1007/978-0-387-75462-8_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-0-387-75462-8_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025907742", 
              "https://doi.org/10.1007/978-0-387-75462-8_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/surv.2011.101911.00087", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061446752"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icectech.2011.5941927", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094229332"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2013", 
        "datePublishedReg": "2013-01-01", 
        "description": "The functionalities of a Smart Grid include the use of a network of power management devices to control the demand-based power distributions, dynamic pricing, reliable power quality monitoring, self-healing, and other customer services within the grid. However, by the very nature of these functions, there arises a great need for system security as the network connection offers would-be hostile attackers an ideal target. A protection mechanism that is adaptive and forward looking for the types of attacks that are unaccounted in terms of the latent system vulnerabilities is explored in this chapter. The method of learning normal operations and monitoring for abnormal operations has the potential for providing increased security and tamper detection within the grid. This chapter reviews present day state-of-the-art behavior monitoring and anomaly detection methods along with a presentation of a new method for learning event patterns and detecting anomalies for the purposes of tamper detection.", 
        "editor": [
          {
            "familyName": "Pappu", 
            "givenName": "Vijay", 
            "type": "Person"
          }, 
          {
            "familyName": "Carvalho", 
            "givenName": "Marco", 
            "type": "Person"
          }, 
          {
            "familyName": "Pardalos", 
            "givenName": "Panos", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-642-38134-8_5", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-642-38133-1", 
            "978-3-642-38134-8"
          ], 
          "name": "Optimization and Security Challenges in Smart Power Grids", 
          "type": "Book"
        }, 
        "name": "Smart Grid Tamper Detection Using Learned Event Patterns", 
        "pagination": "99-115", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-642-38134-8_5"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "b6536803a6204d6b37690ec6cbdff563fd951c2bc1c58a9c071b7f334f51ece2"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1038274376"
            ]
          }
        ], 
        "publisher": {
          "location": "Berlin, Heidelberg", 
          "name": "Springer Berlin Heidelberg", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-642-38134-8_5", 
          "https://app.dimensions.ai/details/publication/pub.1038274376"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T17:02", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8678_00000065.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-642-38134-8_5"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-38134-8_5'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-38134-8_5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-38134-8_5'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-38134-8_5'


     

    This table displays all metadata directly associated to this object as RDF triples.

    111 TRIPLES      23 PREDICATES      31 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-642-38134-8_5 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author N84fb3eb262194730954d2cc9d863206b
    4 schema:citation sg:pub.10.1007/978-0-387-75462-8_12
    5 https://doi.org/10.1109/icectech.2011.5941927
    6 https://doi.org/10.1109/surv.2011.101911.00087
    7 https://doi.org/10.1145/2179298.2179326
    8 schema:datePublished 2013
    9 schema:datePublishedReg 2013-01-01
    10 schema:description The functionalities of a Smart Grid include the use of a network of power management devices to control the demand-based power distributions, dynamic pricing, reliable power quality monitoring, self-healing, and other customer services within the grid. However, by the very nature of these functions, there arises a great need for system security as the network connection offers would-be hostile attackers an ideal target. A protection mechanism that is adaptive and forward looking for the types of attacks that are unaccounted in terms of the latent system vulnerabilities is explored in this chapter. The method of learning normal operations and monitoring for abnormal operations has the potential for providing increased security and tamper detection within the grid. This chapter reviews present day state-of-the-art behavior monitoring and anomaly detection methods along with a presentation of a new method for learning event patterns and detecting anomalies for the purposes of tamper detection.
    11 schema:editor Nf2e7634e4a7b46d38389fe57e598ee78
    12 schema:genre chapter
    13 schema:inLanguage en
    14 schema:isAccessibleForFree false
    15 schema:isPartOf N5cfbc9fdb305424f9008093840bacd18
    16 schema:name Smart Grid Tamper Detection Using Learned Event Patterns
    17 schema:pagination 99-115
    18 schema:productId N53e04d53ba014370a7a27085d07e0f39
    19 Nc4fd917524c540ceae4c9d254d6d6816
    20 Ned331796f9144ec3afece038e9bba76f
    21 schema:publisher Naed72524c4ba43e397b7fe384ee4e8bb
    22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038274376
    23 https://doi.org/10.1007/978-3-642-38134-8_5
    24 schema:sdDatePublished 2019-04-15T17:02
    25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    26 schema:sdPublisher N6c61bef593d744b482d51b6b35e2940b
    27 schema:url http://link.springer.com/10.1007/978-3-642-38134-8_5
    28 sgo:license sg:explorer/license/
    29 sgo:sdDataset chapters
    30 rdf:type schema:Chapter
    31 N16da044a7ae7492eb07e58043e40c337 rdf:first sg:person.013455401330.47
    32 rdf:rest N8f9bacc13c474cbea74066fe441d62a8
    33 N2ca4c5942d1d43b182241553322cfc74 schema:name Technical Support Inc., Omaha, NE 68137, USA
    34 rdf:type schema:Organization
    35 N474da50e670242cfb5baef3fc701e7ec schema:familyName Pappu
    36 schema:givenName Vijay
    37 rdf:type schema:Person
    38 N53e04d53ba014370a7a27085d07e0f39 schema:name dimensions_id
    39 schema:value pub.1038274376
    40 rdf:type schema:PropertyValue
    41 N5cfbc9fdb305424f9008093840bacd18 schema:isbn 978-3-642-38133-1
    42 978-3-642-38134-8
    43 schema:name Optimization and Security Challenges in Smart Power Grids
    44 rdf:type schema:Book
    45 N651783b87a2f4d1eb0cd58bfdffe9f5d rdf:first sg:person.01143445260.78
    46 rdf:rest N16da044a7ae7492eb07e58043e40c337
    47 N6c61bef593d744b482d51b6b35e2940b schema:name Springer Nature - SN SciGraph project
    48 rdf:type schema:Organization
    49 N7adcee32e6ad40bbb81fa9b7b62dbb3d schema:familyName Carvalho
    50 schema:givenName Marco
    51 rdf:type schema:Person
    52 N7d1d7c20f1f14316a35c92a5dd0dbfdb rdf:first N8614726a8ade42778b64e52ddb623015
    53 rdf:rest rdf:nil
    54 N84fb3eb262194730954d2cc9d863206b rdf:first sg:person.015234355535.15
    55 rdf:rest N651783b87a2f4d1eb0cd58bfdffe9f5d
    56 N8614726a8ade42778b64e52ddb623015 schema:familyName Pardalos
    57 schema:givenName Panos
    58 rdf:type schema:Person
    59 N8f9bacc13c474cbea74066fe441d62a8 rdf:first sg:person.0667471260.00
    60 rdf:rest rdf:nil
    61 Naed72524c4ba43e397b7fe384ee4e8bb schema:location Berlin, Heidelberg
    62 schema:name Springer Berlin Heidelberg
    63 rdf:type schema:Organisation
    64 Nc4fd917524c540ceae4c9d254d6d6816 schema:name readcube_id
    65 schema:value b6536803a6204d6b37690ec6cbdff563fd951c2bc1c58a9c071b7f334f51ece2
    66 rdf:type schema:PropertyValue
    67 Ned331796f9144ec3afece038e9bba76f schema:name doi
    68 schema:value 10.1007/978-3-642-38134-8_5
    69 rdf:type schema:PropertyValue
    70 Nf2e7634e4a7b46d38389fe57e598ee78 rdf:first N474da50e670242cfb5baef3fc701e7ec
    71 rdf:rest Nf59315be1e8f46f195ab0fe0303dd853
    72 Nf59315be1e8f46f195ab0fe0303dd853 rdf:first N7adcee32e6ad40bbb81fa9b7b62dbb3d
    73 rdf:rest N7d1d7c20f1f14316a35c92a5dd0dbfdb
    74 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    75 schema:name Information and Computing Sciences
    76 rdf:type schema:DefinedTerm
    77 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    78 schema:name Artificial Intelligence and Image Processing
    79 rdf:type schema:DefinedTerm
    80 sg:person.01143445260.78 schema:affiliation https://www.grid.ac/institutes/grid.266815.e
    81 schema:familyName Zhu
    82 schema:givenName Qiuming
    83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143445260.78
    84 rdf:type schema:Person
    85 sg:person.013455401330.47 schema:affiliation https://www.grid.ac/institutes/grid.266815.e
    86 schema:familyName Gandhi
    87 schema:givenName Robin
    88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013455401330.47
    89 rdf:type schema:Person
    90 sg:person.015234355535.15 schema:affiliation N2ca4c5942d1d43b182241553322cfc74
    91 schema:familyName Sousan
    92 schema:givenName William L.
    93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015234355535.15
    94 rdf:type schema:Person
    95 sg:person.0667471260.00 schema:affiliation https://www.grid.ac/institutes/grid.266815.e
    96 schema:familyName Mahoney
    97 schema:givenName William
    98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667471260.00
    99 rdf:type schema:Person
    100 sg:pub.10.1007/978-0-387-75462-8_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025907742
    101 https://doi.org/10.1007/978-0-387-75462-8_12
    102 rdf:type schema:CreativeWork
    103 https://doi.org/10.1109/icectech.2011.5941927 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094229332
    104 rdf:type schema:CreativeWork
    105 https://doi.org/10.1109/surv.2011.101911.00087 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061446752
    106 rdf:type schema:CreativeWork
    107 https://doi.org/10.1145/2179298.2179326 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000050815
    108 rdf:type schema:CreativeWork
    109 https://www.grid.ac/institutes/grid.266815.e schema:alternateName University of Nebraska at Omaha
    110 schema:name College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA
    111 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...