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  <record>
    <language>eng</language>
    
      <publisher>Oriental Scientific Publishing Company</publisher>
    
    <journalTitle>Material Science Research India</journalTitle>
    
      <issn>0973-3469</issn>
    
    
    <publicationDate>2010-02-10</publicationDate>
    

        <volume>7</volume>

        <issue>2</issue>

 

    <startPage>369</startPage>
    <endPage>380</endPage>

   
      <doi></doi>
    
    <publisherRecordId>2371</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Efficient Cluster Based Intrusion Detection in Homogeneous and Heterogeneous WSN</title>

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    <abstract language="eng"><p>Wireless Sensor Networks (WSNs) offer an excellent opportunity to monitor environments, and have a lot of interesting applications in warfare. Intrusion detection in Wireless Sensor Network (WSN) is of practical interest in many applications such as detecting intruder .The intrusion detection is defined as a mechanism for a WSN to detect the existence of inappropriate, incorrect, or anomalous moving attackers In this paper, I consider the cluster based architecture according to two WSN models: homogeneous and heterogeneous WSN. Furthermore, I derive the detection probability by considering two sensing models: single-sensing detection and multiple-sensing detection. In this Intrusion detection model we are going to track and detect Intrusion in a Homogenous and Heterogeneous Wireless Sensor Networks (WSN) using the intrusion distance and detection probability with various Tracking and Detection models.</p></abstract>

    <fullTextUrl format="html">https://www.materialsciencejournal.org/vol7no2/efficient-cluster-based-intrusion-detection-in-homogeneous-and-heterogeneous-wsn/</fullTextUrl>




      <keywords language="eng">
        <keyword>Intrusion detection</keyword>
      </keywords>


      <keywords language="eng">
        <keyword> node clustering</keyword>
      </keywords>


      <keywords language="eng">
        <keyword> node class</keyword>
      </keywords>


      <keywords language="eng">
        <keyword> node heterogeneity</keyword>
      </keywords>


      <keywords language="eng">
        <keyword> sensing range</keyword>
      </keywords>

  </record>

</records>