Enhancement of serins to mitigate passive wormhole attack in wireless sensor networks
Wireless Sensor Networks is consisting of number of limited sensor devices which are communicated over the wireless media. There are a lot of its application in military, health and also industry. Stated that the sensor devices are limited resources, the network may experience a variety of conventio...
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my-utm-ep.327752018-05-27T07:51:30Z Enhancement of serins to mitigate passive wormhole attack in wireless sensor networks 2011-06 Modirkhazeni, Ali QA75 Electronic computers. Computer science Wireless Sensor Networks is consisting of number of limited sensor devices which are communicated over the wireless media. There are a lot of its application in military, health and also industry. Stated that the sensor devices are limited resources, the network may experience a variety of conventional techniques of attack and the attacks that are not desirable because of limited resources is a characteristic of the type of network. One severe attack in WSNs is passive wormhole attack which attacker forwards data from one part of network to another part through the wormhole. In this dissertation, neighbor discovery approach has been proposed in order to enhance SeRINS to detect and mitigate passive wormhole attack which bring considerable amount of communication over load to entire network and is a means of lunching DoS attack. The simulation results shows that when enhanced SeRINS through the proposed neighbor discovery approach, it can detect and mitigate almost 100% of passive wormhole attacks 2011-06 Thesis http://eprints.utm.my/id/eprint/32775/ http://eprints.utm.my/id/eprint/32775/5/AliModirkhazeniMFSKSM2011.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System |
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QA75 Electronic computers Computer science Modirkhazeni, Ali Enhancement of serins to mitigate passive wormhole attack in wireless sensor networks |
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Wireless Sensor Networks is consisting of number of limited sensor devices which are communicated over the wireless media. There are a lot of its application in military, health and also industry. Stated that the sensor devices are limited resources, the network may experience a variety of conventional techniques of attack and the attacks that are not desirable because of limited resources is a characteristic of the type of network. One severe attack in WSNs is passive wormhole attack which attacker forwards data from one part of network to another part through the wormhole. In this dissertation, neighbor discovery approach has been proposed in order to enhance SeRINS to detect and mitigate passive wormhole attack which bring considerable amount of communication over load to entire network and is a means of lunching DoS attack. The simulation results shows that when enhanced SeRINS through the proposed neighbor discovery approach, it can detect and mitigate almost 100% of passive wormhole attacks |
format |
Thesis |
qualification_level |
Master's degree |
author |
Modirkhazeni, Ali |
author_facet |
Modirkhazeni, Ali |
author_sort |
Modirkhazeni, Ali |
title |
Enhancement of serins to mitigate passive wormhole attack in wireless sensor networks |
title_short |
Enhancement of serins to mitigate passive wormhole attack in wireless sensor networks |
title_full |
Enhancement of serins to mitigate passive wormhole attack in wireless sensor networks |
title_fullStr |
Enhancement of serins to mitigate passive wormhole attack in wireless sensor networks |
title_full_unstemmed |
Enhancement of serins to mitigate passive wormhole attack in wireless sensor networks |
title_sort |
enhancement of serins to mitigate passive wormhole attack in wireless sensor networks |
granting_institution |
Universiti Teknologi Malaysia, Faculty of Computer Science and Information System |
granting_department |
Faculty of Computer Science and Information System |
publishDate |
2011 |
url |
http://eprints.utm.my/id/eprint/32775/5/AliModirkhazeniMFSKSM2011.pdf |
_version_ |
1747816057456820224 |