Energy trust system for detecting sybil attack in clustered wireless sensor networks
Wireless Sensor Network (WSN) is an emerging technology that offers great promise for various applications. The sensing capabilities combined with relatively small processing power and wireless communication makes it one of the main technologies to be exploited in the future. Despite its attractive...
Saved in:
Main Authors: | , , |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2015
|
Online Access: | http://psasir.upm.edu.my/id/eprint/69379/1/Energy%20trust%20system%20for%20detecting%20sybil%20attack%20in%20clustered%20wireless%20sensor%20networks.pdf http://psasir.upm.edu.my/id/eprint/69379/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.upm.eprints.69379 |
---|---|
record_format |
eprints |
spelling |
my.upm.eprints.693792019-07-04T04:13:50Z http://psasir.upm.edu.my/id/eprint/69379/ Energy trust system for detecting sybil attack in clustered wireless sensor networks Alsaedi, Noor Hashim, Fazirulhisyam Sali, Aduwati Wireless Sensor Network (WSN) is an emerging technology that offers great promise for various applications. The sensing capabilities combined with relatively small processing power and wireless communication makes it one of the main technologies to be exploited in the future. Despite its attractive features, WSN is vulnerable to various security attacks. The constraints of WSN such as limited energy and memory make the security problem even more critical. One of the security issues of WSN is it is susceptible to sybil attack. In this attack, the adversary forges multiple entities to disrupt the entire network. This paper addresses the problem by developing a lightweight trust system using energy as a metric parameter for a hierarchical WSN. The performance evaluation of this system shows efficiency and scalability for detecting sybil attacks in terms of true and false positive detection in a heterogeneous WSN. Furthermore, this system reduces the communication overhead in the network by cancelling feedback and recommendations among sensor nodes (SNs). IEEE 2015 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69379/1/Energy%20trust%20system%20for%20detecting%20sybil%20attack%20in%20clustered%20wireless%20sensor%20networks.pdf Alsaedi, Noor and Hashim, Fazirulhisyam and Sali, Aduwati (2015) Energy trust system for detecting sybil attack in clustered wireless sensor networks. In: 2015 IEEE 12th Malaysia International Conference on Communications (MICC 2015), 23-25 Nov. 2015, Kuching, Sarawak, Malaysia. (pp. 91-95). 10.1109/MICC.2015.7725414 |
institution |
Universiti Putra Malaysia |
building |
UPM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Putra Malaysia |
content_source |
UPM Institutional Repository |
url_provider |
http://psasir.upm.edu.my/ |
language |
English |
description |
Wireless Sensor Network (WSN) is an emerging technology that offers great promise for various applications. The sensing capabilities combined with relatively small processing power and wireless communication makes it one of the main technologies to be exploited in the future. Despite its attractive features, WSN is vulnerable to various security attacks. The constraints of WSN such as limited energy and memory make the security problem even more critical. One of the security issues of WSN is it is susceptible to sybil attack. In this attack, the adversary forges multiple entities to disrupt the entire network. This paper addresses the problem by developing a lightweight trust system using energy as a metric parameter for a hierarchical WSN. The performance evaluation of this system shows efficiency and scalability for detecting sybil attacks in terms of true and false positive detection in a heterogeneous WSN. Furthermore, this system reduces the communication overhead in the network by cancelling feedback and recommendations among sensor nodes (SNs). |
format |
Conference or Workshop Item |
author |
Alsaedi, Noor Hashim, Fazirulhisyam Sali, Aduwati |
spellingShingle |
Alsaedi, Noor Hashim, Fazirulhisyam Sali, Aduwati Energy trust system for detecting sybil attack in clustered wireless sensor networks |
author_facet |
Alsaedi, Noor Hashim, Fazirulhisyam Sali, Aduwati |
author_sort |
Alsaedi, Noor |
title |
Energy trust system for detecting sybil attack in clustered wireless sensor networks |
title_short |
Energy trust system for detecting sybil attack in clustered wireless sensor networks |
title_full |
Energy trust system for detecting sybil attack in clustered wireless sensor networks |
title_fullStr |
Energy trust system for detecting sybil attack in clustered wireless sensor networks |
title_full_unstemmed |
Energy trust system for detecting sybil attack in clustered wireless sensor networks |
title_sort |
energy trust system for detecting sybil attack in clustered wireless sensor networks |
publisher |
IEEE |
publishDate |
2015 |
url |
http://psasir.upm.edu.my/id/eprint/69379/1/Energy%20trust%20system%20for%20detecting%20sybil%20attack%20in%20clustered%20wireless%20sensor%20networks.pdf http://psasir.upm.edu.my/id/eprint/69379/ |
_version_ |
1643839476093419520 |
score |
13.209306 |