Secure localization with attack detection in wireless sensor networks

Saved in:

Bibliographic Details
Main Authors:	ZHU, Wentao, Xiang, Yang, Zhou, Jianying, DENG, Robert H., Feng, Bao
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2011
Subjects:	Rapid technological advances have enabled the development of low-cost sensor networks for various monitoring tasks where it is important to estimate the positions of a number of regular sensor nodes whose locations cannot be known apriori. We address the problem of localizing the regular nodes with range-based location references obtained from certain anchor nodes referred to as beacons particularly in an adverse environment where some of the beacons may be compromised. We propose an innovative modular solution featuring two lightweight modules that are for dedicated functionalities respectively but can also be closely integrated. First we harness simple geometric triangular rules and an efficient voting technique to enable the attack detection module which identifies and filters out malicious location references. We then develop a secure localization module that computes and clusters certain reference points and the position of the concerned regular node is estimated with the centroid of the most valuable reference points identified. Extensive simulations show that our attack detection module can detect compromised beacons effectively and the secure localization module can subsequently provide a dependable localization service in terms of bounded estimation error. The integrated system turns out to be tolerant of malicious attacks even in highly challenging scenarios Information Security
Online Access:	https://ink.library.smu.edu.sg/sis_research/1372 http://dx.doi.org/10.1007/s10207-011-0127-4
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.sis_research-2372
record_format	dspace
spelling	sg-smu-ink.sis_research-23722011-08-08T09:24:05Z Secure localization with attack detection in wireless sensor networks ZHU, Wentao Xiang, Yang Zhou, Jianying DENG, Robert H. Feng, Bao 2011-06-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/1372 info:doi/10.1007/s10207-011-0127-4 http://dx.doi.org/10.1007/s10207-011-0127-4 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Rapid technological advances have enabled the development of low-cost sensor networks for various monitoring tasks where it is important to estimate the positions of a number of regular sensor nodes whose locations cannot be known apriori. We address the problem of localizing the regular nodes with range-based location references obtained from certain anchor nodes referred to as beacons particularly in an adverse environment where some of the beacons may be compromised. We propose an innovative modular solution featuring two lightweight modules that are for dedicated functionalities respectively but can also be closely integrated. First we harness simple geometric triangular rules and an efficient voting technique to enable the attack detection module which identifies and filters out malicious location references. We then develop a secure localization module that computes and clusters certain reference points and the position of the concerned regular node is estimated with the centroid of the most valuable reference points identified. Extensive simulations show that our attack detection module can detect compromised beacons effectively and the secure localization module can subsequently provide a dependable localization service in terms of bounded estimation error. The integrated system turns out to be tolerant of malicious attacks even in highly challenging scenarios Information Security
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Rapid technological advances have enabled the development of low-cost sensor networks for various monitoring tasks where it is important to estimate the positions of a number of regular sensor nodes whose locations cannot be known apriori. We address the problem of localizing the regular nodes with range-based location references obtained from certain anchor nodes referred to as beacons particularly in an adverse environment where some of the beacons may be compromised. We propose an innovative modular solution featuring two lightweight modules that are for dedicated functionalities respectively but can also be closely integrated. First we harness simple geometric triangular rules and an efficient voting technique to enable the attack detection module which identifies and filters out malicious location references. We then develop a secure localization module that computes and clusters certain reference points and the position of the concerned regular node is estimated with the centroid of the most valuable reference points identified. Extensive simulations show that our attack detection module can detect compromised beacons effectively and the secure localization module can subsequently provide a dependable localization service in terms of bounded estimation error. The integrated system turns out to be tolerant of malicious attacks even in highly challenging scenarios Information Security
spellingShingle	Rapid technological advances have enabled the development of low-cost sensor networks for various monitoring tasks where it is important to estimate the positions of a number of regular sensor nodes whose locations cannot be known apriori. We address the problem of localizing the regular nodes with range-based location references obtained from certain anchor nodes referred to as beacons particularly in an adverse environment where some of the beacons may be compromised. We propose an innovative modular solution featuring two lightweight modules that are for dedicated functionalities respectively but can also be closely integrated. First we harness simple geometric triangular rules and an efficient voting technique to enable the attack detection module which identifies and filters out malicious location references. We then develop a secure localization module that computes and clusters certain reference points and the position of the concerned regular node is estimated with the centroid of the most valuable reference points identified. Extensive simulations show that our attack detection module can detect compromised beacons effectively and the secure localization module can subsequently provide a dependable localization service in terms of bounded estimation error. The integrated system turns out to be tolerant of malicious attacks even in highly challenging scenarios Information Security ZHU, Wentao Xiang, Yang Zhou, Jianying DENG, Robert H. Feng, Bao Secure localization with attack detection in wireless sensor networks
format	text
author	ZHU, Wentao Xiang, Yang Zhou, Jianying DENG, Robert H. Feng, Bao
author_facet	ZHU, Wentao Xiang, Yang Zhou, Jianying DENG, Robert H. Feng, Bao
author_sort	ZHU, Wentao
title	Secure localization with attack detection in wireless sensor networks
title_short	Secure localization with attack detection in wireless sensor networks
title_full	Secure localization with attack detection in wireless sensor networks
title_fullStr	Secure localization with attack detection in wireless sensor networks
title_full_unstemmed	Secure localization with attack detection in wireless sensor networks
title_sort	secure localization with attack detection in wireless sensor networks
publisher	Institutional Knowledge at Singapore Management University
publishDate	2011
url	https://ink.library.smu.edu.sg/sis_research/1372 http://dx.doi.org/10.1007/s10207-011-0127-4
_version_	1770571061583151104

Secure localization with attack detection in wireless sensor networks

Similar Items