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A probability based hybrid energy-efficient privacy preserving scheme to encounter with wireless traffic snooping in smart home

Application of pervasive computing devices in smart homes are rising sharply and due to this matter, demands for efficient privacy protection are increasing urgently. Possibility of interference in wireless networks is proved by previous work. Adversaries can discover contextual information because...

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Main Authors:	Abrishamchi, Mohammad Ali Nassiri, Abdullah, Abdul Hafiz, Cheok, Adrian David, Nikolic, Predrag K.
Format:	Conference or Workshop Item
Published:	2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/id/eprint/97220/ http://dx.doi.org/10.4108/eai.14-2-2017.152553
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id	my.utm.97220
record_format	eprints
spelling	my.utm.972202022-09-23T04:08:05Z http://eprints.utm.my/id/eprint/97220/ A probability based hybrid energy-efficient privacy preserving scheme to encounter with wireless traffic snooping in smart home Abrishamchi, Mohammad Ali Nassiri Abdullah, Abdul Hafiz Cheok, Adrian David Nikolic, Predrag K. QA75 Electronic computers. Computer science Application of pervasive computing devices in smart homes are rising sharply and due to this matter, demands for efficient privacy protection are increasing urgently. Possibility of interference in wireless networks is proved by previous work. Adversaries can discover contextual information because of traffic monitoring and classifying transmitters based on their radio fingerprints while data packets are encrypted or content is not important for attackers. To conceal communication patterns various approaches have been investigated. They are mainly based on injection of dummy packets into the network traffic and adding delay to transmission time. In this paper, we introduce a hybrid energy-efficient privacy preserving scheme for generating and sending dummy packets through a decision-making algorithm which works based on probability to maximize confusion of attacker in clarifying the real pattern of network traffic. 2017 Conference or Workshop Item PeerReviewed Abrishamchi, Mohammad Ali Nassiri and Abdullah, Abdul Hafiz and Cheok, Adrian David and Nikolic, Predrag K. (2017) A probability based hybrid energy-efficient privacy preserving scheme to encounter with wireless traffic snooping in smart home. In: 2nd EAI International Summit, Smart City 360 2016, 22 - 24 November 2016, Bratislava, Slovakia. http://dx.doi.org/10.4108/eai.14-2-2017.152553
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Abrishamchi, Mohammad Ali Nassiri Abdullah, Abdul Hafiz Cheok, Adrian David Nikolic, Predrag K. A probability based hybrid energy-efficient privacy preserving scheme to encounter with wireless traffic snooping in smart home
description	Application of pervasive computing devices in smart homes are rising sharply and due to this matter, demands for efficient privacy protection are increasing urgently. Possibility of interference in wireless networks is proved by previous work. Adversaries can discover contextual information because of traffic monitoring and classifying transmitters based on their radio fingerprints while data packets are encrypted or content is not important for attackers. To conceal communication patterns various approaches have been investigated. They are mainly based on injection of dummy packets into the network traffic and adding delay to transmission time. In this paper, we introduce a hybrid energy-efficient privacy preserving scheme for generating and sending dummy packets through a decision-making algorithm which works based on probability to maximize confusion of attacker in clarifying the real pattern of network traffic.
format	Conference or Workshop Item
author	Abrishamchi, Mohammad Ali Nassiri Abdullah, Abdul Hafiz Cheok, Adrian David Nikolic, Predrag K.
author_facet	Abrishamchi, Mohammad Ali Nassiri Abdullah, Abdul Hafiz Cheok, Adrian David Nikolic, Predrag K.
author_sort	Abrishamchi, Mohammad Ali Nassiri
title	A probability based hybrid energy-efficient privacy preserving scheme to encounter with wireless traffic snooping in smart home
title_short	A probability based hybrid energy-efficient privacy preserving scheme to encounter with wireless traffic snooping in smart home
title_full	A probability based hybrid energy-efficient privacy preserving scheme to encounter with wireless traffic snooping in smart home
title_fullStr	A probability based hybrid energy-efficient privacy preserving scheme to encounter with wireless traffic snooping in smart home
title_full_unstemmed	A probability based hybrid energy-efficient privacy preserving scheme to encounter with wireless traffic snooping in smart home
title_sort	probability based hybrid energy-efficient privacy preserving scheme to encounter with wireless traffic snooping in smart home
publishDate	2017
url	http://eprints.utm.my/id/eprint/97220/ http://dx.doi.org/10.4108/eai.14-2-2017.152553
_version_	1745562353425973248
score	13.211869

A probability based hybrid energy-efficient privacy preserving scheme to encounter with wireless traffic snooping in smart home

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