Multi-level Privacy Protection Framework for Wireless Sensor Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00057803" target="_blank" >RIV/00216224:14330/12:00057803 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Multi-level Privacy Protection Framework for Wireless Sensor Networks
Original language description
Privacy protection problem in wireless sensor networks has drawn a lot of attention in recent years. Yet, the existing privacy protection mechanisms are not likely to bring an optimal privacy/cost trade-off for real networks. They target a specific attacker model and static application scenario requirements. However, both the attacker model and the requirements may evolve during the network lifetime. We propose a multilevel privacy protection framework that allows for a dynamic adjustment of the privacy/cost trade-off. We give concrete examples of five privacy levels each targeting a different attacker model in a given application scenario. The privacy levels deploy both existing and novel privacy protection mechanisms. We also introduce our scheme that enables a dynamic privacy level interchange. All the proposed privacy levels support a concurrent operation of a network intrusion detection system.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MEMICS 2012, Eighth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science
ISBN
9788087342152
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
38-48
Publisher name
NOVPRESS s.r.o.
Place of publication
Brno
Event location
Znojmo
Event date
Jan 1, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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