Data authenticity and integrity in wireless sensor networks based on a watermarking approach

Farid Lalem, Muath Aishaikh, Ahcène Bounceur, Reinhardt Euler, Lamri Laouamer, Laurent Nana, Anca Pascu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Wireless Sensor Networks are emerging as an innovative technology that can revolutionize and improve our daily lives. Nevertheless, the use of such a technology raises new challenges regarding the development of reliable and secure systems. Securing WSN is thus imperative and challenging. Unfortunately, the conventional security measures based on data encryption are not well suitable to WSNs due to energy and computational resource constraints. However, watermarking techniques usually have light requirements of resource. This paper proposes a new fully distributed watermarking approach for WSNs. This approach is focused on ensuring integrity and authenticity of data. Moreover, in our approach watermark payload and computational complexity are low. The proposed approach is implemented and simulated with the CupCarbon simulator. The simulation results show that the proposed method is energy efficient1.

Original languageEnglish
Title of host publicationProceedings of the 29th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016
EditorsZdravko Markov, Ingrid Russell
PublisherAAAI press
Pages276-281
Number of pages6
ISBN (Electronic)9781577357568
StatePublished - 2016
Externally publishedYes
Event29th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016 - Key Largo, United States
Duration: 16 May 201618 May 2016

Publication series

NameProceedings of the 29th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016

Conference

Conference29th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016
Country/TerritoryUnited States
CityKey Largo
Period16/05/1618/05/16

Bibliographical note

Publisher Copyright:
© 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Computer Networks and Communications

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