miun.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Detecting anomaly node behavior in wireless sensor networks
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för informationsteknologi och medier. (Electronics design division, SensibleReality, SensorNetworkSecurity)
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för informationsteknologi och medier. (SensibleReality, SensorNetworkSecurity)
2007 (Engelska)Ingår i: Proceedings - 21st International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINAW'07, USA: IEEE conference proceedings, 2007, Vol. 2, s. 6s. 451-456, artikel-id 4221100Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Wireless sensor networks are usually deployed in a way "once deployed, never changed". The actions of sensor nodes are either pre-scheduled inside chips or triggered to respond outside events in the predefined way. This relatively predictable working flow make it easy to build accurate node profiles and detect any violation of normal profiles. In this paper, traffic patterns observed are used to model node behavior in wireless sensor networks. Firstly, selected traffic related features are used to translate observed packets into different events. Following this, unique patterns based on the arriving order of different packet events are extracted to form the normal profile for each sensor node during the profile learning stage. Finally, real time anomaly detection can be achieved based on the profile matching.

Ort, förlag, år, upplaga, sidor
USA: IEEE conference proceedings, 2007. Vol. 2, s. 6s. 451-456, artikel-id 4221100
Nationell ämneskategori
Datorteknik
Identifikatorer
URN: urn:nbn:se:miun:diva-8162DOI: 10.1109/AINAW.2007.148Scopus ID: 2-s2.0-35248878553ISBN: 978-0-7695-2847-3 (tryckt)OAI: oai:DiVA.org:miun-8162DiVA, id: diva2:133383
Konferens
21st International Conference on Advanced Information Networking and ApplicationsWorkshops/Symposia, AINAW'07; Niagara Falls, ON; Canada; 21 May 2007 through 23 May 2007; Category numberP2847; Code 70261
Projekt
STC - Sensible Things that CommunicateTillgänglig från: 2009-01-09 Skapad: 2009-01-09 Senast uppdaterad: 2018-01-13Bibliografiskt granskad
Ingår i avhandling
1. Traffic Analysis, Modeling and Their Applications in Energy-Constrained Wireless Sensor Networks: On Network Optimization and Anomaly Detection
Öppna denna publikation i ny flik eller fönster >>Traffic Analysis, Modeling and Their Applications in Energy-Constrained Wireless Sensor Networks: On Network Optimization and Anomaly Detection
2010 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Wireless sensor network (WSN) has emerged as a promising technology thanks to the recent advances in electronics, networking, and information processing. A wide range of WSN applications have been proposed such as habitat monitoring, environmental observations and forecasting systems, health monitoring, etc. In these applications, many low power and inexpensive sensor nodes are deployed in a vast space to cooperate as a network.

Although WSN is a promising technology, there is still a great deal of additional research required before it finally becomes a mature technology. This dissertation concentrates on three factors which are holding back the development of WSNs. Firstly, there is a lack of traffic analysis & modeling for WSNs. Secondly, network optimization for WSNs needs more investigation. Thirdly, the development of anomaly detection techniques for WSNs remains a seldomly touched area.

In the field of traffic analysis & modeling for WSNs, this dissertation presents several ways of modeling different aspects relating to WSN traffic, including the modeling of sequence relations among arriving packets, the modeling of a data traffic arrival process for an event-driven WSN, and the modeling of a traffic load distribution for a symmetric dense WSN. These research results enrich the current understanding regarding the traffic dynamics within WSNs, and provide a basis for further work on network optimization and anomaly detection for WSNs.

In the field of network optimization for WSNs, this dissertation presents network optimization models from which network performance bounds can be derived. This dissertation also investigates network performances constrained by the energy resources available in an indentified bottleneck zone. For a symmetric dense WSN, an optimal energy allocation scheme is proposed to minimize the energy waste due to the uneven energy drain among sensor nodes. By modeling the interrelationships among communication traffic, energy consumption and WSN performances, these presented results have efficiently integrated the knowledge on WSN traffic dynamics into the field of network optimization for WSNs.

Finally, in the field of anomaly detection for WSNs, this dissertation uses two examples to demonstrate the feasibility and the ease of detecting sensor network anomalies through the analysis of network traffic. The presented results will serve as an inspiration for the research community to develop more secure and more fault-tolerant WSNs.

Ort, förlag, år, upplaga, sidor
Sundsvall: Tryckeriet Mittuniversitetet, 2010. s. 120
Serie
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 78
Nyckelord
Wireless sensor network, traffic analysis, network optimization, anomaly detection
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Identifikatorer
urn:nbn:se:miun:diva-10690 (URN)978-91-86073-64-0 (ISBN)
Disputation
2010-02-03, L111, Mittuniversitetet, Holmgatan 10, 85170 Sundsvall, Sundsvall, 10:00 (Engelska)
Opponent
Handledare
Projekt
STC
Tillgänglig från: 2010-01-26 Skapad: 2009-12-16 Senast uppdaterad: 2018-01-12Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Personposter BETA

Wang, QinghuaZhang, Tingting

Sök vidare i DiVA

Av författaren/redaktören
Wang, QinghuaZhang, Tingting
Av organisationen
Institutionen för informationsteknologi och medier
Datorteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 842 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf