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Decentralized intrusion detection in wireless sensor networks
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Source International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 1st ACM international workshop on Quality of service & security in wireless and mobile networks table of contents
Montreal, Quebec, Canada
SESSION: Wireless network security I table of contents
Pages: 16 - 23  
Year of Publication: 2005
ISBN:1-59593-241-0
Authors
Ana Paula R. da Silva  Federal Univ of Minas Gerais, Belo Horizonte, MG, Brazil
Marcelo H. T. Martins  Federal Univ of Minas Gerais, Belo Horizonte, MG, Brazil
Bruno P. S. Rocha  Federal Univ of Minas Gerais, Belo Horizonte, MG, Brazil
Antonio A. F. Loureiro  Federal Univ of Minas Gerais, Belo Horizonte, MG, Brazil
Linnyer B. Ruiz  Federal Univ of Minas Gerais, Belo Horizonte, MG, Brazil
Hao Chi Wong  Federal Univ of Minas Gerais, Belo Horizonte, MG, Brazil
Sponsors
SIGSIM: ACM Special Interest Group on Simulation and Modeling
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Wireless sensor networks (WSNs) have many potential applications. Furthermore, in many scenarios WSNs are of interest to adversaries and they become susceptible to some types of attacks since they are deployed in open and unprotected environments and are constituted of cheap small devices. Preventive mechanisms can be applied to protect WSNs against some types of attacks. However, there are some attacks for which there is no known prevention methods. For these cases, it is necessary to use some mechanism of intrusion detection. Besides preventing the intruder from causing damages to the network, the intrusion detection system (IDS) can acquire information related to the attack techniques, helping in the development of prevention systems. In this work we propose an IDS that fits the demands and restrictions of WSNs. Simulation results reveal that the proposed IDS is efficient and accurate in detecting different kinds of simulated attacks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Ana Paula R. da Silva: colleagues
Marcelo H. T. Martins: colleagues
Bruno P. S. Rocha: colleagues
Antonio A. F. Loureiro: colleagues
Linnyer B. Ruiz: colleagues
Hao Chi Wong: colleagues