Intrusion Detection System for Wireless Sensor Networks Using Danger Theory Immune-Inspired Techniques

被引：41

作者：

Salmon, Helio ^{[1
]}

de Farias, Claudio ^{[1
]}

Loureiro, Paula ^{[1
,2
]}

Pirmez, Luci ^{[1
,3
,4
]}

Rossetto, Silvana ^{[1
,2
]}

Rodrigues, Paulo ^{[1
]}

Pirmez, Rodrigo

Delicato, Flavia ^{[5
]}

da Costa Carmo, Luiz ^{[6
]}

机构：

[1] Univ Fed Rio de Janeiro, Programa Posgrad Informat, Rio De Janeiro, RJ, Brazil

[2] Univ Fed Rio de Janeiro, Comp Sci, Rio De Janeiro, RJ, Brazil

[3] Univ Fed Rio de Janeiro, Inst Informat, Rio De Janeiro, RJ, Brazil

[4] Univ Fed Rio de Janeiro, Fac Med, BR-21941901 Rio De Janeiro, RJ, Brazil

[5] Univ Fed Rio Grande do Norte, Dept Informat & Matemat Aplicada, BR-59078970 Natal, RN, Brazil

[6] Inst Nacl Metrol Normalizacao & Qualidade Ind, BR-25250020 Duque De Caxias, RJ, Brazil

来源：

INTERNATIONAL JOURNAL OF WIRELESS INFORMATION NETWORKS | 2013年 / 20卷 / 01期

关键词：

Wireless sensor networks; Intrusion Detection System; Artificial immune inspired system; Denial-of-sleep attack;

D O I：

10.1007/s10776-012-0179-z

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

An IDS framework inspired in the Human Immune System to be applied in the wireless sensor network context is proposed. It uses an improved decentralized and customized version of the Dendritic Cell Algorithm, which allows nodes to monitor their neighborhood and collaborate to identify an intruder. The work was implemented and tested both in simulation and in real sensor platform scenarios, comparing them to each other and was also compared to a Negative Selection Theory implementation in order to demonstrate its efficiency in detecting a denial-of-sleep attack and in energy consumption. Results demonstrated the success of the proposal.

引用

页码：39 / 66

页数：28

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