|
|||||
|
|
Intrusion Detection System for Wireless Sensor Networks Using Danger Theory Immune-Inspired Techniques |
|
| Authors: | Helio Mendes Salmon Claudio M de Farias Paula Loureiro Luci Pirmez Silvana Rossetto Paulo Henrique de A Rodrigues Rodrigo Pirmez Flávia C Delicato Luiz Fernando R da Costa Carmo |
| Affiliation: | 1. Programa de Pós-Gradua??o em Informática, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil 2. Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Cidade Universitária, Rio de Janeiro, RJ, 21941-901, Brazil 4. Departamento de Informática e Matemática Aplicada, Universidade Federal do Rio Grande do Norte, Campus Universitário Lagoa Nova, Natal, RN, 59078-970, Brazil 3. Instituto Nacional de Metrologia, Normaliza??o e Qualidade Industrial, Av. N. S. das Gra?as, 50, Xerém, Duque de Caxias, RJ, 25250-020, Brazil |
| Abstract: | 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. |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |