Intrusion Detection in Wireless Sensor Networks Using Incremental Emotional Intelligence Models

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Bayat, Firoozeh | 2009

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Type of Document: M.Sc. Thesis
Language: English
Document No: 39954 (52)
University: Sharif University of Technology, International Campus, Kish Island
Department: Science and Engineering
Advisor(s): Hashemi Mohammad Abad, Saeid
Abstract:
Wireless Sensor Networks (WSNs) are rapidly emerging as an important area in mobile computing research. Applications of WSNs are numerous and growing, some of them are even highly critical, like military or safety applications. Security measures must be applied to protect the network from a variety of attacks. Since no intrusion prevention measure is perfect, intrusion detection becomes an important second wall to protect the network. WSNs have unique nature which is different from other kinds of networks. In this project, we examine the characteristics and vulnerabilities of WSNs and propose a new intrusion detection model to protect the network security. In this work we have not only proposed a new solution for intrusion detection but also have simulated our proposed solution using Ns2 simulator. We have also provided some diagrams to show the effectiveness our proposed solution. We have compared our results with other similar solutions to show the effectiveness of our proposed solution.
Keywords:
Wireless Sensor Network ; Intrusion Detection System ; Emotional Intelligence

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