A Neural Network Based Intrusion Detection System For Wireless Sensor Networks

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چکیده

Wireless Sensor Networks (WSNs) are used in many application areas including smart homes, military security applications, tracking applications and monitoring applications (oceans, animals, habitats). The number of these usage areas are increasing by day by. Currently, cyber attacks are a new battlefield and threat WSNs certainly. Protecting WSNs against attacks is an important topic and WSN have some big security deficiencies. In this paper, it is aimed that designing an intrusion detection system (IDS) developed by neural network approach for WSN and is shown that WSNs have some differences from wired and non-constrained networks so IDSs proposed for WSN have different features. The proposed system tested by KDD99 data set and it is examined that the system is successful Key–Words: Wireless Sensor Networks (WSN), Intrusion Detection Systems (IDS), Neural Networks.

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تاریخ انتشار 2015