Enhancing Security in WSN by Artificial Intelligence

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Abstract

Wireless sensor network (WSN) comprises of sensor nodes such as magnetic, thermal, infra red, and the radar is setup in a particular geographical area. These nodes are used to transmit data or packet from one node to another i.e., from sender to receiver. The capabilities of WSN include manipulating and controlling the physical and environmental entities such as – humidity, temperature, sound, pressure, light etc. Wireless Sensor Networks have various applications such as Military applications, Healthcare applications etc. and also the security of the wireless sensor network is becoming a major concern. There are various types of attacks that are performed on wireless sensor networks. So due to this it is necessary to prevent WSN against these types of attacks. The size of the sensor node is small. The sensor nodes are energy constraints. The sensor nodes can easily be operated on low power. Basically, this paper presents a system which is used to prevent WSN from various types of attacks. By using the concept of artificial intelligence, we can easily detect the malicious nodes so that we can easily prevent our secret information from malicious nodes and also on expert system is developed using C language to prevent WSN from various types of attacks.

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APA

Abidin, S. (2019). Enhancing Security in WSN by Artificial Intelligence. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 26, pp. 814–821). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-03146-6_93

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