Security attacks on wireless sensor networks: Survey
S. Tamil Selvi, P. Visalakshi · AIP conference proceedings · 2022
Wireless Sensor Network (WSN) is the most promising area and is widely used in the military, healthcare and weather forecasting fields. There are many nodes in a WSN, and they all communicate with each other and share information. It's crucial to keep data secure when it's being sent between nodes. It's crucial to keep your network secure. Different attacks on security are discussed in this paper, as well as the solutions provided by the authors. When a data is transferred from source to destination there may be possibility to act intermediate node as malicious. The task of identifying the malicious node in the network is extremely difficult. During data packet transfers, an intruder tries to break in and steal data packets. On its way from one node to another, a hacker changes the data in transit. There are many security solutions provided by different authors, and they have all used Deep Learning (DL) to describe the attacks discussed in this paper. To determine the authenticity of the node, a variety of Deep learning techniques are employed. Attacks on the WSN network are tailored to the layer used in the architecture. Security attacks will be categorised and the DL technique will be used as a solution for dealing with the security attack.