作者
Gauri Kalnoor, S Gowrishankar
发表日期
2022
研讨会论文
ICDSMLA 2020: Proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications
页码范围
73-80
出版商
Springer Singapore
简介
The existing Intrusion Detection Systems which are mostly designed for detecting the particular form of Intrusion for Wireless Sensor Network (WSN) has many restrictions for different types of attacks and network structures. A novel strategy for intrusion detection based on knowledge has to be applied where the attacks are prevented from creating deviation of normal features and also from various other aggregated shapes. Multiple types of attacks should be detected over different structures of network. Every year, security is provided to the networks such that intrusions are prevented, spending around more than billions of dollars, all over the world. Among them, few disruptions that occur for vital systems are considered as the most serious type of threat mainly in areas like hospitals, military, banks and other critical applications. Firstly, clusters are discovered in the features of the network using mean shift …
引用总数
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G Kalnoor, S Gowrishankar - ICDSMLA 2020: Proceedings of the 2nd International …, 2022