Intrusion Detection in Smart Grid


Authors : Anzar Iqbal, Mohammad ummer chopan, Pooja.

Volume/Issue : Volume 4 - 2019, Issue 4 - April

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2Xjq7nY

The idea of smart grid has extensively changed over the customary power framework into the massive Cyber Physical network that empowers the bidirectional correspondence between the grid administration focuses and the end clients. However, the presentation of such foundation have made the power frameworks significantly more adaptable and productive, with many Smart Devices included, yet additionally builds the danger of security attacks exponentially. The gadgets that are being utilized in smart grid goes about as provisos or more fragile point and give a surface region to intruders for embedding malware. So as to upgrade the security of smart grid different security instruments called intrusion detection systems are utilized, which includes the arrangement of different Intelligent Modules in numerous layers of shrewd network all together defeat the cyber threats. These Intelligent Modules utilize different Classification Algorithms to distinguish and arrange the malicious data and dependent on that perception recognizes whether there is a security assault or not. In this paper we are going to present an approach towards the classification various events (attack or natural) occurring in smart grid for enhancing the security in smart grid and hence prevent them from any sort intrusion that can disrupt normal functioning of smart grid.

Keywords : Component, Formatting, Style, Styling, Insert.

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