Detection of cyber attacks on smart grids

被引：0
|
作者：
Aditi Kar Gangopadhyay
Tanay Sheth
Tanmoy Kanti Das
Sneha Chauhan
机构：
[1] Indian Institute of Technology Roorkee,Department of Mathematics
[2] BITS Pilani Goa Campus,Department of Computer Application
[3] National Institute of Technology Raipur,Department of Computer Science and Engineering
[4] Indian Institute of Technology Roorkee,Department of Computer Science and Engineering
[5] National Institute of Technology Uttarakhand,undefined
来源：
Advances in Computational Intelligence | 2022年 / 2卷 / 5期
关键词：
Logical analysis of numerical data (LAD); Power attack systems; ML; Python; Classification;
D O I：
10.1007/s43674-022-00042-y
中图分类号：
学科分类号：
摘要：
The paper analyzes observations using a logic-based numerical methodology in Python. The Logical Analysis of Data (LAD) specializes in selecting a minimal number of features and finding unique patterns within it to distinguish ‘positive’ from ‘negative’ observations. The Python implementation of the classification model is further improved by introducing adaptations to pattern generation techniques. Finally, a case study of the Power Attack Systems Dataset used to improvise Smart Grid technology is performed to explore real-life applications of the classification model and analyze its performance against commonly used techniques.
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