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Volume 6
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Article

Intrusion Detection System for IoT Using Logical Analysis of Data and Information Gain Ratio

by
Sneha Chauhan
1,2,*,
Sugata Gangopadhyay
1 and
Aditi Kar Gangopadhyay
3
1
Department of Computer Science and Engineering, Indian Institute of Technology-Roorkee, Roorkee 247667, India
2
Department of Computer Science and Engineering, National Institute of Technology Uttarakhand, Srinagar 246174, India
3
Department of Mathematics, Indian Institute of Technology-Roorkee, Roorkee 247667, India
*
Author to whom correspondence should be addressed.
Cryptography 2022, 6(4), 62; https://doi.org/10.3390/cryptography6040062
Submission received: 15 October 2022 / Revised: 17 November 2022 / Accepted: 1 December 2022 / Published: 5 December 2022
(This article belongs to the Special Issue Cyber Security, Cryptology and Machine Learning)
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Abstract

The rapidly increasing use of the internet has led to an increase in new devices and technologies; however, attack and security violations have grown exponentially as well. In order to detect and prevent attacks, an Intrusion Detection System (IDS) is proposed using Logical Analysis of Data (LAD). Logical Analysis of Data is a data analysis technique that classifies data as either normal or an attack based on patterns. A pattern generation approach is discussed using the concept of Boolean functions. The IDS model is trained and tested using the Bot-IoT dataset. The model achieves an accuracy of 99.98%, and is able to detect new attacks with good precision and recall.
Keywords: Internet of Things (IoT); Intrusion Detection System (IDS); Logical Analysis of Data (LAD); pattern generation Internet of Things (IoT); Intrusion Detection System (IDS); Logical Analysis of Data (LAD); pattern generation

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MDPI and ACS Style

Chauhan, S.; Gangopadhyay, S.; Gangopadhyay, A.K. Intrusion Detection System for IoT Using Logical Analysis of Data and Information Gain Ratio. Cryptography 2022, 6, 62. https://doi.org/10.3390/cryptography6040062

AMA Style

Chauhan S, Gangopadhyay S, Gangopadhyay AK. Intrusion Detection System for IoT Using Logical Analysis of Data and Information Gain Ratio. Cryptography. 2022; 6(4):62. https://doi.org/10.3390/cryptography6040062

Chicago/Turabian Style

Chauhan, Sneha, Sugata Gangopadhyay, and Aditi Kar Gangopadhyay. 2022. "Intrusion Detection System for IoT Using Logical Analysis of Data and Information Gain Ratio" Cryptography 6, no. 4: 62. https://doi.org/10.3390/cryptography6040062

APA Style

Chauhan, S., Gangopadhyay, S., & Gangopadhyay, A. K. (2022). Intrusion Detection System for IoT Using Logical Analysis of Data and Information Gain Ratio. Cryptography, 6(4), 62. https://doi.org/10.3390/cryptography6040062

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