Evaluating Performance of Scalable Fair Clustering Machine Learning Techniques in Detecting Cyber Attacks in Industrial Control Systems

Handa, Akansha; Semwal, Prabhat

doi:10.1007/978-3-030-74753-4_7

Cited by 7 publications

(2 citation statements)

References 41 publications

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“…The second part is ranking, which is used to know the importance of the attributes. The ranking method can use statistics or can be based on the information theory [26,27].…”

Section: Machine Learning Classifiersmentioning

confidence: 99%

A Machine Learning-Based Intrusion Detection System for IoT Electric Vehicle Charging Stations (EVCSs)

et al. 2023

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The demand for electric vehicles (EVs) is growing rapidly. This requires an ecosystem that meets the user’s needs while preserving security. The rich data obtained from electric vehicle stations are powered by the Internet of Things (IoT) ecosystem. This is achieved through us of electric vehicle charging station management systems (EVCSMSs). However, the risks associated with cyber-attacks on IoT systems are also increasing at the same pace. To help in finding malicious traffic, intrusion detection systems (IDSs) play a vital role in traditional IT systems. This paper proposes a classifier algorithm for detecting malicious traffic in the IoT environment using machine learning. The proposed system uses a real IoT dataset derived from real IoT traffic. Multiple classifying algorithms are evaluated. Results were obtained on both binary and multiclass traffic models. Using the proposed algorithm in the IoT-based IDS engine that serves electric vehicle charging stations will bring stability and eliminate a substantial number of cyberattacks that may disturb day-to-day life activities.

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“…The second part is ranking, which is used to know the importance of the attributes. The ranking method can use statistics or can be based on the information theory [26,27].…”

Section: Machine Learning Classifiersmentioning

confidence: 99%

A Machine Learning-Based Intrusion Detection System for IoT Electric Vehicle Charging Stations (EVCSs)

et al. 2023

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“…Industrial control: the IoT is used in manufacturing settings for air quality monitoring, temperature tracking, ozone detection, and emergency alerts[27]-[29].…”

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confidence: 99%

Long range technology for internet of things: review, challenges, and future directions

A. Al-Shareeda,

Abdullah Alsadhan,

H. Qasim

et al. 2023

Bulletin EEI

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New networking issues are presented by the increasing need for a wide variety of applications, which has spurred the creation of a new internet of things (IoT) paradigm, such as long range (LoRa). The LoRa protocol uses a patented kind of spread spectrum modulation to provide low-power, long-range communication. In this paper, we provide a comprehensive review of LoRa-IoT in terms of IoT applications, LoRa class, security and privacy requirements, and the evolution of LoRa technology. This review analysis and compares long range wide area network (LoRaWAN) to wireless technology (e.g., Bluetooth, LoRa, 5G, Sigfox, long term evolution-M (LTE-M), Wi-Fi, Z-wave, Zigbee) and provides a list of environment simulators (e.g., OMNeT++, MATLAB, ns-3, SimPy) to carry out experiment for LoRa-IoT. Finally, this review does not only review literature recently studied for LoRa-IoT but also discusses challenges and future directions.

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Fusion of deep learning based cyberattack detection and classification model for intelligent systems

2022

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Evaluating Performance of Scalable Fair Clustering Machine Learning Techniques in Detecting Cyber Attacks in Industrial Control Systems

Cited by 7 publications

References 41 publications

A Machine Learning-Based Intrusion Detection System for IoT Electric Vehicle Charging Stations (EVCSs)

A Machine Learning-Based Intrusion Detection System for IoT Electric Vehicle Charging Stations (EVCSs)

Long range technology for internet of things: review, challenges, and future directions

Fusion of deep learning based cyberattack detection and classification model for intelligent systems

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