Development of intrusion detection system using machine learning for the analytics of Internet of Things enabled enterprises-Reference-Cited by-同舟云学术

Development of intrusion detection system using machine learning for the analytics of Internet of Things enabled enterprises

Published:2022-10-28 Issue: Volume: Page:
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

S. Raghavendra¹,Dhabliya Dharmesh²,Mondal Dipannita³,Omarov Batyrkhan⁴,Sankaran Krishnan Sakthidasan⁵,Dhablia Anishkumar⁶,Chaudhury Sushovan⁷,Shabaz Mohammad⁸^ORCID

Affiliation:

1. Department of Information and Communication TechnologyManipal Institute of TechnologyManipal Academy of Higher Education ManipalIndia

2. Department of Information Technology Vishwakarma Institute of Information Technology PuneMaharashtraIndia

3. Artificial Intelligence and Data ScienceD. Y. Patil College of Engineering and Innovation TalegaonIndia

4. Department of Computer Engineering Al‐Farabi Kazakh National University AlmatyKazakhstan

5. Department of ECEHindustan Institute of Technology and Science ChennaiIndia

6. Senior Engineering LeadPersistent Systems Limited NagpurIndia

7. Department of Computer Science and Engineering University of Engineering and Management KolkataIndia

8. Hydraulic and Water Resources Engineering Arba Minch University Arba MinchEthiopia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12530

Reference24 articles.

1. Adaptive anomaly detection framework model objects in cyberspace;Alkahtani H.;Appl. Bionics Biomech.,2020

2. Intrusion Detection in Industrial Internet of Things Network-Based on Deep Learning Model with Rule-Based Feature Selection

3. Big Data for Cybersecurity: Vulnerability Disclosure Trends and Dependencies

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