Retracted: Development of intrusion detection system using machine learning for the analytics of Internet of Things enabled enterprises
Raghavendra S. Dhabliya D. Mondal D. Omarov B. Sankaran K.S. Dhablia A. Chaudhury S. Shabaz M.
August 2023John Wiley and Sons Inc
IET Communications
2023#17Issue 131619 - 1625 pp.
The above article from IET Communications, published online on 28 October 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Interim Editor-in-Chief, Jian Ren, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journals peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.
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Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India
Department of Information Technology, Vishwakarma Institute of Information Technology, Maharashtra, Pune, India
Artificial Intelligence and Data Science, D. Y. Patil College of Engineering and Innovation, Talegaon, India
Department of Computer Engineering, Al-Farabi Kazakh National University, Almaty, Kazakhstan
Department of ECE, Hindustan Institute of Technology and Science, Chennai, India
Senior Engineering Lead, Persistent Systems Limited, Nagpur, India
Department of Computer Science and Engineering, University of Engineering and Management, Kolkata, India
Hydraulic and Water Resources Engineering, Arba Minch University, Arba Minch, Ethiopia
Department of Information and Communication Technology
Department of Information Technology
Artificial Intelligence and Data Science
Department of Computer Engineering
Department of ECE
Senior Engineering Lead
Department of Computer Science and Engineering
Hydraulic and Water Resources Engineering
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