NDLI: Generating realistic IoT-based IDS dataset centred on fuzzy qualitative modelling for cyber-physical systems

Content Provider	IET Digital Library
Author	Khan, Izhar Ahmed Pi, Dechang Bhatia, Ajeet Kumar Khan, Nasrullah Haider, Waqas Wahab, Abdul
Abstract	Before using any dataset in the intrusion detection system (IDS), it is crucial to acquire an accurate assessment of its efficiency. Nevertheless, the key complications presently met by the researchers are the deficiency of accessibility of any genuine assessment dataset and efficient metric for evaluating the enumerated quality of realism (QoR) of any internet of things (IoT)-based IDS dataset. It is challenging to obtain and gather data from real-world company setups owing to commercial continuousness and concerns such as integrity. This Letter presents a Sugeno fuzzy inference machine (SFIM)-based metric method for assessing the QoR of existing IoT IDS datasets. Secondly, based on the results of the proposed metric, a synthetically precise next level IoT-based IDS dataset is aimed and produced, and an initial assessment showed to support the development of forthcoming IoT-IDS. This created dataset comprises both regular and irregular replications of present IoT-based network events happening at the precarious cyber structure in different companies. Finally, the QoR of the generated dataset is evaluated by means of the proposed metric and is compared with state-of-the-art commonly available compelling datasets for validating its supremacy.
Starting Page	441
Ending Page	444
Page Count	4
ISSN	00135194
Volume Number	56
e-ISSN	1350911X
Issue Number	Issue 9, Apr (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/56/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2019.4158
Journal	Electronics Letters
Publisher Date	2020-02-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cyber-physical System Data Analysis Data Security Fuzzy Reasoning Generated Dataset Genuine Assessment Dataset Inference Mechanisms Internet of Things Intrusion Detection System IoT-based Network Events Irregular Replications Knowledge Engineering Technique Pervasive Computing QoR Quality of Realism Regular Replications Security of Data Sugeno Fuzzy Inference Machine-based Metric Method Synthetically Precise Next Level IoT-based IDS Dataset Ubiquitous
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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