Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions

IH Sarker, AI Khan, YB Abushark, F Alsolami - Mobile Networks and …, 2023 - Springer
Abstract The Internet of Things (IoT) is one of the most widely used technologies today, and
it has a significant effect on our lives in a variety of ways, including social, commercial, and …

[HTML][HTML] Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective

IH Sarker - SN Computer Science, 2021 - Springer
The digital world has a wealth of data, such as internet of things (IoT) data, business data,
health data, mobile data, urban data, security data, and many more, in the current age of the …

[HTML][HTML] Machine learning for intelligent data analysis and automation in cybersecurity: current and future prospects

IH Sarker - Annals of Data Science, 2023 - Springer
Due to the digitization and Internet of Things revolutions, the present electronic world has a
wealth of cybersecurity data. Efficiently resolving cyber anomalies and attacks is becoming a …

Generalized quantum evidence theory

F Xiao - Applied Intelligence, 2023 - Springer
With the development of quantum decision making, how to bridge classical theory with
quantum framework has gained much attention in past few years. Recently, a complex …

Transparent digital twin for output control using belief rule base

L Chang, L Zhang, C Fu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A transparent digital twin (DT) is designed for output control using the belief rule base (BRB),
namely, DT-BRB. The goal of the transparent DT-BRB is not only to model the complex …

A framework and operational procedures for metaverses-based industrial foundation models

J Wang, Y Tian, Y Wang, J Yang… - … on Systems, Man …, 2022 - ieeexplore.ieee.org
Industrial processes are typical cyber–physical–social systems (CPSSs), where the effective
management of employees and the efficient control of machines play important roles …

A complex Jensen–Shannon divergence in complex evidence theory with its application in multi-source information fusion

W Fan, F Xiao - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Multi-source information fusion has attracted considerable attention in the few past years
and plays a great role in real applications. However, the uncertainty or conflict will make the …

Multi‐aspects AI‐based modeling and adversarial learning for cybersecurity intelligence and robustness: A comprehensive overview

IH Sarker - Security and Privacy, 2023 - Wiley Online Library
Due to the rising dependency on digital technology, cybersecurity has emerged as a more
prominent field of research and application that typically focuses on securing devices …

On the interpretability of belief rule-based expert systems

Y Cao, Z Zhou, C Hu, W He… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
As the generalization of fuzzy systems, the belief rule base (BRB) expert system is
transparent and interpretable. However, the interpretability of BRB has almost been ignored …

A generalized belief entropy with nonspecificity and structural conflict

M Zhou, SS Zhu, YW Chen, J Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The Dempster–Shafer (DS) evidence theory has been widely used in many fields from
probabilistic inference, information fusion to decision analysis due to its superiority to …