Cybersecurity threats, countermeasures and mitigation techniques on the IoT: Future research directions
E Altulaihan, MA Almaiah, A Aljughaiman - Electronics, 2022 - mdpi.com
The Internet of Things (IoT) interconnects physical and virtual objects embedded with
sensors, software, and other technologies, which exchange data using the Internet. This …
sensors, software, and other technologies, which exchange data using the Internet. This …
An overview of the architecture of home energy management system as microgrids, automation systems, communication protocols, security, and cyber challenges
K Taghizad-Tavana, M Ghanbari-Ghalehjoughi… - Sustainability, 2022 - mdpi.com
Today, the role of smart machines in our lives is valuable. With the advancement of digital
technologies, such as the internet of things (IoT), many embedded systems have been …
technologies, such as the internet of things (IoT), many embedded systems have been …
Risk Assessment of Heterogeneous IoMT Devices: A Review
B Shanmugam, S Azam - Technologies, 2023 - mdpi.com
The adaptation of the Internet of Medical Things (IoMT) has provided efficient and timely
services and has transformed the healthcare industry to a great extent. Monitoring patients …
services and has transformed the healthcare industry to a great extent. Monitoring patients …
[HTML][HTML] A survey-based approach of framework development for improving the application of internet of things in the construction industry of Malaysia
The progress of our society is reflected in the building sector, which emphasises the
necessity of constantly modifying our instruments to take advantage of new opportunities. An …
necessity of constantly modifying our instruments to take advantage of new opportunities. An …
A systematic security assessment and review of internet of things in the context of authentication
Abstract The Internet of Things is emerging globally as an intriguing trend expected to
connect 15 billion devices by the end of 2022. Its ability to bring intelligence and automation …
connect 15 billion devices by the end of 2022. Its ability to bring intelligence and automation …
Deep Reinforcement Learning for intrusion detection in Internet of Things: Best practices, lessons learnt, and open challenges
Abstract The Internet of Things (IoT) scenario places important challenges even for deep
learning-based intrusion detection systems. IoTs are highly heterogeneous networks in …
learning-based intrusion detection systems. IoTs are highly heterogeneous networks in …
[HTML][HTML] EBAKE-SE: A novel ECC-based authenticated key exchange between industrial IoT devices using secure element
Abstract Industrial IoT (IIoT) aims to enhance services provided by various industries, such
as manufacturing and product processing. IIoT suffers from various challenges, and security …
as manufacturing and product processing. IIoT suffers from various challenges, and security …
Blockchain-aware rollbackable data access control for iot-enabled digital twin
The rapid development of Internet of Things (IoT) enables digital twin (DT) technology to
precisely represent a real product in a virtual space by generating a multitude of IoT data …
precisely represent a real product in a virtual space by generating a multitude of IoT data …
A comprehensive study on cyber attacks in communication networks in water purification and distribution plants: challenges, vulnerabilities, and future prospects
In recent years, the Internet of Things (IoT) has had a big impact on both industry and
academia. Its profound impact is particularly felt in the industrial sector, where the Industrial …
academia. Its profound impact is particularly felt in the industrial sector, where the Industrial …
Balanced k-star: An explainable machine learning method for internet-of-things-enabled predictive maintenance in manufacturing
B Ghasemkhani, O Aktas, D Birant - Machines, 2023 - mdpi.com
Predictive maintenance (PdM) combines the Internet of Things (IoT) technologies with
machine learning (ML) to predict probable failures, which leads to the necessity of …
machine learning (ML) to predict probable failures, which leads to the necessity of …