Cyber-physical security for IoT networks: a comprehensive review on traditional, blockchain and artificial intelligence based key-security
The recent years have garnered huge attention towards the Internet of Things (IoT) because
it enables its consumers to improve their lifestyles and professionally keep up with the …
it enables its consumers to improve their lifestyles and professionally keep up with the …
A survey study on trust-based security in Internet of Things: Challenges and issues
MH Shirvani, M Masdari - Internet of Things, 2023 - Elsevier
Abstract The Internet of Things (IoT) is an emerging communication technology which
connects all of the network-enabled devises in all of the world. It is being pervasively utilized …
connects all of the network-enabled devises in all of the world. It is being pervasively utilized …
A trust management model for IoT devices and services based on the multi-criteria decision-making approach and deep long short-term memory technique
Y Alghofaili, MA Rassam - Sensors, 2022 - mdpi.com
Recently, Internet of Things (IoT) technology has emerged in many aspects of life, such as
transportation, healthcare, and even education. IoT technology incorporates several tasks to …
transportation, healthcare, and even education. IoT technology incorporates several tasks to …
A cascaded federated deep learning based framework for detecting wormhole attacks in IoT networks
R Alghamdi, M Bellaiche - Computers & Security, 2023 - Elsevier
The growth of the internet over the years has resulted in massive use and spread of the
Internet of Things (IoT) in many areas. From home networks to industrial IoT, from medicine …
Internet of Things (IoT) in many areas. From home networks to industrial IoT, from medicine …
Data quality and trust: Review of challenges and opportunities for data sharing in iot
Existing research recognizes the critical role of quality data in the current big-data and
Internet of Things (IoT) era. Quality data has a direct impact on model results and hence …
Internet of Things (IoT) era. Quality data has a direct impact on model results and hence …
An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach
Abstract Wireless Sensor Networks (WSNs) are often used for critical applications where
trust and security are of paramount importance. Trust evaluation is one of the key …
trust and security are of paramount importance. Trust evaluation is one of the key …
A systematic analysis of deep learning methods and potential attacks in internet-of-things surfaces
The usage of intelligent IoT devices is exponentially rising, and so the possibility of attacks in
the IoT surfaces. The deep leaning algorithms are competent for directing the sanctuary …
the IoT surfaces. The deep leaning algorithms are competent for directing the sanctuary …
Data fusion and transfer learning empowered granular trust evaluation for Internet of Things
Abstract In the Internet of Things (IoT), a huge amount of valuable data is generated by
various IoT applications. As the IoT technologies become more complex, the attack methods …
various IoT applications. As the IoT technologies become more complex, the attack methods …
A survey on trust management for WBAN: Investigations and future directions
The rapid uptake of the Wireless Body Area Networks (WBAN) and their services poses
unprecedented security requirements. WBAN are evolving to support these requirements …
unprecedented security requirements. WBAN are evolving to support these requirements …
A trust prediction mechanism in edge communications using optimized support vector regression
NC Gowda, B Malakreddy - 2023 7th International conference …, 2023 - ieeexplore.ieee.org
The number of edge devices is increasing every day in the fog computing environment.
According to Gartner's prediction, around 42 billion edge devices will be involved in digital …
According to Gartner's prediction, around 42 billion edge devices will be involved in digital …