Towards automatic fingerprinting of IoT devices in the cyberspace

K Yang, Q Li, L Sun - Computer networks, 2019 - Elsevier
Nowadays, the cyberspace consists of an increasing number of IoT devices, such as net-
printers, webcams, and routers. Illuminating the nature of online devices would provide …

Iot device identification using deep learning

J Kotak, Y Elovici - … Conference on Computational Intelligence in Security …, 2021 - Springer
The growing use of IoT devices in organizations has increased the number of attack vectors
available to attackers due to the less secure nature of the devices. The widely adopted bring …

IoT security vulnerabilities and defensive measures in Industry 4.0

K Manasa, LMI Leo Joseph - Artificial Intelligence and Cyber Security in …, 2023 - Springer
Abstract The Internet of things (IoT) has been emerging technology for the past decade. IoT
can be defined as the network connecting objects to the Internet in the physical world. IoT …

EvoIoT: An evolutionary IoT and non-IoT classification model in open environments

L Fan, L He, E Dong, J Yang, C Li, J Lin, Z Wang - Computer Networks, 2022 - Elsevier
IoT device identification is essential for both device asset management and security
management. IoT device identification in open environments is the key to its application in …

Latency performance modelling in hyperledger fabric blockchain: Challenges and directions with an IoT perspective

J Enare Abang, H Takruri, R Al-Zaidi… - Internet of …, 2024 - salford-repository.worktribe.com
Blockchain is a decentralized and distributed ledger technology that enables secure and
transparent recording of transactions across multiple participants. Hyperledger Fabric (HLF) …

IoT device type identification using training deep quantum neural networks optimized with a chimp optimization algorithm for enhancing IoT security

CP Shirley, J Kumar, K Pitambar Rane… - Journal of High …, 2024 - content.iospress.com
IoT networks can be defined as groups of physically connected things and devices that can
connect to the Internet and exchange data with one another. Since enabling an increasing …

Enhancing IoT device security: CNN-SVM hybrid approach for real-time detection of DoS and DDoS attacks

Q Al-Na'amneh, M Aljaidi, A Nasayreh… - Journal of Intelligent …, 2024 - degruyter.com
Abstract The Internet of Things (IoT) has expanded into a realm of cutting-edge integrated
solutions across numerous applications, following three stages of development …

A group-based IoT devices classification through network traffic analysis based on machine learning approach

A Bassene, B Gueye - Towards new e-Infrastructure and e-Services for …, 2021 - Springer
With the rapid growth of the Internet of Things (IoT), the deployment, management, and
identification of IoT devices that are connected to networks become a big concern …

A Novel Transfer Learning Model for Intrusion Detection Systems in IoT Networks

L Vu, QU Nguyen, DT Hoang, DN Nguyen… - Emerging Trends in …, 2022 - Springer
Abstract Internet of Things, or IoT has been playing an important part in human's lives.
Nonetheless, the rapid growth of IoT-based services may lead to an increase in IoT-based …

Brittle features of device authentication

W Garcia, A Chhotaray, JI Choi, SK Adari… - Proceedings of the …, 2021 - dl.acm.org
Authenticating a networked device relies on identifying its unique characteristics. Recent
device fingerprinting proposals demonstrate that device activity, such as network traffic, can …