A survey on metaverse: Fundamentals, security, and privacy

Y Wang, Z Su, N Zhang, R Xing, D Liu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Metaverse, as an evolving paradigm of the next-generation Internet, aims to build a fully
immersive, hyper spatiotemporal, and self-sustaining virtual shared space for humans to …

A survey of honeypots and honeynets for internet of things, industrial internet of things, and cyber-physical systems

J Franco, A Aris, B Canberk… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT), the Industrial Internet of Things (IIoT), and Cyber-Physical
Systems (CPS) have become essential for our daily lives in contexts such as our homes …

DÏoT: A federated self-learning anomaly detection system for IoT

TD Nguyen, S Marchal, M Miettinen… - 2019 IEEE 39th …, 2019 - ieeexplore.ieee.org
IoT devices are increasingly deployed in daily life. Many of these devices are, however,
vulnerable due to insecure design, implementation, and configuration. As a result, many …

Audi: Toward autonomous iot device-type identification using periodic communication

S Marchal, M Miettinen, TD Nguyen… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
IoT devices are being widely deployed. But the huge variance among them in the level of
security and requirements for network resources makes it unfeasible to manage IoT …

Security and privacy in IoT using machine learning and blockchain: Threats and countermeasures

N Waheed, X He, M Ikram, M Usman… - ACM computing …, 2020 - dl.acm.org
Security and privacy of users have become significant concerns due to the involvement of
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …

Machine and deep learning for iot security and privacy: applications, challenges, and future directions

S Bharati, P Podder - Security and communication networks, 2022 - Wiley Online Library
The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …

Machine learning enabled industrial iot security: Challenges, trends and solutions

C Ni, SC Li - Journal of Industrial Information Integration, 2024 - Elsevier
Abstract Introduction: The increasingly integrated Industrial IoT (IIoT) with industrial systems
brings benefits such as intelligent analytics, predictive maintenance, and remote monitoring …

A survey of smart home iot device classification using machine learning-based network traffic analysis

H Jmila, G Blanc, MR Shahid, M Lazrag - IEEE Access, 2022 - ieeexplore.ieee.org
Smart home IoT devices lack proper security, raising safety and privacy concerns. One-size-
fits-all network administration is ineffective because of the diverse QoS requirements of IoT …

Z-iot: Passive device-class fingerprinting of zigbee and z-wave iot devices

L Babun, H Aksu, L Ryan, K Akkaya… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
In addition to traditional networking devices (eg, gateways, firewalls), current corporate and
industrial networks integrate resource-limited Internet of Things (IoT) devices like smart …

Locality-sensitive iot network traffic fingerprinting for device identification

B Charyyev, MH Gunes - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Engineered systems get smarter with computing capabilities, particularly through a multitude
of Internet-of-Things (IoT) devices. IoT devices, however, are prone to be compromised as …