Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Network Traffic Fingerprinting for IIoT Device Identification: A Survey — Chuan Sheng (2025) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Network Traffic Fingerprinting for IIoT Device Identification: A Survey
Shared by
Qinglong Qinglong Han
Swinburne University of Technology
Network Traffic Fingerprinting for IIoT Device Identification: A Survey
IEEE Transactions on Industrial Informatics: 1-14
Article
2025
English
Authors
+4 more
CS
Chuan Sheng
WZ
Wei Zhou
Qinglong Qinglong Han
Swinburne University Of Technology
Abstract
1 min read
As the Industrial Internet of Things (IIoT) continues to expand, the need for effective device identification becomes critical for securing industrial environme
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2022
Deep AI-Powered Cyber Threat Analysis in IIoT
Iram Bibi
,
Adnan Akhunzada
,
Neeraj Kumar
Article
2020
Blockchain-Based Massive Data Dissemination Handling in IIoT Environment
Aparna Kumari
,
Sudeep Tanwar
,
Sudhanshu Tyagi
,
Neeraj Kumar
Preprint
2021
Federated Learning for Industrial Internet of Things in Future\n Industries
Dinh C. Nguyen
,
Ming Ding
,
Pubudu N. Pathirana
,
Aruna Seneviratne
,
Jun Li
,
Dusit Niyato
,
H Vincent Vincent Poort
Article
2023
A Deep-Learning-Integrated Blockchain Framework for Securing Industrial IoT
Ahamed Aljuhani
,
Prabhat Kumar
,
Rehab Alanazi
,
Turki Albalawi
,
Okba Taouali
,
A.K.M. Najmul Islam
,
Neeraj Kumar
,
Mamoun Alazab
Article
2022
REAP-IIoT: Resource-Efficient Authentication Protocol for the Industrial Internet of Things
Muhammad Tanveer
,
Ahmed Alkhayyat
,
Abd Ullah Khan
,
Neeraj Kumar
,
Abdullah G. Alharbi
Discussion(0)
No comments yet. Be the first to comment.