P2TIF: A Blockchain and Deep Learning Framework for Privacy-Preserved Threat Intelligence in Industrial IoT
Author:
Affiliation:
1. National Institute of Technology Raipur, Raipur, India
2. Department of Mathematics and Computer Science, Brandon University, Brandon, MB, Canada
Funder
Mathematical Research Impact Centric Support
Science and Engineering Research Board
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/9795344/09678009.pdf?arnumber=9678009
Reference35 articles.
1. P2IDF: A Privacy-Preserving based Intrusion Detection Framework for Software Defined Internet of Things-Fog (SDIoT-Fog)
2. BDTwin: An Integrated Framework for Enhancing Security and Privacy in Cybertwin-driven Automotive Industrial Internet of Things
3. POSTER
4. TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems
5. A Privacy-Preserving-Based Secure Framework Using Blockchain-Enabled Deep-Learning in Cooperative Intelligent Transport System
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