Securing Industrial Internet of Things Against Botnet Attacks Using Hybrid Deep Learning Approach
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Securing Industrial Internet of Things Against Botnet Attacks Using Hybrid Deep Learning Approach
Authors
Keywords
-
Journal
IEEE Transactions on Network Science and Engineering
Volume 10, Issue 5, Pages 2952-2963
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-04-23
DOI
10.1109/tnse.2022.3168533
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- NOMA-Enabled Backscatter Communications for Green Transportation in Automotive-Industry 5.0
- (2022) Wali Ullah Khan et al. IEEE Transactions on Industrial Informatics
- Joint Spectrum and Energy Optimization of NOMA-Enabled Small-Cell Networks With QoS Guarantee
- (2021) Wali Ullah Khan et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Energy-Efficient Resource Allocation for 6G Backscatter-Enabled NOMA IoV Networks
- (2021) Wali Ullah Khan et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Learning-Based Resource Allocation for Backscatter-Aided Vehicular Networks
- (2021) Wali Ullah Khan et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- An Experimental Analysis of Security Vulnerabilities in Industrial IoT Devices
- (2020) Xingbin Jiang et al. ACM Transactions on Internet Technology
- An Improved LDA-Based ELM Classification for Intrusion Detection Algorithm in IoT Application
- (2020) Dehua Zheng et al. SENSORS
- Reinforcement Learning in Blockchain-Enabled IIoT Networks: A Survey of Recent Advances and Open Challenges
- (2020) Furqan Jameel et al. Sustainability
- Spectral Efficiency Optimization for Next Generation NOMA-Enabled IoT Networks
- (2020) Wali Ullah Khan et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection
- (2019) Amaal Al Shorman et al. Journal of Ambient Intelligence and Humanized Computing
- A hybrid deep learning model for efficient intrusion detection in big data environment
- (2019) Mohammad Mehedi Hassan et al. INFORMATION SCIENCES
- A Comprehensive Survey on Attacks, Security Issues and Blockchain Solutions for IoT and IIoT
- (2019) Jayasree Sengupta et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Robust detection for network intrusion of industrial IoT based on multi-CNN fusion
- (2019) Yanmiao Li et al. MEASUREMENT
- The industrial internet of things (IIoT): An analysis framework
- (2018) Hugh Boyes et al. COMPUTERS IN INDUSTRY
- Methods for interpreting and understanding deep neural networks
- (2018) Grégoire Montavon et al. DIGITAL SIGNAL PROCESSING
- Distributed attack detection scheme using deep learning approach for Internet of Things
- (2018) Abebe Abeshu Diro et al. Future Generation Computer Systems-The International Journal of eScience
- Evaluating deep learning approaches to characterize and classify the DGAs at scale
- (2018) R. Vinayakumar et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Deep neural networks for bot detection
- (2018) Sneha Kudugunta et al. INFORMATION SCIENCES
- Botnet detection based on network flow summary and deep learning
- (2018) Abdurrahman Pektaş et al. International Journal of Network Management
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Botnets: A survey
- (2012) Sérgio S.C. Silva et al. Computer Networks
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now