RRCNN: Request Response-Based Convolutional Neural Network for ICS Network Traffic Anomaly Detection
Source abstract
Abstract
Nowadays, industrial control system (ICS) has begun to integrate with the Internet. While the Internet has brought convenience to ICS, it has also brought severe security concerns. Traditional ICS network traffic anomaly dete... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Network Security and Intrusion Detection · Internet Traffic Analysis and Secure E-voting · Anomaly Detection Techniques and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (30)
Show source-provided references
1. An intrusion detection method for industrial control systems based on bidirectional simple recurrent unit10.1016/j.compeleceng.2021.107049 ↗
2. Recent advances in machine learning-based anomaly detection for industrial control networks
3. Security for industrial communication systems10.1109/JPROC.2005.849714 ↗
4. Industrial internet of things: Challenges, opportunities, and directions10.1109/TII.2018.2852491 ↗
5. Multi-level anomaly detection in industrial control systems via package signatures and LSTM networks
6. Review of PLC security issues in industrial control system
7. Stuxnet: Dissecting a cyberwarfare weapon10.1109/MSP.2011.67 ↗
8. Toward security monitoring of industrial cyber-physical systems via hierarchically distributed intrusion detection10.1016/j.eswa.2020.113578 ↗
9. Threat analysis of blackenergy malware for synchrophasor based real-time control and monitoring in smart grid
10. Industrial control systems: Cyberattack trends and countermeasures10.1016/j.comcom.2020.03.007 ↗
11. Cyber security and privacy issues in industrial internet of things10.32604/csse.2021.015206 ↗
12. Deepiot. IDS: Hybrid deep learning for enhancing IoT network intrusion detection10.32604/cmc.2021.016074 ↗
13. Intrusion detection using a new hybrid feature selection model10.32604/iasc.2021.016140 ↗
14. Modbus/TCP communication anomaly detection based on PSO-SVM10.4028/www.scientific.net/AMM.490-491.1745 ↗
15. A retrofit network intrusion detection system for MODBUS RTU and ASCII industrial control systems
16. A hybrid association rule-based method to detect and classify botnets
17. A survey of deep learning-based network anomaly detection10.1007/s10586-017-1117-8 ↗
18. Industrial control system network intrusion detection by telemetry analysis10.1109/TDSC.2015.2443793 ↗
19. An industrial network intrusion detection algorithm based on multifeature data clustering optimization model10.1109/TII.2019.2946791 ↗
20. A fast intra coding algorithm for HEVC by jointly utilizing naive Bayesian and SVM10.1007/s11042-020-08882-x ↗
21. Deep-learning-based network intrusion detection for SCADA systems
22. Network data management model based on naïve Bayes classifier and deep neural networks in heterogeneous wireless networks10.1016/j.compeleceng.2019.02.015 ↗
23. Detecting cyber attacks in industrial control systems using convolutional neural networks
24. A novel intrusion detection algorithm based on long short term memory network10.32604/jqc.2020.010819 ↗
25. Flow-based intrusion detection algorithm for supervisory control and data acquisition systems: A real-time approach10.1049/cps2.12016 ↗
26. Providing {SCADA} network data sets for intrusion detection research
27. Characterization of encrypted and vpn traffic using time-related
28. Characterization of tor traffic using time based features
29. PBCNN: Packet bytes-based convolutional neural network for network intrusion detection10.1016/j.comnet.2021.108117 ↗
30. Deeplearning model used in text classification