A new cloud-based cyber-attack detection architecture for hyper-automation process in industrial internet of things

A Comprehensive Survey of Recent Internet Measurement Techniques for Cyber Security

(2023) Morteza Safaei Pour et al.   COMPUTERS & SECURITY

An Ensemble Tree-Based Model for Intrusion Detection in Industrial Internet of Things Networks

(2023) Joseph Bamidele Awotunde et al.   Applied Sciences-Basel

Res-TranBiLSTM: An intelligent approach for intrusion detection in the Internet of Things

(2023) Shiyu Wang et al.   Computer Networks

Artificial intelligence enabled Luong Attention and Hosmer Lemeshow Regression Window‐based attack detection in 6G

(2023) B. Bhuvaneshwari et al.   INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS

FD‐DBN: Flow directed deep belief network for accurate anomaly detection in cloud computing

(2023) Banavathu Rajarao et al.   INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS

Comparative Study of AI-Enabled DDoS Detection Technologies in SDN

(2023) Kwang-Man Ko et al.   Applied Sciences-Basel

Towards an Intelligent Intrusion Detection System to Detect Malicious Activities in Cloud Computing

(2023) Hanaa Attou et al.   Applied Sciences-Basel

Developing an Integrated Framework for Securing Internet of Things Traffic in Smart Cities Using Machine Learning Techniques

(2023) Moody Alhanaya et al.   Applied Sciences-Basel

XGBoost for Imbalanced Multiclass Classification-Based Industrial Internet of Things Intrusion Detection Systems

(2022) Thi-Thu-Huong Le et al.   Sustainability

Deep learning enabled class imbalance with sand piper optimization based intrusion detection for secure cyber physical systems

(2022) Anwer Mustafa Hilal et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Microcontroller Unit Chip Temperature Fingerprint Informed Machine Learning for IIoT Intrusion Detection

(2022) Tingting Wang et al.   IEEE Transactions on Industrial Informatics

Intelligent Cyber Attack Detection and Classification for Network-Based Intrusion Detection Systems

(2021) Nuno Oliveira et al.   Applied Sciences-Basel

Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process

(2021) Kyung Keun Yun et al.   EXPERT SYSTEMS WITH APPLICATIONS

XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks

(2021) Izhar Ahmed Khan et al.   Future Generation Computer Systems-The International Journal of eScience

An Intrusion Detection Mechanism for Secured IoMT Framework Based on Swarm-Neural Network

(2021) Sudarshan Nandy et al.   IEEE Journal of Biomedical and Health Informatics

Improved intrusion detection method for communication networks using association rule mining and artificial neural networks

(2020) Fatemeh Safara et al.   IET Communications

GBDT-MO: Gradient-Boosted Decision Trees for Multiple Outputs

(2020) Zhendong Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Ensemble Bagged Tree Based Classification for Reducing Non-Technical Losses in Multan Electric Power Company of Pakistan

(2019) Saeed et al.   Electronics

Machine Learning Based Intrusion Detection Systems for IoT Applications

(2019) Abhishek Verma et al.   WIRELESS PERSONAL COMMUNICATIONS

An Ensemble Intrusion Detection Technique based on proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things

(2018) Nour Moustafa et al.   IEEE Internet of Things Journal