Research graph
References from BXLL: A Bi-LSTM stacking ensemble with SDN-Driven honeypot engagement for adaptive IoT intrusion detection. Local targets link to admitted publications; unresolved targets remain external evidence.
Rt-a3c: real-time asynchronous advantage actor–critic for optimally defending malicious attacks in edge-enabled industrial internet of things
2025 · External reference
Challenges in the adaptation of iot technology
2021 · External reference
Machine learning-inspired intrusion detection system for iot: security issues and future challenges
10.1016/j.compeleceng.2025.110265 · 2025 · External reference
Ai techniques for iot-based ddos attack detection: taxonomies, comprehensive review and research challenges
10.1016/j.cosrev.2024.100631 · 2024 · External reference
A comprehensive survey of cybersecurity threats, attacks, and effective countermeasures in industrial internet of things
10.3390/technologies11060161 · 2023 · External reference
Sgd3qn: joint stochastic games and dueling double deep q-networks for defending malware propagation in edge intelligence-enabled internet of things
10.1109/tifs.2024.3420233 · 2024 · External reference
Internet of things: security and solutions survey
10.3390/s22197433 · 2022 · External reference
Learning-based intrusion detection for high-dimensional imbalanced traffic
10.1016/j.comcom.2023.10.018 · 2023 · External reference
Enhancing internet of things security using performance gradient boosting for network intrusion detection systems
10.1016/j.aej.2024.12.106 · 2025 · External reference
Explainable intrusion detection for cyber defences in the internet of things: opportunities and solutions
10.1109/comst.2023.3280465 · 2023 · External reference
A comprehensive survey on machine learning-based intrusion detection systems for secure communication in internet of things
10.1155/2023/8981988 · 2023 · External reference
Internet of things with deep learning techniques for pandemic detection: a comprehensive review of current trends and open issues
10.3390/electronics13132630 · 2024 · External reference
Securing internet of things using machine and deep learning methods: a survey
10.1007/s10586-024-04509-0 · 2024 · External reference
Artificial intelligence-enabled cybersecurity and internet of things applications in smart cities
2025 · External reference
Use of machine learning and deep learning in intrusion detection for iot
10.4236/ait.2025.152002 · 2025 · External reference
Novel intrusion detection strategies with optimal hyper parameters for industrial internet of things based on stochastic games and double deep q-networks
10.1109/jiot.2024.3406386 · 2024 · External reference
Analytical validation and integration of CIC-bell-DNS-EXF-2021 dataset on security information & event management
10.1109/access.2024.3409413 · 2024 · External reference
Unresolved reference
2002 · External reference
Unresolved reference
External reference
Internet holes—part 11: internet lightning rods
10.1016/1353-4858(96)83738-x · 1996 · External reference
A comprehensive survey on cyber deception techniques to improve honeypot performance
10.1016/j.cose.2024.103792 · 2024 · External reference
Leveraging computational intelligence techniques for defensive deception: a review, recent advances, open problems and future directions
10.3390/s22062194 · 2022 · External reference
Cyber deception: taxonomy, state of the art, frameworks, trends, and open challenges
2025 · External reference
Deep q-network-based open-set intrusion detection solution for industrial internet of things
10.1109/jiot.2023.3333903 · 2023 · External reference
A survey on hybrid-CNN and LLMs for intrusion detection systems: recent iot datasets
10.1109/access.2024.3506604 · 2024 · External reference
A collaborative cyber incident management system for european interconnected critical infrastructures
2017 · External reference
Designing energy-aware collaborative intrusion detection in iot networks
2024 · External reference
An intelligent deployment policy for deception resources based on reinforcement learning
10.1109/access.2020.2974786 · 2020 · External reference
A survey on advanced persistent threats: techniques, solutions, challenges, and research opportunities
10.1109/comst.2019.2891891 · 2019 · External reference
Collaborative intrusion detection in resource-constrained iot environments: challenges, methods, and future directions a review
2025 · External reference
Hybrid machine learning model for efficient botnet attack detection in iot environment
2024 · External reference
Comparative analysis of intrusion detection systems and machine learning-based model analysis through decision tree
10.1109/access.2023.3296444 · 2023 · External reference
A deep learning approach for the detection of intrusions with an ensemble feature selection method
10.1007/s42979-024-03288-0 · 2024 · External reference
Dl-sklstm approach for cyber security threats detection in 5g enabled iiot
2024 · External reference
Zero-day attack detection: a systematic literature review
10.1007/s10462-023-10437-z · 2023 · External reference
Machine learning approaches to securing iot networks: a comprehensive review of recent advances
2024 · External reference
Attack classification of an intrusion detection system using deep learning and hyperparameter optimization
2021 · External reference
A multilayered deep learning framework for cyber attack detection and mitigation in a heterogeneous IIot ecosystem
2026 · External reference
Bpso-ahdl-ids: binary particle swarm optimization-based automated hybrid deep learning model for intrusion detection of internet of things
2025 · External reference
Anomaly detection in industrial control systems based on cross-domain representation learning
2024 · External reference
Deep GraphSAGE enhancements for intrusion detection: analyzing attention mechanisms and GCN integration
2025 · External reference
Adversarial robustness evaluation of hybrid CNN-LSTM-Transformer NIDS on evolving threats
2026 · External reference
A cooperative intrusion detection system for the internet of things using convolutional neural networks and black hole optimization
10.3390/s24154766 · 2024 · External reference
Federated learning for iot intrusion detection
10.3390/ai4030028 · 2023 · External reference
Federated learning on non-IID data: a survey
10.1016/j.neucom.2021.07.098 · 2021 · External reference
Data poisoning attacks against federated learning systems
2020 · External reference
Deception techniques in computer security: a research perspective
10.1145/3214305 · 2018 · External reference
T-CAD: A threshold based collaborative DDos attack detection in multiple autonomous systems
2020 · External reference
Challenge-based collaborative intrusion detection networks under passive message fingerprint attack: a further analysis
2019 · External reference
Throughput and latency of virtual switching with open vswitch: a quantitative analysis
10.1007/s10922-017-9417-0 · 2018 · External reference
An empirical model of packet processing delay of the open vswitch
2017 · External reference
Unsw-nb15: a comprehensive data set for network intrusion detection systems (unsw-nb15 network data set)
2015 · External reference
X-IIoTID: a connectivity-agnostic and device-agnostic intrusion data set for industrial internet of things
10.1109/jiot.2021.3102056 · 2021 · External reference
Evaluating standard feature sets towards increased generalisability and explainability of ML-based network intrusion detection
10.1016/j.bdr.2022.100359 · 2022 · External reference
Lightgbm: a highly efficient gradient boosting decision tree
2017 · External reference
A tutorial and use case example of the extreme gradient boosting (XGBoost) artificial intelligence algorithm for drug development applications
10.1111/cts.70172 · 2025 · External reference
Machine learning and deep learning approaches for cybersecurity: a review
10.1109/access.2022.3151248 · 2022 · External reference
A hybrid CNN+ LSTM-based intrusion detection system for industrial iot networks
2023 · External reference
Optimizing random forests to detect intrusion in the internet of things
10.1016/j.compeleceng.2024.109860 · 2024 · External reference
A high performance hybrid LSTM CNN secure architecture for iot environments using deep learning
10.1038/s41598-025-94500-5 · 2025 · External reference
Zero-day attack detection: a systematic literature review
10.1007/s10462-023-10437-z · ExternalCitation · doi-reference
Securing internet of things using machine and deep learning methods: a survey
10.1007/s10586-024-04509-0 · ExternalCitation · doi-reference
Throughput and latency of virtual switching with open vswitch: a quantitative analysis
10.1007/s10922-017-9417-0 · ExternalCitation · doi-reference
A deep learning approach for the detection of intrusions with an ensemble feature selection method
10.1007/s42979-024-03288-0 · ExternalCitation · doi-reference
Internet holes—part 11: internet lightning rods
10.1016/1353-4858(96)83738-x · ExternalCitation · doi-reference
Enhancing internet of things security using performance gradient boosting for network intrusion detection systems
10.1016/j.aej.2024.12.106 · ExternalCitation · doi-reference
Evaluating standard feature sets towards increased generalisability and explainability of ML-based network intrusion detection
10.1016/j.bdr.2022.100359 · ExternalCitation · doi-reference
Learning-based intrusion detection for high-dimensional imbalanced traffic
10.1016/j.comcom.2023.10.018 · ExternalCitation · doi-reference
Optimizing random forests to detect intrusion in the internet of things
10.1016/j.compeleceng.2024.109860 · ExternalCitation · doi-reference
Machine learning-inspired intrusion detection system for iot: security issues and future challenges
10.1016/j.compeleceng.2025.110265 · ExternalCitation · doi-reference
A comprehensive survey on cyber deception techniques to improve honeypot performance
10.1016/j.cose.2024.103792 · ExternalCitation · doi-reference
Ai techniques for iot-based ddos attack detection: taxonomies, comprehensive review and research challenges
10.1016/j.cosrev.2024.100631 · ExternalCitation · doi-reference
Federated learning on non-IID data: a survey
10.1016/j.neucom.2021.07.098 · ExternalCitation · doi-reference
A high performance hybrid LSTM CNN secure architecture for iot environments using deep learning
10.1038/s41598-025-94500-5 · ExternalCitation · doi-reference
An intelligent deployment policy for deception resources based on reinforcement learning
10.1109/access.2020.2974786 · ExternalCitation · doi-reference
Machine learning and deep learning approaches for cybersecurity: a review
10.1109/access.2022.3151248 · ExternalCitation · doi-reference
Comparative analysis of intrusion detection systems and machine learning-based model analysis through decision tree
10.1109/access.2023.3296444 · ExternalCitation · doi-reference
Analytical validation and integration of CIC-bell-DNS-EXF-2021 dataset on security information & event management
10.1109/access.2024.3409413 · ExternalCitation · doi-reference
A survey on hybrid-CNN and LLMs for intrusion detection systems: recent iot datasets
10.1109/access.2024.3506604 · ExternalCitation · doi-reference
A survey on advanced persistent threats: techniques, solutions, challenges, and research opportunities
10.1109/comst.2019.2891891 · ExternalCitation · doi-reference
Explainable intrusion detection for cyber defences in the internet of things: opportunities and solutions
10.1109/comst.2023.3280465 · ExternalCitation · doi-reference
X-IIoTID: a connectivity-agnostic and device-agnostic intrusion data set for industrial internet of things
10.1109/jiot.2021.3102056 · ExternalCitation · doi-reference
Deep q-network-based open-set intrusion detection solution for industrial internet of things
10.1109/jiot.2023.3333903 · ExternalCitation · doi-reference
Novel intrusion detection strategies with optimal hyper parameters for industrial internet of things based on stochastic games and double deep q-networks
10.1109/jiot.2024.3406386 · ExternalCitation · doi-reference
Sgd3qn: joint stochastic games and dueling double deep q-networks for defending malware propagation in edge intelligence-enabled internet of things
10.1109/tifs.2024.3420233 · ExternalCitation · doi-reference
A tutorial and use case example of the extreme gradient boosting (XGBoost) artificial intelligence algorithm for drug development applications
10.1111/cts.70172 · ExternalCitation · doi-reference
Deception techniques in computer security: a research perspective
10.1145/3214305 · ExternalCitation · doi-reference
A comprehensive survey on machine learning-based intrusion detection systems for secure communication in internet of things
10.1155/2023/8981988 · ExternalCitation · doi-reference
Federated learning for iot intrusion detection
10.3390/ai4030028 · ExternalCitation · doi-reference
Internet of things with deep learning techniques for pandemic detection: a comprehensive review of current trends and open issues
10.3390/electronics13132630 · ExternalCitation · doi-reference
Leveraging computational intelligence techniques for defensive deception: a review, recent advances, open problems and future directions
10.3390/s22062194 · ExternalCitation · doi-reference
Internet of things: security and solutions survey
10.3390/s22197433 · ExternalCitation · doi-reference
A cooperative intrusion detection system for the internet of things using convolutional neural networks and black hole optimization
10.3390/s24154766 · ExternalCitation · doi-reference
A comprehensive survey of cybersecurity threats, attacks, and effective countermeasures in industrial internet of things
10.3390/technologies11060161 · ExternalCitation · doi-reference
Use of machine learning and deep learning in intrusion detection for iot
10.4236/ait.2025.152002 · ExternalCitation · doi-reference
