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SDN-Enabled Hybrid DL-Driven Framework for the Detection of Emerging Cyber Threats in IoT

https://doi.org/10.3390/electronics10080918

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The Internet of Things in an Enterprise Context

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Adversarial Attacks on SDN-Based Deep Learning IDS System

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Effects of cyber security knowledge on attack detection

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Challenges and solution for measuring available bandwidth in software defined networks

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SDN orchestration to combat evolving cyber threats in Internet of Medical Things (IoMT)

inferredcites →https://doi.org/10.1016/j.compeleceng.2017.02.026openalex-snapshot

Software defined wireless sensor networks application opportunities for efficient network management: A survey

inferredcites →https://doi.org/10.1016/j.future.2014.10.002openalex-snapshot

Abnormal traffic-indexed state estimation: A cyber–physical fusion approach for Smart Grid attack detection

inferredcites →https://doi.org/10.1016/j.neucom.2016.12.088openalex-snapshot

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inferredcites →https://doi.org/10.1016/j.neucom.2017.10.009openalex-snapshot

A survey on security control and attack detection for industrial cyber-physical systems

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Artificial intelligence enabled software‐defined networking: a comprehensive overview

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A Novel Intrusion Detection Model for a Massive Network Using Convolutional Neural Networks

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inferredcites →https://doi.org/10.1109/access.2020.3009849openalex-snapshot

Hybrid Deep Learning: An Efficient Reconnaissance and Surveillance Detection Mechanism in SDN

inferredcites →https://doi.org/10.1109/atnac.2017.8215418openalex-snapshot

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inferredcites →https://doi.org/10.1109/atnac.2018.8615255openalex-snapshot

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inferredcites →https://doi.org/10.1109/ccst.2019.8888419openalex-snapshot

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inferredcites →https://doi.org/10.1109/ceeict.2018.8628069openalex-snapshot

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inferredcites →https://doi.org/10.1109/iemcon.2018.8614759openalex-snapshot

Biologically-inspired SDN-based Intrusion Detection and Prevention Mechanism for Heterogeneous IoT Networks

inferredcites →https://doi.org/10.1109/iintec.2018.8695303openalex-snapshot

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inferredcites →https://doi.org/10.1109/ipact.2017.8245184openalex-snapshot

Improvement in the performance of deep neural network model using learning rate

inferredcites →https://doi.org/10.1109/jiot.2017.2734903openalex-snapshot

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A Novel Control Plane Optimization Strategy for Important Nodes in SDN-IoT Networks

inferredcites →https://doi.org/10.1109/mcom.2013.6461195openalex-snapshot

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Deep Learning for Signal Authentication and Security in Massive Internet-of-Things Systems

inferredcites →https://doi.org/10.1109/tii.2018.2789442openalex-snapshot

SDN-Enabled Multi-Attribute-Based Secure Communication for Smart Grid in IIoT Environment

inferredcites →https://doi.org/10.1109/tii.2018.2852491openalex-snapshot

Industrial Internet of Things: Challenges, Opportunities, and Directions

inferredcites →https://doi.org/10.1109/tii.2019.2917912openalex-snapshot

An SDN-Enabled Pseudo-Honeypot Strategy for Distributed Denial of Service Attacks in Industrial Internet of Things

inferredcites →https://doi.org/10.1109/vtcspring.2019.8746594openalex-snapshot

Crossfire Attack Detection Using Deep Learning in Software Defined ITS Networks

inferredcites →https://doi.org/10.1109/waina.2018.00172openalex-snapshot

A Deep Learning Framework to Enhance Software Defined Networks Security

inferredcites →https://doi.org/10.1145/3229565.3229568openalex-snapshot

Web-based Attacks to Discover and Control Local IoT Devices

inferredcites →https://doi.org/10.1145/3309194.3309199openalex-snapshot

Enabling Dynamic Network Access Control with Anomaly-based IDS and SDN

inferredcites →https://doi.org/10.1155/2019/3898951openalex-snapshot

An Insider Threat Detection Approach Based on Mouse Dynamics and Deep Learning

inferredcites →https://doi.org/10.1155/2019/6516253openalex-snapshot

Multiclass Classification Procedure for Detecting Attacks on MQTT‐IoT Protocol

inferredcites →https://doi.org/10.14257/ijsia.2014.8.1.23openalex-snapshot

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inferred← citeshttps://doi.org/10.1002/9781394303564.ch9openalex-snapshot

Blockchain and Digital Twin for Smart Grid

inferred← citeshttps://doi.org/10.1002/ett.70274openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10207-023-00764-1openalex-snapshot

SDN as a defence mechanism: a comprehensive survey

inferred← citeshttps://doi.org/10.1007/s10207-025-01162-5openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10586-023-04248-8openalex-snapshot

HybridRobustNet: enhancing detection of hybrid attacks in IoT networks through advanced learning approach

inferred← citeshttps://doi.org/10.1007/s10586-024-04320-xopenalex-snapshot

CyberDefender: an integrated intelligent defense framework for digital-twin-based industrial cyber-physical systems

inferred← citeshttps://doi.org/10.1007/s10664-023-10302-1openalex-snapshot

Deep learning techniques to detect cybersecurity attacks: a systematic mapping study

inferred← citeshttps://doi.org/10.1007/s10776-022-00561-yopenalex-snapshot

Security & Privacy in Software Defined Networks, Issues, Challenges and Cost of Developed Solutions: A Systematic Literature Review

inferred← citeshttps://doi.org/10.1007/s10922-022-09697-xopenalex-snapshot

Efficient Intelligent Intrusion Detection System for Heterogeneous Internet of Things (HetIoT)

inferred← citeshttps://doi.org/10.1007/s10922-025-09989-yopenalex-snapshot

Evaluating the Robustness of DL-Based AAD in SDN-IoT Networks Against OOD Data and Poisoning Attacks Using Autoencoders

inferred← citeshttps://doi.org/10.1007/s11042-023-15729-8openalex-snapshot

Software defined networks (SDNs) for environmental surveillance : A Survey

inferred← citeshttps://doi.org/10.1007/s11042-023-16715-wopenalex-snapshot

Heterogeneous IoT (HetIoT) security: techniques, challenges and open issues

inferred← citeshttps://doi.org/10.1007/s11042-024-20059-4openalex-snapshot

RETRACTED ARTICLE: Cyber-XAI-Block: an end-to-end cyber threat detection & fl-based risk assessment framework for iot enabled smart organization using xai and blockchain technologies

inferred← citeshttps://doi.org/10.1007/s11235-026-01421-3openalex-snapshot

A hybrid deep learning based intrusion detection framework to identify cyber attacks in edge-based IIoT

inferred← citeshttps://doi.org/10.1007/s11277-023-10769-7openalex-snapshot

Intelligent LSTM (iLSTM)-Security Model for HetIoT

inferred← citeshttps://doi.org/10.1007/s12083-025-01935-8openalex-snapshot

A hybrid software-defined networking approach for enhancing IoT cybersecurity with deep learning and blockchain in smart cities

inferred← citeshttps://doi.org/10.1007/s12083-025-02185-4openalex-snapshot

Blockchain-enabled deep learning techniques for providing security in wireless sensor networks

inferred← citeshttps://doi.org/10.1007/s13369-023-08075-2openalex-snapshot

A Comprehensive Analysis of Machine Learning- and Deep Learning-Based Solutions for DDoS Attack Detection in SDN

inferred← citeshttps://doi.org/10.1007/s13369-024-09680-5openalex-snapshot

HRL-DeepNet: A Hybrid Residual Layer Deep Neural Network for Cybersecurity Policy Modeling, Structuring, and Protecting Assets of Organizations

inferred← citeshttps://doi.org/10.1007/s13369-024-09748-2openalex-snapshot

Improved Particle Swarm Optimization based Bidirectional-Long Short-Term Memory for Intrusion Detection System in Internet of Vehicle

inferred← citeshttps://doi.org/10.1007/s42044-025-00386-xopenalex-snapshot

Mitigating DDoS attacks in software-defined networks: a systematic literature review of machine learning and deep learning approaches

inferred← citeshttps://doi.org/10.1016/j.adhoc.2022.103026openalex-snapshot

RBF-SVM kernel-based model for detecting DDoS attacks in SDN integrated vehicular network

inferred← citeshttps://doi.org/10.1016/j.adhoc.2023.103330openalex-snapshot

Intrusion detection system for cyberattacks in the Internet of Vehicles environment

inferred← citeshttps://doi.org/10.1016/j.comnet.2022.109269openalex-snapshot

An integrated approach explaining the detection of distributed denial of service attacks

inferred← citeshttps://doi.org/10.1016/j.cose.2022.102748openalex-snapshot

A new DDoS attacks intrusion detection model based on deep learning for cybersecurity

inferred← citeshttps://doi.org/10.1016/j.cose.2023.103347openalex-snapshot

Edge-HetIoT defense against DDoS attack using learning techniques

inferred← citeshttps://doi.org/10.1016/j.cose.2024.103907openalex-snapshot

Addressing security challenges in industry 4.0: AVA-MA approach for strengthening SDN-IoT network security

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134239openalex-snapshot

SentineLLM: An LLM-based intrusion detection framework for software-defined internet of things

inferred← citeshttps://doi.org/10.1016/j.iot.2025.101773openalex-snapshot

An innovative intrusion detection framework using GAN-augmented Deep Ensemble Neural Network for cross-domain IoT–cloud security

inferred← citeshttps://doi.org/10.1016/j.jisa.2025.104220openalex-snapshot

SoK: Systematic analysis of adversarial threats against deep learning approaches for autonomous anomaly detection systems in SDN-IoT networks

inferred← citeshttps://doi.org/10.1016/j.micpro.2022.104571openalex-snapshot

On improving the performance of DDoS attack detection system

inferred← citeshttps://doi.org/10.1016/j.solener.2023.111921openalex-snapshot

Digital twin-driven SDN for smart grid: A deep learning integrated blockchain for cybersecurity

inferred← citeshttps://doi.org/10.1038/s41598-022-16261-9openalex-snapshot

SALT: transfer learning-based threat model for attack detection in smart home

inferred← citeshttps://doi.org/10.1049/cmu2.70094openalex-snapshot

CDBi‐LSTM: A Hybrid Deep Learning Model With Attention‐Based Fusion for Efficient DDoS Detection in IoT Environments

inferred← citeshttps://doi.org/10.1057/s41288-022-00266-6openalex-snapshot

Cyber risk and cybersecurity: a systematic review of data availability

inferred← citeshttps://doi.org/10.1063/5.0261320openalex-snapshot

A sustainable intelligent intrusion detection system for smart consumer electronics network

inferred← citeshttps://doi.org/10.1080/03772063.2024.2351549openalex-snapshot

Innovative IoT Threat Detection: Weighted Variational Autoencoder-Based Hunter Prey Search Algorithm for Strengthening Cybersecurity

inferred← citeshttps://doi.org/10.1080/08839514.2022.2145634openalex-snapshot

Intelligent SDN Architecture With Fuzzy Neural Network and Blockchain for Monitoring Critical Events

inferred← citeshttps://doi.org/10.1109/access.2021.3109490openalex-snapshot

Detection and Classification of DDoS Flooding Attacks on Software-Defined Networks: A Case Study for the Application of Machine Learning

inferred← citeshttps://doi.org/10.1109/access.2022.3153716openalex-snapshot

Towards SDN-Enabled, Intelligent Intrusion Detection System for Internet of Things (IoT)

inferred← citeshttps://doi.org/10.1109/access.2022.3172304openalex-snapshot

Cyber Threats Detection in Smart Environments Using SDN-Enabled DNN-LSTM Hybrid Framework

inferred← citeshttps://doi.org/10.1109/access.2022.3181278openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/access.2023.3259982openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/access.2023.3267764openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/access.2025.3536638openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/etncc59188.2023.10284972openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icecet63943.2025.11472272openalex-snapshot

Improving SDN security against DDoS attacks with the XGBoost-DNN hybrid model

inferred← citeshttps://doi.org/10.1109/icicis58388.2023.10391158openalex-snapshot

A Three-layer Convolution Neural Network Approach for Intrusion Detection in IoT

inferred← citeshttps://doi.org/10.1109/icnetic59568.2023.00079openalex-snapshot

Research on Network Security Technology and Prevention Based on Big Data Analysis

inferred← citeshttps://doi.org/10.1109/icoeca68095.2026.11485561openalex-snapshot

An Efficient Hybrid Ensemble Intrusion Detection Framework for Resource-Constrained IoT Environments

inferred← citeshttps://doi.org/10.1109/iconat53423.2022.9725988openalex-snapshot

An Exploration Into Secure IoT Networks Using Deep Learning Methodologies

inferred← citeshttps://doi.org/10.1109/iotais67227.2025.11282138openalex-snapshot

AI-Powered Sparse Temporal Attention Framework for Robust LDAP Attack Detection in IoT Systems

inferred← citeshttps://doi.org/10.1109/jiot.2022.3196942openalex-snapshot

An Efficient Hybrid-DNN for DDoS Detection and Classification in Software-Defined IIoT Networks

inferred← citeshttps://doi.org/10.1109/ssd69655.2026.11559086openalex-snapshot

Cross-Validation Analysis of a Hybrid Deep Learning Model for Multi-Class DDoS Detection in SDN Networks

inferred← citeshttps://doi.org/10.1109/tce.2023.3277856openalex-snapshot

An Intelligent Intrusion Detection System for Smart Consumer Electronics Network

inferred← citeshttps://doi.org/10.1109/tce.2023.3283704openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tce.2024.3373126openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tce.2025.3603331openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tnse.2024.3483216openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/upcon59197.2023.10434923openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/wpmc55625.2022.10014866openalex-snapshot

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inferred← citeshttps://doi.org/10.1142/s021964922250071xopenalex-snapshot

A Hybrid Detection System for DDoS Attacks Based on Deep Sparse Autoencoder and Light Gradient Boost Machine

inferred← citeshttps://doi.org/10.1145/3640771.3640786openalex-snapshot

Towards Feature Selection for Detecting LDDoS in SD-IoT of Smart Grids: A Multi-correlation Information EA-based Method

inferred← citeshttps://doi.org/10.1145/3700838.3703671openalex-snapshot

Towards Zero Trust Security in SDN: A Multi-Layered Defense Strategy

inferred← citeshttps://doi.org/10.1155/2022/6096289openalex-snapshot

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inferred← citeshttps://doi.org/10.1155/2022/6510934openalex-snapshot

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inferred← citeshttps://doi.org/10.1155/int/2846238openalex-snapshot

Abnormal Traffic Detection Method Based on DCNN‐GRU Architecture in SDN

inferred← citeshttps://doi.org/10.1186/s13677-024-00722-9openalex-snapshot

Cyber attack detection in IOT-WSN devices with threat intelligence using hidden and connected layer based architectures

inferred← citeshttps://doi.org/10.1371/journal.pone.0322839openalex-snapshot

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inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140161openalex-snapshot

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inferred← citeshttps://doi.org/10.17148/ijarcce.2024.13421openalex-snapshot

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inferred← citeshttps://doi.org/10.21203/rs.3.rs-3013492/v1openalex-snapshot

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inferred← citeshttps://doi.org/10.21817/indjcse/2022/v13i6/221306129openalex-snapshot

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inferred← citeshttps://doi.org/10.32604/cmc.2023.038276openalex-snapshot

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inferred← citeshttps://doi.org/10.32604/cmc.2024.052994openalex-snapshot

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inferred← citeshttps://doi.org/10.32628/ijsrset229423openalex-snapshot

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inferred← citeshttps://doi.org/10.33262/rmc.v7i3.2844openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/a16040197openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/a17070290openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/electronics10111257openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/electronics10182228openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/electronics11121834openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/electronics15112376openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/fi15040122openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/s21144884openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/s22041582openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/s22155921openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/s22239416openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/s24196179openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/su14148374openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/su141710717openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/technologies13030121openalex-snapshot

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inferred← citeshttps://doi.org/10.34190/eccws.22.1.1085openalex-snapshot

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inferred← citeshttps://doi.org/10.35940/ijsce.a3523.0911121openalex-snapshot

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inferred← citeshttps://doi.org/10.36227/techrxiv.17153213.v1openalex-snapshot

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inferred← citeshttps://doi.org/10.3934/era.2023308openalex-snapshot

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inferred← citeshttps://doi.org/10.4018/978-1-6684-6914-9.ch010openalex-snapshot

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inferred← citeshttps://doi.org/10.4018/978-1-6684-6914-9.ch014openalex-snapshot

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inferred← citeshttps://doi.org/10.58564/ijser.2.3.2023.89openalex-snapshot

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inferred← citeshttps://doi.org/10.7287/peerj-cs.1366v0.1/reviews/1openalex-snapshot

Peer Review #1 of "Artificial intelligence-driven malware detection framework for internet of things environment (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1366v0.1/reviews/2openalex-snapshot

Peer Review #2 of "Artificial intelligence-driven malware detection framework for internet of things environment (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1366v0.1/reviews/3openalex-snapshot

Peer Review #3 of "Artificial intelligence-driven malware detection framework for internet of things environment (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1366v0.2/reviews/2openalex-snapshot

Peer Review #2 of "Artificial intelligence-driven malware detection framework for internet of things environment (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1366v0.2/reviews/3openalex-snapshot

Peer Review #3 of "Artificial intelligence-driven malware detection framework for internet of things environment (v0.2)"

inferred← citeshttps://doi.org/10.7717/peerj-cs.1366openalex-snapshot

Artificial intelligence-driven malware detection framework for internet of things environment

inferred← citeshttps://doi.org/10.7717/peerj-cs.1674openalex-snapshot

An intelligent zero trust secure framework for software defined networking

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.