Ahmad Zainudin

Orcid: 0000-0001-7941-9733

According to our database1, Ahmad Zainudin authored at least 20 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Sparsely Connected Low Complexity CNN for Unmanned Vehicles Detection-Sensing RF Signal.
IEEE Trans. Veh. Technol., October, 2024

Blockchain-Inspired Collaborative Cyber-Attacks Detection for Securing Metaverse.
IEEE Internet Things J., May, 2024

TSFed: A three-stage optimization mechanism for secure and efficient federated learning in industrial IoT networks.
Internet Things, 2024

A multi-MLP prediction for inventory management in manufacturing execution system.
Internet Things, 2024

PureFed: An Efficient Collaborative and Trustworthy Federated Learning Framework Based on Blockchain Network.
IEEE Access, 2024

Blockchain-aided Collaborative Threat Detection for Securing Digital Twin-based IIoT Networks.
Proceedings of the IEEE International Conference on Communications, 2024

Toward Fast and Accurate Sensor Data Prediction Using iDC-MLP Algorithm for Industrial IoT.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

Collaborative Decentralized Learning for Detecting Deepfake Videos in Entertainment.
Proceedings of the IEEE Gaming, Entertainment, and Media Conference, 2024

2023
Federated Learning Inspired Low-Complexity Intrusion Detection and Classification Technique for SDN-Based Industrial CPS.
IEEE Trans. Netw. Serv. Manag., September, 2023

An Efficient Hybrid-DNN for DDoS Detection and Classification in Software-Defined IIoT Networks.
IEEE Internet Things J., May, 2023

ACS: Accuracy-based client selection mechanism for federated industrial IoT.
Internet Things, April, 2023

Blockchain-aided Decentralized Collaborative Automatic Modulation Classification for Next-Generation Wireless Networks.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

Blockchain-based Federated Learning for Bearing Fault Detection in the Industrial Internet of Things.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

Blockchain-Based Decentralized Trust Aggregation for Federated Cyber-Attacks Classification in SDN-Enabled Maritime Transportation Systems.
Proceedings of the IEEE International Conference on Communications, 2023

2022
An Explainable Multi-Task Learning Approach for RF-based UAV Surveillance Systems.
Proceedings of the Thirteenth International Conference on Ubiquitous and Future Networks, 2022

FedDDoS: An Efficient Federated Learning-based DDoS Attacks Classification in SDN-Enabled IIoT Networks.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

RF Signal-Based Multipurpose UAV Surveillance System Using Deep Neural Network.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Towards Lightweight Intrusion Identification in SDN-based Industrial Cyber-Physical Systems.
Proceedings of the 27th Asia Pacific Conference on Communications, 2022

2021
Design and Implementation of Low-Cost Fog Computing Architecture for IoT-Based Applications.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

2014
Performance of MIMO-OFDM using convolution codes with QAM modulation.
Proceedings of the Sixth International Conference on Digital Image Processing, 2014


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