Timothy Lynar
Orcid: 0000-0001-7934-5658
According to our database1,
Timothy Lynar
authored at least 33 papers
between 2009 and 2025.
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Bibliography
2025
Applications of extended reality in pilot flight simulator training: a systematic review with meta-analysis.
Vis. Comput. Ind. Biomed. Art, December, 2025
A Quantized VAE-MLP Botnet Detection Model: A Systematic Evaluation of Quantization-Aware Training and Post-Training Quantization Strategies.
CoRR, November, 2025
Are GNNs Worth the Effort for IoT Botnet Detection? A Comparative Study of VAE-GNN vs. ViT-MLP and VAE-MLP Approaches.
CoRR, May, 2025
Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction.
CoRR, May, 2025
Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets.
CoRR, May, 2025
Preserving Seasonal and Trend Information: A Variational Autoencoder-Latent Space Arithmetic Based Approach for Non-stationary Learning.
CoRR, April, 2025
IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic.
CoRR, April, 2025
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder.
CoRR, April, 2025
ResDNViT: A hybrid architecture for Netflow-based attack detection using a residual dense network and Vision Transformer.
Expert Syst. Appl., 2025
2024
Beyond Words: Memetic Theory as a Lens to Expose Ideological Bias in Language Models.
Proceedings of the 11th International Conference on Soft Computing & Machine Intelligence, 2024
Proceedings of the 15th IEEE International Conference on Cognitive Infocommunications, 2024
2023
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security.
CoRR, 2023
Reinforcement Learning Agents Playing Ticket to Ride-A Complex Imperfect Information Board Game With Delayed Rewards.
IEEE Access, 2023
2022
Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems.
IEEE J. Biomed. Health Informatics, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Edge Intelligence-based Privacy Protection Framework for IoT-based Smart Healthcare Systems.
Proceedings of the IEEE INFOCOM 2022, 2022
Error Prevalence in NIDS datasets: A Case Study on CIC-IDS-2017 and CSE-CIC-IDS-2018.
Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022
2021
DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks.
Future Gener. Comput. Syst., 2021
IEEE Access, 2021
Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021
2019
Dynamic Edge Fabric EnvironmenT: Seamless and Automatic Switching among Resources at the Edge of IoT Network and Cloud.
Proceedings of the 3rd IEEE International Conference on Edge Computing, 2019
2017
Cognitive IoT Gateways: Automatic Task Sharing and Switching between Cloud and Edge/Fog Computing.
Proceedings of the Posters and Demos Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017
2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
2015
2013
Reducing energy consumption in distributed computing through economic resource allocation.
Int. J. Grid Util. Comput., 2013
2011
Int. J. Grid Util. Comput., 2011
2010
Int. J. Inf. Syst. Soc. Chang., 2010
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010
2009
Int. J. Comput. Appl. Technol., 2009
Impact of Node ranking on Outcomes of grid Resource allocation.
Proceedings of the 2009 International Conference on Grid Computing & Applications, 2009
Proceedings of the Seventh Australasian Symposium on Grid Computing and e-Research, 2009