Research
Our research interests encompass a diverse array of subjects, notably Computer Networks Security, Machine Learning, Internet of Things (IoT), Cloud Computing, and Bioinformatics. In addition to our field of study, we are interested in exploring other research areas, and open to ideas across all avenues of science.
Highlighted
Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities using N-Shot Learning
The International FLAIRS Conference Proceedings
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14 May 2025
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doi:10.32473/flairs.38.1.138858
All
2025
Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities using N-Shot Learning
The International FLAIRS Conference Proceedings
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14 May 2025
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doi:10.32473/flairs.38.1.138858
FSProtoTransfer: Synergizing Few-Shot, Prototypical Networks, and Transfer Learning for Intrusion Detection in VANETs
The International FLAIRS Conference Proceedings
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14 May 2025
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doi:10.32473/flairs.38.1.138952
2023
FS3: Few-Shot and Self-Supervised Framework for Efficient Intrusion Detection in Internet of Things Networks
Annual Computer Security Applications Conference
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04 Dec 2023
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doi:10.1145/3627106.3627193
A deep learning approach for intrusion detection in Internet of Things using focal loss function
Internet of Things
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01 Jul 2023
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doi:10.1016/j.iot.2023.100699
Conditional Privacy-preserving Authentication and Message Dissemination Scheme using Timestamp based Pseudonyms for VANETs
2023 International Wireless Communications and Mobile Computing (IWCMC)
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19 Jun 2023
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doi:10.1109/IWCMC58020.2023.10182609
Deep Learning-Based Intrusion Detection Methods for Computer Networks and Privacy
University of Kentucky Libraries
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01 Jan 2023
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doi:10.13023/etd.2023.292
2022
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks
IEEE Access
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01 Jan 2022
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doi:10.1109/ACCESS.2022.3205337
2021
Intrusion detection based on Machine Learning techniques in computer networks
Internet of Things
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01 Dec 2021
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doi:10.1016/j.iot.2021.100462
Intrusion detection based on Machine Learning techniques in computer networks
2019
Identifying emerging phenomenon in long temporal phenotyping experiments
Bioinformatics
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15 Jul 2019
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doi:10.1093/bioinformatics/btz559
2018

Identifying Emerging Phenomenon in Plant Long Temporal Phenotyping Experiments
Cold Spring Harbor Laboratory
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26 Oct 2018
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doi:10.1101/454686
ISSN 2334-0762 (Online) | Proceedings of the ... International Florida Artificial Intelligence Research Society Conference | The ISSN Portal
[no publisher info]
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[no date info]
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issn:2334-0762