We stand with Ukraine

We stand with Ukraine

Jiaqi Huang

Orcid: 0000-0002-9794-2103

Affiliations:

University of Central Missouri, Department of Computer Science and Cybersecurity, MO, USA
University of Nebraska-Lincoln, Department of Electrical and Computer Engineering, NE, USA (PhD 2020)

According to our database¹, Jiaqi Huang authored at least 21 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Semantic Validation of Packer Identification Tools: Characterization, Repair, and Downstream Impact.

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CoRR, May, 2026

BatchMDS: A Time-Efficient Misbehavior Detection System in Internet of Vehicles.

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IEEE Internet Things J., 2026

2025

Feature-Oriented IoT Malware Analysis: Extraction, Classification, and Future Directions.

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CoRR, September, 2025

Software Vulnerability Analysis Across Programming Language and Program Representation Landscapes: A Survey.

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CoRR, March, 2025

Detecting Backdoor Attacks via Similarity in Semantic Communication Systems.

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CoRR, February, 2025

Unveiling Malware Patterns: A Self-analysis Perspective.

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CoRR, January, 2025

Unveiling Malware Visual Patterns: A Self-Analysis Perspective.

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IEEE Trans. Inf. Forensics Secur., 2025

Feature-Centric Approaches to Android Malware Analysis: A Survey.

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Comput., 2025

In-Progress: Augmenting Explainable AI with LLMs to Enhance User Trust in Intelligent Transportation Systems.

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Proceedings of the 2025 IEEE Security and Privacy, 2025

2024

Enhancing Malware Classification via Self-Similarity Techniques.

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IEEE Trans. Inf. Forensics Secur., 2024

Semi-supervised Federated Learning for Misbehavior Detection of BSMs in Vehicular Networks.

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Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Leveraging Explainable AI for Actionable Insights in IoT Intrusion Detection.

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Proceedings of the 19th Annual System of Systems Engineering Conference, 2024

Poster: Machine Learning Based False Position Detection Using Data-to-Image Transformation.

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Proceedings of the IEEE International Conference on Mobility, 2024

2023

Enhanced and Explainable Deep Learning-Based Intrusion Detection in IoT Networks.

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Benjamin Van Ravesteyn

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Proceedings of the IEEE Military Communications Conference, 2023

2022

A Multi-objective Model for Misbehavior Detection in IoV.

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Proceedings of the IEEE Global Communications Conference, 2022

2021

A Privacy-Preserving Scheme for Location-Based Services in the Internet of Vehicles.

[DOI]

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Rose Qingyang Hu

J. Commun. Inf. Networks, 2021

2020

Secure and Efficient Privacy-Preserving Authentication Scheme for 5G Software Defined Vehicular Networks.

[DOI]

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Rose Qingyang Hu

IEEE Trans. Veh. Technol., 2020

A Secure and Efficient Handover Authentication and Key Management Protocol for 5G Networks.

[DOI]

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J. Commun. Inf. Networks, 2020

Security Provision for Vehicular Fog Computing.

[DOI]

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Rose Qingyang Hu

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

2019

A Vehicle-Assisted Data Offloading in Mobile Edge Computing Enabled Vehicular Networks.

[DOI]

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Rose Qingyang Hu

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

A Relay Selection Scheme to Prolong Connection Time for Public Safety Communications.

[DOI]

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Rose Qingyang Hu

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Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

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