Jinxin Liu

Orcid: 0000-0002-2482-9548

Affiliations:
  • University of Ottawa, School of Electrical Engineering and Computer Science, Ottawa, ON, Canada


According to our database1, Jinxin Liu authored at least 12 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Deep Dict: Deep Learning-Based Lossy Time Series Compressor for IoT Data.
Proceedings of the IEEE International Conference on Communications, 2024

2023
SCVIC-TS-2022: Network intrusion data with original raw network packets.
Dataset, September, 2023

Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats.
ACM Comput. Surv., 2023

Multidomain transformer-based deep learning for early detection of network intrusion.
Proceedings of the IEEE Global Communications Conference, 2023

2022

SCVIC-CIDS-2022: Bridging Networks and Hosts via Machine Learning-Based Intrusion Detection.
Dataset, September, 2022

SCVIC-CIDS-2021: Collaborative Feature Maps of Networks and Hosts for Intrusion Detection.
Dataset, August, 2022

A New Realistic Benchmark for Advanced Persistent Threats in Network Traffic.
IEEE Netw. Lett., 2022

Risk-aware Fine-grained Access Control in Cyber-physical Contexts.
DTRAP, 2022

Adversarial Machine Learning: A Multilayer Review of the State-of-the-Art and Challenges for Wireless and Mobile Systems.
IEEE Commun. Surv. Tutorials, 2022

Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection.
Proceedings of the IEEE Global Communications Conference, 2022

2020
Machine learning-driven intrusion detection for Contiki-NG-based IoT networks exposed to NSL-KDD dataset.
Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning, 2020


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