Jinxin Liu

According to our database, Jinxin Liu authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats.

Zhiyan Chen, Jinxin Liu, Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Petar Djukic

ACM Comput. Surv., 2023

Multidomain transformer-based deep learning for early detection of network intrusion.

Jinxin Liu, Murat Simsek, Michele Nogueira, Burak Kantarci

Proceedings of the IEEE Global Communications Conference, 2023

2022

SCVIC-APT-2021.

Jinxin Liu, Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Mehran Bagheri, Petar Djukic

Dataset, September, 2022

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

Jinxin Liu, Murat Simsek, Burak Kantarci, Mehran Bagheri, Petar Djukic

Dataset, September, 2022

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

Jinxin Liu, Murat Simsek, Burak Kantarci, Mehran Bagheri, Petar Djukic

Dataset, August, 2022

A New Realistic Benchmark for Advanced Persistent Threats in Network Traffic.

Jinxin Liu, Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Mehran Bagheri, Petar Djukic

IEEE Netw. Lett., 2022

Adversarial Machine Learning: A Multilayer Review of the State-of-the-Art and Challenges for Wireless and Mobile Systems.

Jinxin Liu, Michele Nogueira, Johan Fernandes, Burak Kantarci

IEEE Commun. Surv. Tutorials, 2022

Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection.

Jinxin Liu, Murat Simsek, Burak Kantarci, Mehran Bagheri, Petar Djukic

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.

Jinxin Liu, Burak Kantarci, Carlisle Adams

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning, 2020