Lab of Innovations in Cybersecurity, Computer networks, and Communication (ICCC) SEECS, University of North Dakota

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TABLE Game 1 Game 2 Game 3 Total
Anna 144 123 218 485
Bill 90 175 120 385
Cara 102 214 233 549

It was the best of times it was the worst of times. It was the age of wisdom, it was the age of foolishness. It was the spring of hope, it was the winter of despair.

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Stage Direct Products ATP Yields
Glycolysis
2 ATP  
2 NADH 3–5 ATP
Pyruvaye oxidation 2 NADH 5 ATP
Citric acid cycle

2 ATP  
6 NADH 15 ATP
2 FADH 3 ATP
30–32 ATP    

ab=cb

2n13

abf(x)dx.

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List

List citations

2024

Towards Quality Controllable Data Synthesis: A Case Study on Synthesizing Network Intrusions
Fuhao Li, Hongyu Wu, Qinxuan Shi, Sicong Shao, Jielun Zhang
2024 Cyber Awareness and Research Symposium (CARS)   ·   28 Oct 2024   ·   doi:10.1109/cars61786.2024.10778825
Masked Autoencoder for Data Recovery in Polymer Research: Mitigating Data Integrity Threats
Bruno Saidou Fonkeng, Fuhao Li, Binglin Sui, Jielun Zhang
2024 Cyber Awareness and Research Symposium (CARS)   ·   28 Oct 2024   ·   doi:10.1109/cars61786.2024.10778772
Exploring the Effectiveness of Synthetic Data in Network Intrusion Detection through XAI
Mohammad Ali, Jielun Zhang
2024 Cyber Awareness and Research Symposium (CARS)   ·   28 Oct 2024   ·   doi:10.1109/cars61786.2024.10778756
Explainable Artificial Intelligence Enabled Intrusion Detection in the Internet of Things
Mohammad Ali, Jielun Zhang
Lecture Notes in Networks and Systems   ·   01 Jan 2024   ·   doi:10.1007/978-3-031-67447-1_30

2023

Seamless Wireless Communication Platform for Internet of Things Applications
Venkataramani Kumar, Jiahui Yu, Fuhao Li, Jielun Zhang, Feng Ye, Sanjeevi Karri, Guru Subramanyam
IEEE Wireless Communications   ·   01 Dec 2023   ·   doi:10.1109/MWC.006.2200097
Autonomous unknown-application filtering and labeling for DL-based traffic classifier update
[no author info]
arXiv   ·   29 Aug 2023   ·   eid:2-s2.0-85093999948
Towards Detection of Zero-Day Botnet Attack in IoT Networks Using Federated Learning
Jielun Zhang, Shicong Liang, Feng Ye, Rose Qingyang Hu, Yi Qian
ICC 2023 - IEEE International Conference on Communications   ·   28 May 2023   ·   doi:10.1109/icc45041.2023.10279423
Sustaining the High Performance of AI-Based Network Traffic Classification Models
Jielun Zhang, Fuhao Li, Feng Ye
IEEE/ACM Transactions on Networking   ·   01 Apr 2023   ·   doi:10.1109/TNET.2022.3203227

2022

Network traffic clustering with QoS-awareness
Jielun Zhang, Fuhao Li, Feng Ye
China Communications   ·   01 Mar 2022   ·   doi:10.23919/JCC.2022.03.015

2021

Improvement on a Traffic Data Generator for Networking AI Algorithm Development
Khalil Alsulami, Jielun Zhang, Feng Ye
2021 IEEE Global Communications Conference (GLOBECOM)   ·   01 Dec 2021   ·   doi:10.1109/GLOBECOM46510.2021.9685616
A Machine Learning Approach to Modulation Detection in Wireless Communications
Venkataramani Kumar, Fuhao Li, Jielun Zhang, Feng Ye, Guru Subramanyam
NAECON 2021 - IEEE National Aerospace and Electronics Conference   ·   16 Aug 2021   ·   doi:10.1109/NAECON49338.2021.9696420
A Real Application Enabled Traffic Generator for Networking AI Model Development
Khalil Alsulami, Jielun Zhang, Feng Ye
ICC 2021 - IEEE International Conference on Communications   ·   01 Jun 2021   ·   doi:10.1109/ICC42927.2021.9500976

2020

Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update
Jielun Zhang, Fuhao Li, Feng Ye, Hongyu Wu
IEEE INFOCOM 2020 - IEEE Conference on Computer Communications   ·   01 Jul 2020   ·   doi:10.1109/INFOCOM41043.2020.9155292
An Ensemble-based Network Intrusion Detection Scheme with Bayesian Deep Learning
Jielun Zhang, Fuhao Li, Feng Ye
ICC 2020 - 2020 IEEE International Conference on Communications (ICC)   ·   01 Jun 2020   ·   doi:10.1109/ICC40277.2020.9149402
Intelligent and Application-Aware Network Traffic Prediction in Smart Access Gateways
Jielun Zhang, Feng Ye, Yi Qian
IEEE Network   ·   01 May 2020   ·   doi:10.1109/MNET.001.1900513

2019

Autonomous Model Update Scheme for Deep Learning Based Network Traffic Classifiers
Jielun Zhang, Fuhao Li, Hongyu Wu, Feng Ye
2019 IEEE Global Communications Conference (GLOBECOM)   ·   01 Dec 2019   ·   doi:10.1109/GLOBECOM38437.2019.9014036
A UAV Based Multi-object Detection Scheme to Enhance Road Condition Monitoring and Control for Future Smart Transportation
Jian Yang, Jielun Zhang, Feng Ye, Xiaohui Cheng
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering   ·   01 Jan 2019   ·   doi:10.1007/978-3-030-22971-9_23

2018

A Distributed Network QoE Measurement Framework for Smart Networks in Smart Cities
Jielun Zhang, Feng Ye, Yi Qian
2018 IEEE International Smart Cities Conference (ISC2)   ·   01 Sep 2018   ·   doi:10.1109/ISC2.2018.8656854

List projects

Project 1
Project 1 2023

Descriptions reserved for Project 1.

Project X
Project X 2023

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List blog posts

2024

Mohammad Ali and Dr. Jielun Zhang attended ISICN 2024 in San Juan, Puerto Rico

Mohammad Ali (Left) & Dr. Jielun Zhang at ISICN 2024.

Mohammad Ali and Bruno Fonkeng presented their poster at 2024 RRV ACS Conference

Mohammad Ali (Left) & Bruno Fonkeng (right) were introducing their work to other researchers.

Dr. Zhang received Seed Award for Researcher at Junior Level

Dr. Zhang received Seed Award for Researcher at Junior Level (SARJ) from the University of South Alabama – a sub award under NSF-2218046.

2023

Dr. Zhang received the Early Career Scholars award from UND VPRED!

Project funded: AI-Driven Advanced Nanomaterials Discovery for Biomedical Applications, 01/2024 - 12/2024 (Co-PI: Jielun Zhang)

Mohammad Ali won the 1st prize in ChatGPT poster content in CARS 2023!

3rd Annual Hybrid Cybersecurity Awareness and Research Symposium in Grand Forks

ICCC Lab site is online

ICCC Lab website is now online with limited information available.

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A Small Card A cool card

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Tip Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Help Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

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Code

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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Nulla facilisi etiam dignissim diam quis. Id aliquet lectus proin nibh nisl condimentum id venenatis a. Tristique magna sit amet purus gravida quis blandit turpis cursus. Ultrices eros in cursus turpis massa tincidunt dui ut ornare. A cras semper auctor neque vitae tempus quam pellentesque nec. At tellus at urna condimentum mattis pellentesque. Ipsum consequat nisl vel pretium. Ultrices mi tempus imperdiet nulla malesuada pellentesque elit eget gravida. Integer vitae justo eget magna fermentum iaculis eu non diam. Mus mauris vitae ultricies leo integer malesuada nunc vel. Leo integer malesuada nunc vel risus. Ornare arcu odio ut sem nulla pharetra. Purus semper eget duis at tellus at urna condimentum. Enim neque volutpat ac tincidunt vitae semper quis lectus.

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Grid of citations

2024

Towards Quality Controllable Data Synthesis: A Case Study on Synthesizing Network Intrusions
Fuhao Li, Hongyu Wu, Qinxuan Shi, Sicong Shao, Jielun Zhang
2024 Cyber Awareness and Research Symposium (CARS)   ·   28 Oct 2024   ·   doi:10.1109/cars61786.2024.10778825
Masked Autoencoder for Data Recovery in Polymer Research: Mitigating Data Integrity Threats
Bruno Saidou Fonkeng, Fuhao Li, Binglin Sui, Jielun Zhang
2024 Cyber Awareness and Research Symposium (CARS)   ·   28 Oct 2024   ·   doi:10.1109/cars61786.2024.10778772
Exploring the Effectiveness of Synthetic Data in Network Intrusion Detection through XAI
Mohammad Ali, Jielun Zhang
2024 Cyber Awareness and Research Symposium (CARS)   ·   28 Oct 2024   ·   doi:10.1109/cars61786.2024.10778756
Explainable Artificial Intelligence Enabled Intrusion Detection in the Internet of Things
Mohammad Ali, Jielun Zhang
Lecture Notes in Networks and Systems   ·   01 Jan 2024   ·   doi:10.1007/978-3-031-67447-1_30

2023

Seamless Wireless Communication Platform for Internet of Things Applications
Venkataramani Kumar, Jiahui Yu, Fuhao Li, Jielun Zhang, Feng Ye, Sanjeevi Karri, Guru Subramanyam
IEEE Wireless Communications   ·   01 Dec 2023   ·   doi:10.1109/MWC.006.2200097
Autonomous unknown-application filtering and labeling for DL-based traffic classifier update
[no author info]
arXiv   ·   29 Aug 2023   ·   eid:2-s2.0-85093999948
Towards Detection of Zero-Day Botnet Attack in IoT Networks Using Federated Learning
Jielun Zhang, Shicong Liang, Feng Ye, Rose Qingyang Hu, Yi Qian
ICC 2023 - IEEE International Conference on Communications   ·   28 May 2023   ·   doi:10.1109/icc45041.2023.10279423
Sustaining the High Performance of AI-Based Network Traffic Classification Models
Jielun Zhang, Fuhao Li, Feng Ye
IEEE/ACM Transactions on Networking   ·   01 Apr 2023   ·   doi:10.1109/TNET.2022.3203227

2022

Network traffic clustering with QoS-awareness
Jielun Zhang, Fuhao Li, Feng Ye
China Communications   ·   01 Mar 2022   ·   doi:10.23919/JCC.2022.03.015

2021

Improvement on a Traffic Data Generator for Networking AI Algorithm Development
Khalil Alsulami, Jielun Zhang, Feng Ye
2021 IEEE Global Communications Conference (GLOBECOM)   ·   01 Dec 2021   ·   doi:10.1109/GLOBECOM46510.2021.9685616
A Machine Learning Approach to Modulation Detection in Wireless Communications
Venkataramani Kumar, Fuhao Li, Jielun Zhang, Feng Ye, Guru Subramanyam
NAECON 2021 - IEEE National Aerospace and Electronics Conference   ·   16 Aug 2021   ·   doi:10.1109/NAECON49338.2021.9696420
A Real Application Enabled Traffic Generator for Networking AI Model Development
Khalil Alsulami, Jielun Zhang, Feng Ye
ICC 2021 - IEEE International Conference on Communications   ·   01 Jun 2021   ·   doi:10.1109/ICC42927.2021.9500976

2020

Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update
Jielun Zhang, Fuhao Li, Feng Ye, Hongyu Wu
IEEE INFOCOM 2020 - IEEE Conference on Computer Communications   ·   01 Jul 2020   ·   doi:10.1109/INFOCOM41043.2020.9155292
An Ensemble-based Network Intrusion Detection Scheme with Bayesian Deep Learning
Jielun Zhang, Fuhao Li, Feng Ye
ICC 2020 - 2020 IEEE International Conference on Communications (ICC)   ·   01 Jun 2020   ·   doi:10.1109/ICC40277.2020.9149402
Intelligent and Application-Aware Network Traffic Prediction in Smart Access Gateways
Jielun Zhang, Feng Ye, Yi Qian
IEEE Network   ·   01 May 2020   ·   doi:10.1109/MNET.001.1900513

2019

Autonomous Model Update Scheme for Deep Learning Based Network Traffic Classifiers
Jielun Zhang, Fuhao Li, Hongyu Wu, Feng Ye
2019 IEEE Global Communications Conference (GLOBECOM)   ·   01 Dec 2019   ·   doi:10.1109/GLOBECOM38437.2019.9014036
A UAV Based Multi-object Detection Scheme to Enhance Road Condition Monitoring and Control for Future Smart Transportation
Jian Yang, Jielun Zhang, Feng Ye, Xiaohui Cheng
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering   ·   01 Jan 2019   ·   doi:10.1007/978-3-030-22971-9_23

2018

A Distributed Network QoE Measurement Framework for Smart Networks in Smart Cities
Jielun Zhang, Feng Ye, Yi Qian
2018 IEEE International Smart Cities Conference (ISC2)   ·   01 Sep 2018   ·   doi:10.1109/ISC2.2018.8656854

Grid of blog posts

2024

Mohammad Ali and Dr. Jielun Zhang attended ISICN 2024 in San Juan, Puerto Rico

Mohammad Ali (Left) & Dr. Jielun Zhang at ISICN 2024.

Mohammad Ali and Bruno Fonkeng presented their poster at 2024 RRV ACS Conference

Mohammad Ali (Left) & Bruno Fonkeng (right) were introducing their work to other researchers.

Dr. Zhang received Seed Award for Researcher at Junior Level

Dr. Zhang received Seed Award for Researcher at Junior Level (SARJ) from the University of South Alabama – a sub award under NSF-2218046.

2023

Dr. Zhang received the Early Career Scholars award from UND VPRED!

Project funded: AI-Driven Advanced Nanomaterials Discovery for Biomedical Applications, 01/2024 - 12/2024 (Co-PI: Jielun Zhang)

Mohammad Ali won the 1st prize in ChatGPT poster content in CARS 2023!

3rd Annual Hybrid Cybersecurity Awareness and Research Symposium in Grand Forks

ICCC Lab site is online

ICCC Lab website is now online with limited information available.

Cols

Text

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Nulla facilisi etiam dignissim diam quis. Id aliquet lectus proin nibh nisl condimentum id venenatis a.

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Nulla facilisi etiam dignissim diam quis. Id aliquet lectus proin nibh nisl condimentum id venenatis a. Tristique magna sit amet purus gravida quis blandit turpis cursus. Ultrices eros in cursus turpis massa tincidunt dui ut ornare. A cras semper auctor neque vitae tempus quam pellentesque nec. At tellus at urna condimentum mattis pellentesque. Ipsum consequat nisl vel pretium. Ultrices mi tempus imperdiet nulla malesuada pellentesque elit eget gravida. Integer vitae justo eget magna fermentum iaculis eu non diam. Mus mauris vitae ultricies leo integer malesuada nunc vel. Leo integer malesuada nunc vel risus. Ornare arcu odio ut sem nulla pharetra. Purus semper eget duis at tellus at urna condimentum. Enim neque volutpat ac tincidunt vitae semper quis lectus.

Images

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Code

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const test = "Lorem ipsum dolor sit amet";