Julian Jang‐Jaccard

Author

Julian Jang‐Jaccard

Also Known As

ACISP 2019 Christchurch, Neuseeland, Dods, Sarah, Fu Jiang, J Jang-Jaccard, J. Jang, Jae Yong Jang, Jang, Julian, Jang-Jaccard, Julian, Jose Viterbo, Julian JANG

123

Publications

3.5K

Citations

H-Index

138

Concepts

All Affiliations

Massey University Commonwealth Scientific and Industrial Research Organisation Central Queensland University Data61 Ajou University

About

Julian Jang‐Jaccard is an author at Massey University specializing in engineering, computer science, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	33	1.8K
2	Education	4	4	340
3	Business	3	3	48
4	Medicine	1	1	83
5	Nursing	1	1	37

Julian Jang‐Jaccard

Publications

2.9K

Citations

H-Index

Page 1

	Year	Citations
A survey of emerging threats in cybersecurity Julian Jang‐Jaccard, ‪Surya Nepal‬ Journal of Computer and System Sciences	2014	864
IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset Yuhua Yin, Julian Jang‐Jaccard, Wen Xu, Journal Of Big Data Anomaly DetectionMachine LearningEngineeringFeature SelectionDetection Technique	2023	278
Improving Performance of Autoencoder-Based Network Anomaly Detection on NSL-KDD Dataset Wen Xu, Julian Jang‐Jaccard, Amardeep Singh, IEEE Access Artificial IntelligenceAnomaly DetectionMachine LearningData ScienceData Mining	2021	220
LSTM-Autoencoder-Based Anomaly Detection for Indoor Air Quality Time-Series Data Yuanyuan Wei, Julian Jang‐Jaccard, Wen Xu, IEEE Sensors Journal Environmental MonitoringAnomaly DetectionMachine LearningEngineeringAutoencoders	2023	216
Deep Q-Learning Based Reinforcement Learning Approach for Network Intrusion Detection Hooman Alavizadeh, Hootan Alavizadeh, Julian Jang‐Jaccard Computers Artificial IntelligenceEngineeringMachine LearningDeep FeedEducation	2022	197
AE-MLP: A Hybrid Deep Learning Approach for DDoS Detection and Classification Yuanyuan Wei, Julian Jang‐Jaccard, Fariza Sabrina, IEEE Access Ddos DetectionEngineeringMachine LearningData ScienceFeature Learning	2021	169
A Comprehensive Survey of Generative Adversarial Networks (GANs) in Cybersecurity Intrusion Detection Aeryn Dunmore, Julian Jang‐Jaccard, Fariza Sabrina, IEEE Access CybersecurityMachine LearningEngineeringInformation SecurityInformation Forensics	2023	100
WebRTC-based video conferencing service for telehealth Julian Jang‐Jaccard, ‪Surya Nepal‬, Branko G. Celler, Computing Wireless TelemedicineAssistive TechnologyVideo CommunicationTelemedicineTelehealth	2014	83
A few-shot meta-learning based siamese neural network using entropy features for ransomware classification Jinting Zhu, Julian Jang‐Jaccard, Amardeep Singh, Computers & Security Few-shot LearningEngineeringInformation RetrievalData ScienceData Mining	2022	72
Artificial Intelligence-Enabled DDoS Detection for Blockchain-Based Smart Transport Systems Tong Liu, Fariza Sabrina, Julian Jang‐Jaccard, Sensors	2021	41

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