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Kun Yang
Kun Yang
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
DDoS attacks detection with autoencoder
K Yang, J Zhang, Y Xu, J Chao
NOMS 2020-2020 IEEE/IFIP network operations and management symposium, 1-9, 2020
692020
An Efficient One-Class SVM for Novelty Detection in IoT
K Yang, S Kpotufe, N Feamster
Transactions on Machine Learning Research, 2022
47*2022
Problems of kdd cup 99 dataset existed and data preprocessing
Y Wang, K Yang, X Jing, HL Jin
Applied Mechanics and Materials 667, 218-225, 2014
202014
A comparative study of network traffic representations for novelty detection
K Yang, S Kpotufe, N Feamster
arXiv preprint arXiv:2006.16993, 2020
17*2020
A new mimicking attack by LSGAN
D Sun, K Yang, Z Shi, C Chen
2017 IEEE 29th International Conference on Tools with Artificial …, 2017
152017
Encrypted application classification with convolutional neural network
K Yang, L Xu, Y Xu, J Chao
2020 IFIP Networking Conference (Networking), 499-503, 2020
92020
Distinguishing flooding distributed denial of service from flash crowds using four data mining approaches
B Kong, K Yang, D Sun, M Li, Z Shi
Computer Science and Information Systems 14 (3), 839-856, 2017
62017
A distinction method of flooding DDoS and flash crowds based on user traffic behavior
D Sun, K Yang, Z Shi, Y Wang
2017 IEEE Trustcom/BigDataSE/ICESS, 65-72, 2017
52017
Could we beat a new mimicking attack?
D Sun, K Yang, B Lv, Z Shi
2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2017
42017
Greedy Centroid Initialization for Federated K-means
K Yang, MM Amiri, SR Kulkarni
2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2023
22023
An Improved NPCUSUM Method with Adaptive Sliding Window to Detect DDoS Attacks
D Sun, K Yang, W Huang, Y Wang, B Hu
Information and Communications Security: 17th International Conference …, 2016
12016
Greedy centroid initialization for federated k-means. https://link.springer.com/article/10.100
SR Yang, K., Mohammadi Amiri, M., & Kulkarni
Knowledge and Information Systems, 1-33, 2024
2024
An Efficient One-Class SVM for Novelty Detection in IoT
K Yang, S Kpotufe, N Feamster
NeurIPS 2022 Workshop MLSys, https://mlforsystems.org/, 2022
2022
Detecting Flooding DDoS Under Flash Crowds Based on Mondrian Forest
D Sun, K Yang, Z Shi, Y Wang
Wireless Algorithms, Systems, and Applications: 12th International …, 2017
2017
A Behavior-Based Method for Distinction of Flooding DDoS and Flash Crowds
D Sun, K Yang, Z Shi, B Lv
Knowledge Science, Engineering and Management: 10th International Conference …, 2017
2017
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Articles 1–15