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MMCo: using multimodal deep learning to detect malicious traffic with noisy labels |
Qingjun YUAN1, Gaopeng GOU2, Yuefei ZHU1, Yongjuan WANG1( ) |
1. Strategic Support Force Information Engineering University, Zhengzhou 450001, China
2. Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China |
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Corresponding Author(s):
Yongjuan WANG
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| About author: * Both are co-first authors. |
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Just Accepted Date: 11 April 2023
Issue Date: 16 June 2023
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| 1 |
X, Sun S, Ma Y, Li D, Wang Z, Li N, Wang G Gui . Enhanced echo-state restricted Boltzmann machines for network traffic prediction. IEEE Internet of Things Journal, 2020, 7( 2): 1287–1297
|
| 2 |
S I, Popoola R, Ande B, Adebisi G, Gui M, Hammoudeh O Jogunola . Federated deep learning for zero-day botnet attack detection in IoT-edge devices. IEEE Internet of Things Journal, 2022, 9( 5): 3930–3944
|
| 3 |
M, Ring S, Wunderlich D, Scheuring D, Landes A Hotho . A survey of network-based intrusion detection data sets. Computers & Security, 2019, 86: 147–167
|
| 4 |
B, Han Q, Yao X, Yu G, Niu M, Xu W, Hu I W, Tsang M Sugiyama . Co-teaching: robust training of deep neural networks with extremely noisy labels. In: Proceedings of the 32nd International Conference on Neural Information Processing Systems. 2018, 8536−8546
|
| 5 |
X, Yu B, Han J, Yao G, Niu I W, Tsang M Sugiyama . How does disagreement help generalization against label corruption? In: Proceedings of the 36th International Conference on Machine Learning. 2019, 7164−7173
|
| 6 |
C, Tan J, Xia L, Wu S Z Li . Co-learning: learning from noisy labels with self-supervision. In: Proceedings of the 29th ACM International Conference on Multimedia. 2021, 1405−1413
|
| 7 |
Aceto G, Ciuonzo D, Montieri A, Pescapé A. DISTILLER: encrypted traffic classification via multimodal multitask deep learning. Journal of Network and Computer Applications, 2021, 183−184: 102985
|
| 8 |
A, Nascita A, Montieri G, Aceto D, Ciuonzo V, Persico A Pescapé . XAI meets mobile traffic classification: understanding and improving multimodal deep learning architectures. IEEE Transactions on Network and Service Management, 2021, 18( 4): 4225–4246
|
| 9 |
I, Sharafaldin A H, Lashkari A A Ghorbani . Toward generating a new intrusion detection dataset and intrusion traffic characterization. In: Proceedings of the 4th International Conference on Information Systems Security and Privacy. 2018, 108−116
|
| 10 |
M, MontazeriShatoori L, Davidson G, Kaur A H Lashkari . Detection of DoH tunnels using time-series classification of encrypted traffic. In: Proceedings of the 5th Cyber Science and Technology Congress. 2020, 63−70
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