Model Uncertainty Based Annotation Error Fixing for Web Attack Detection-Reference-Cited by-同舟云学术

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Model Uncertainty Based Annotation Error Fixing for Web Attack Detection

Published:2020-02-22 Issue:2-3 Volume:93 Page:187-199
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Gong Xinyu,Lu Jialiang,Zhou Yuefu,Qiu Han,He Ruan

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modelling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11265-019-01494-1.pdf

Reference38 articles.

1. Qiu, H., Noura, H., Qiu, M., Ming, Z., Memmi, G. (2019). A user-centric data protection method for cloud storage based on invertible dwt. IEEE Transactions on Cloud Computing.

2. Gai, K., Qiu, M., Zhao, H., Xiong, J. (2016). Privacy-aware adaptive data encryption strategy of big data in cloud computing. In 2016 IEEE 3Rd International Conference on Cyber Security and Cloud Computing (CSCloud) (pp. 273–278). IEEE.

3. Shan, S. (2014). Big data classification: Problems and challenges in network intrusion prediction with machine learning. Acm Sigmetrics Performance Evaluation Review, 41(4), 70–73.

4. Stein, G., Chen, B., Annie, S.W., Hua, K.A. (2005). Decision tree classifier for network intrusion detection with ga-based feature selection. In Southeast Regional Conference (pp. 136–141).

5. Mukkamala, S., Janoski, G., Sung, A. (2002). Intrusion detection using neural networks and support vector machines. In International Joint Conference on Neural Networks (pp. 1702–1707).

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1. PWAGAT: Potential Web attacker detection based on graph attention network;Neurocomputing;2023-11

2. Weighted transformer neural network for web attack detection using request URL;Multimedia Tools and Applications;2023-10-17

3. Web Based Anomaly Detection Using Zero-Shot Learning With CNN;IEEE Access;2023

4. Web Attack Payload Identification and Interpretability Analysis Based on Graph Convolutional Network;2022 18th International Conference on Mobility, Sensing and Networking (MSN);2022-12

5. Deep Learning for Vulnerability and Attack Detection on Web Applications: A Systematic Literature Review;Future Internet;2022-04-13

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