@inproceedings{93ec56fdaeb24f39b77c2de093e255f3,
title = "Deep learning based scene text reading for cloud audit information extraction",
abstract = "User behavior auditing is one of the powerful means to cope with internal threats in cloud computing and the key component for user behavior auditing is information extraction. The authors in this paper present a method, which automatically extract audit information from session image transported by remote desktop protocol. This method is realized by deep learning based scene text reading. To address the challenges of applying scene text reading model in cloud audit system, the authors modified the structure of aforementioned model, attached a pre-process to it and presented a synthetic data generation method for training models. The evaluation part testifies that this information extraction method could attain high accuracy rate of 93.4 \% on the real scene data.",
keywords = "Cloud audit, Scene text reading, Synthetic data generation, Text detection, Text recognition",
author = "Hezhong Pan and Chuanyi Liu and Shaoming Duan and Peiyi Han and Xinyi Zhang and Binxing Fang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 4th IEEE International Conference on Data Science in Cyberspace, DSC 2019 ; Conference date: 23-06-2019 Through 25-06-2019",
year = "2019",
month = jun,
doi = "10.1109/DSC.2019.00112",
language = "英语",
series = "Proceedings - 2019 IEEE 4th International Conference on Data Science in Cyberspace, DSC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "686--693",
booktitle = "Proceedings - 2019 IEEE 4th International Conference on Data Science in Cyberspace, DSC 2019",
address = "美国",
}