# User-and-Entity-Behavior-Analytics-UEBA
User and Entity Behavior Analytics by deep learning.
Detecting users anomalous behaviors from users' daily records.
内部威胁检测
## Details
All data were extracted from **CERT/R4.2** (*ftp://ftp.sei.cmu.edu/pub/cert-data*)
**Data**: data for detection.
## Dependent Libraries
- python 3.63-64-bit
- numpy 1.16.4
- tensorflow 1.8.0
- keras 2.2.2
- sklearn 0.19.1
## Useage
- Run python files step by step.
- Note that **3-Action_Sequence_Training.py** and **4-Static_Feature_Training.py** need to be run for different users separately, you can find the user_sets and change it. **2-Training_Data_Generating.py** also needs to be run under two feature types, you can find the "types" and change it.
*The provided features and deep learning models in this project are very simple samples, and you can add or create your own features and models based on this project.* : )
## Cite this work
This project is a part of our work that has been published in the ACM/IMS Transactions on Data Science. You can cite this work in your researches.
ACM/IMS Transactions on Data Science, Volume 1, Issue 3 September 2020, Article No.: 16, pp 1–19 https://doi.org/10.1145/3374749
[Paper Link](https://dl.acm.org/doi/10.1145/3374749)
基于大数据的用户和实体行为分析.zip （163个子文件） 
http.csv 1.24MB http.csv 1.24MB http.csv 1.18MB http2.csv 1.18MB http.csv 1.18MB http2.csv 1.18MB http.csv 1.09MB http.csv 1.04MB http2.csv 1.04MB data_all.csv 306KB data_all.csv 306KB data_all.csv 266KB data_all.csv 259KB data_all.csv 234KB data_all.csv 232KB file.csv 220KB file.csv 219KB data_train.csv 214KB data_train.csv 214KB file.csv 207KB file2.csv 207KB file.csv 206KB file2.csv 206KB file.csv 201KB file.csv 189KB file2.csv 189KB data_train.csv 186KB data_train.csv 181KB data_train.csv 164KB data_train.csv 162KB email.csv 129KB email.csv 126KB email.csv 123KB email2.csv 122KB email.csv 120KB email2.csv 119KB email.csv 106KB email.csv 101KB email2.csv 100KB data_test.csv 92KB data_test.csv 92KB data_out.csv 80KB data_test.csv 80KB data_out.csv 80KB sequence_temp.csv 78KB data_test.csv 78KB sequence_temp.csv 77KB label_all.csv 77KB label_all.csv 77KB predict_all.csv 76KB predict_all.csv 76KB device.csv 74KB data_test.csv 70KB data_out.csv 70KB data_test.csv 70KB device.csv 68KB sequence_code.csv 67KB sequence_temp.csv 67KB predict_all.csv 66KB label_all.csv 66KB label_all.csv 65KB device.csv 64KB sequence_code.csv 61KB sequence_code.csv 61KB label_all.csv 59KB label_all.csv 58KB label_train.csv 54KB label_train.csv 54KB logon.csv 51KB device2.csv 49KB device.csv 48KB label_train.csv 46KB label_train.csv 45KB device2.csv 45KB device.csv 44KB device2.csv 43KB device.csv 41KB label_train.csv 41KB label_train.csv 41KB logon.csv 32KB actions_sequence.csv 30KB actions_sequence.csv 30KB logon2.csv 28KB logon.csv 28KB logon.csv 27KB actions_sequence.csv 26KB label_test.csv 23KB label_test.csv 23KB predict.csv 23KB predict.csv 23KB logon2.csv 20KB logon.csv 20KB label_test.csv 20KB predict.csv 20KB predict.csv 19KB label_test.csv 19KB logon2.csv 18KB predict.csv 18KB label_test.csv 18KB logon.csv 18KB共 163 条
- 1
- 2
资源评论
AI拉呱
- 粉丝: 2766
- 资源: 5458
最新资源
- virtio-win-0.1.248.iso版本驱动
- 谷歌小恐龙训练模型Chrome-Dino-run-RL-main
- 基于SpringBoot+Vue.JS前后端分离的健康饮食管理系统 源码+数据库+录屏（毕业设计）
- Devart-UniDAC-v9.40 源码版
- Cisco 思科 CP-7945g 7965g sip模式固件 9.4.2
- 贪吃蛇方案设计的方法.zip
- 微信支付账单(20240731-20240731).zip
- minio20240920.tar
- 集成供应链（Integrated Supply Chain,ISC）核心业务流程再造，华为的最佳实践
- zabbix-server-pgsql-7.0-centos-latest.tar
资源上传下载、课程学习等过程中有任何疑问或建议，欢迎提出宝贵意见哦~我们会及时处理！
点击此处反馈
