DeepDefense | DDoS attack detection using BLSTM based RNN
kandi X-RAY | DeepDefense Summary
kandi X-RAY | DeepDefense Summary
DeepDefense is a Jupyter Notebook library. DeepDefense has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
DDoS attack detection using BLSTM based RNN
DDoS attack detection using BLSTM based RNN
Support
Quality
Security
License
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Support
DeepDefense has a low active ecosystem.
It has 57 star(s) with 22 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 1 have been closed. On average issues are closed in 4 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of DeepDefense is current.
Quality
DeepDefense has no bugs reported.
Security
DeepDefense has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
DeepDefense is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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DeepDefense releases are not available. You will need to build from source code and install.
Top functions reviewed by kandi - BETA
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of DeepDefense
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of DeepDefense
DeepDefense Key Features
No Key Features are available at this moment for DeepDefense.
DeepDefense Examples and Code Snippets
No Code Snippets are available at this moment for DeepDefense.
Community Discussions
No Community Discussions are available at this moment for DeepDefense.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DeepDefense
You can download it from GitHub.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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