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Proposed AntiNex additions - Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - Anti-Nex REST API - Deploys to OpenShift Container Platform #11

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Proposed AntiNex additions - Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - Anti-Nex REST API - Deploys to OpenShift Container Platform #11

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10 changes: 10 additions & 0 deletions README.md
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Expand Up @@ -38,6 +38,8 @@ Please read [CONTRIBUTING](./CONTRIBUTING.md) if you wish to add tools or resour
* [Publicly available PCAP files](http://www.netresec.com/?page=PcapFiles)
* [2007 TREC Public Spam Corpus](https://plg.uwaterloo.ca/~gvcormac/treccorpus07/)
* [Drebin Android Malware Dataset](https://www.sec.cs.tu-bs.de/~danarp/drebin/)
* [AntiNex - Non-Attack Datasets from Recorded HTTP Network Traffic](https://github.com/jay-johnson/network-pipeline-datasets)
* [AntiNex - Attack Datasets from Recorded HTTP Network Traffic](https://github.com/jay-johnson/antinex-datasets)

## [↑](#table-of-contents) Papers

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* [Detecting Malicious PowerShell Commands using Deep Neural Networks](https://arxiv.org/pdf/1804.04177.pdf)
* [Machine Learning DDoS Detection for Consumer Internet of Things Devices](https://arxiv.org/pdf/1804.04159.pdf)

## [↑](#table-of-contents) Jupyter Notebooks

* [AntiNex - Building Deep Neural Networks for Defending Software Applications with Keras and Tensorflow](https://github.com/jay-johnson/antinex-core/blob/master/docker/notebooks/AntiNex-Protecting-Django.ipynb)
* [AntiNex - Using Pre-trained Deep Neural Networks to Defend a Django Web Application with Keras and Tensorflow](https://github.com/jay-johnson/antinex-core/blob/master/docker/notebooks/AntiNex-Protecting-Django.ipynb)

## [↑](#table-of-contents) Books

* [Data Mining and Machine Learning in Cybersecurity](https://www.amazon.com/Data-Mining-Machine-Learning-Cybersecurity/dp/1439839425)
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* [A Machine-Learning Toolkit for Large-scale eCrime Forensics](http://blog.trendmicro.com/trendlabs-security-intelligence/defplorex-machine-learning-toolkit-large-scale-ecrime-forensics/)
* [WebShells Detection by Machine Learning](https://github.com/lcatro/WebShell-Detect-By-Machine-Learning)
* [Building Machine Learning Models for the SOC](https://www.fireeye.com/blog/threat-research/2018/06/build-machine-learning-models-for-the-soc.html)
* [AntiNex - Tuning Deep Neural Networks to Defend Software Systems using a Distributed, Containerized Stack](https://github.com/jay-johnson/train-ai-with-django-swagger-jwt)
* [AntiNex - Predicting Attack Records on a Local Network with a Scalable Deployment using OpenShift and Kubernetes](https://github.com/jay-johnson/train-ai-with-django-swagger-jwt/tree/master/openshift)
* [AntiNex - Building a Training Dataset from Recorded Attack and Non-Attack Network Traffic](https://github.com/jay-johnson/antinex-datasets/tree/master/v1/webapps/django)

## [↑](#table-of-contents) Courses

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