Machine learning in cyber security - PSJoshi/Notes GitHub Wiki

Machine learning and cyber security links - https://www.kdnuggets.com/2017/01/machine-learning-cyber-security.html
Machine learning, Entropy, Fraud with Splunk - https://conf.splunk.com/session/2014/conf2014_FredWilmotSebastienTricaud_Security.pdf
Clearcut - https://speakerdeck.com/davidjbianco/getting-started-with-machine-learning-for-incident-detection
Using machine learning techniques to classify web sites - http://www.ce.pdn.ac.lk/ESCaPe/2015/papers/pp7.pdf
Applying machine learning to information security - https://conf.fellowship.ai/blog/infosec
OSSEC Hyperalerts - https://medium.com/@cybersiftIO/cybersift-ossec-hyperalerting-f3a65e7b0e08
Machine learning in cybersecurity - https://medium.com/towards-data-science/machine-learning-techniques-applied-to-cyber-security-d58a8995b7d7
Detect ransomeware using disk activity per process - https://medium.com/towards-data-science/more-anomaly-detection-vs-ransomware-4ef23f8ae5f
Awesome AI Security - https://github.com/RandomAdversary/Awesome-AI-Security
Awesome Adversarial Machine Learning - https://github.com/yenchenlin/awesome-adversarial-machine-learning
Anomaly detection in network traffic using R - https://www.researchgate.net/publication/265031509_Using_R_for_Anomaly_Detection_in_Network_Traffic
Self learning network anomaly detection system - https://www.researchgate.net/publication/265032229_A_Self-Learning_Network_Anomaly_Detection_System_using_Majority_Voting
Threat analysis in a heterogeneous log environment - http://fps2017.loria.fr/wp-content/uploads/2017/10/08.pdf
Malicious url detection using machine learning - https://arxiv.org/pdf/1701.07179.pdf
Time series anomaly detection in network traffic - https://jask.ai/cyber-security/time-series-anomaly-detection-in-network-traffic-a-use-case-for-deep-neural-networks/
Open source anomaly detection in python - https://datascience.stackexchange.com/questions/6547/open-source-anomaly-detection-in-python
Machine learning and its cyber security applications - https://www.nccgroup.trust/globalassets/our-research/uk/whitepapers/2017/rise-of-the-machines-preliminaries-wp-new-template-final_web.pdf
Collection of deep learning cyber security papers - https://medium.com/@jason_trost/collection-of-deep-learning-cyber-security-research-papers-e1f856f71042
4-trends in security data science - https://www.oreilly.com/ideas/4-trends-in-security-data-science-for-2017
Detecting lateral movement attacks through SMB - http://essay.utwente.nl/71415/1/Ullah_MA_EWI.pdf
Threat hunting workshop - https://www.slideshare.net/Splunk/threat-hunting-workshop-74957398
Practical machine learning in information security - https://conference.hitb.org/hitbsecconf2017ams/materials/D1T3%20-%20Clarence%20Chio%20and%20Anto%20Joseph%20-%20Practical%20Machine%20Learning%20in%20Infosecurity.pdf
Automated prevention of ransomeware using machine learning - https://www.rsaconference.com/writable/presentations/file_upload/spo2-t11_automated-prevention-of-ransomware-with-machine-learning-and-gpos.pdf
Malware detection using machine learning - https://www.slideshare.net/CysinfoCommunity/malware-detection-using-machine-learning
Essential algorithms every ML engineer should know - https://towardsdatascience.com/essential-algorithms-every-ml-engineer-needs-to-know-3167b1e940f
Cognitive insights of Logz.io - https://logz.io/blog/announcing-logz-io-cognitive-insights/
Detection of ransomeware using machine learning - https://www.slideshare.net/cisoplatform7/automated-prevention-of-ransomware-with-machine-learning-and-gpos
Open source ML tools -https://github.com/jzadeh/aktaion2
Interesting repository - https://github.com/jzadeh
Threat hunting - https://www.slideshare.net/cisoplatform7/sacon-threat-hunting-chandra-prakash
Security automation - https://www.slideshare.net/cisoplatform7/sacon-automating-secops-murray-goldschmidt
Detecting malware even if it is encrypted - http://files.brucon.org/2017/002_Frantisek_Strask_Detecting_Malware_Event_When_Its_Encrypted.pdf
Detect lateral movement with machine learning - https://github.com/JPCERTCC/DetectLM
Apache log file security analyzer - https://github.com/jensvoid/lorg
Experiments in machine learning - https://github.com/jeffbryner/machinelearning
Machine learning based DDoS detection - https://github.com/equalitie/learn2ban
Machine learning for your logs - https://github.com/gophergala2016/Pulse
Examples of machine learning from Elasticsearch - https://github.com/elastic/examples/tree/master/Machine%20Learning/Security%20Analytics%20Recipes
Sophos article on machine learning in cyber security - https://www.sophos.com/en-us/medialibrary/PDFs/technical-papers/MachineLearningforCybersecurityDemystifiedbySophos.pdf?la=en
Anomaly detector for RIPE DNS measurements - https://github.com/ripe-dns-anomaly/anomalyDetector
Automatic DDos detection and botnet classifier - https://github.com/equalitie/BotHound
https://www.linkedin.com/pulse/data-science-approach-network-security-using-machine-learning-osman
Data hacking from click-security - https://clicksecurity.github.io/data_hacking/
Time series anomaly detection in network traffic - https://jask.ai/time-series-anomaly-detection-in-network-traffic-a-use-case-for-deep-neural-networks/
Threat hunting examples - https://jask.ai/httpswww-linkedin-compulsepentesting-your-hands-tied-big-data-part-2-daniel-scarberrytrkhp-feed-article-title-publish/
Data driven approach for machine learning - https://brage.bibsys.no/xmlui/bitstream/handle/11250/2403053/LCAndersen_2016.pdf?sequence=1
Malicious url detection using machine learning - https://cseweb.ucsd.edu/~savage/papers/TIST11.pdf
log analysis toolkit for automated anomaly detection - https://github.com/logpai/loglizer
Using machine learning for e-mail analysis - https://towardsdatascience.com/how-i-used-machine-learning-to-classify-emails-and-turn-them-into-insights-part-2-6a8f26477c86
User behavioural analytics using OSSEC - https://github.com/RajsimmanRavi/UBA_OSSEC
Phishing website detection - https://github.com/npapernot/phishing-detection
Introduction to machine learning - https://github.com/sdrangan/introml
Artifical intelligence and deep learning tutorials -https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/master/README.md
Python machine learning library MLBox - https://github.com/AxeldeRomblay/MLBox
AI,Big data, machine learning resources - https://github.com/InnoArchiTech/datascience-ai-machinelearning-resources
Machine learning for computer security - https://github.com/ANSSI-FR/SecuML
Learning malicious requests using proxy logs - https://arxiv.org/pdf/1702.02530.pdf
Automated collection of malicious web traffic - https://arxiv.org/pdf/1802.06012.pdf
Machine learning projects in cyber security - https://github.com/andrewaeva/machine-learning-in-cybersecurity
Mumbai NSE stock exchange hackathon - https://github.com/NaruBeast/computer-security-monitoring-using-ml
Web application firewall using machine learning - https://greywizard.com/blog/article/18-how-to-create-a-web-application-firewall-using-machine-learning-part-i
Predictive analysis of IP/MPLS network using machine learning - https://tdk.bme.hu/VIK/DownloadPaper/IPMPLS-halozatok-prediktiv-analizise2
Feature extraction of network packets for machine learning - https://bigsnarf.wordpress.com/2013/04/05/feature-extraction-network-packets-machine-learnin/
Network packet forensics using deep learning - https://opensourceforu.com/2016/09/deep-learning-network-packet-forensics-using-tensorflow/
Clustering application attacks using machine learning - https://www.imperva.com/blog/2018/06/clustering-app-attacks-with-machine-learning-part-2-calculating-distance/
Combining virtual machine introspection with network based IDS - http://publications.lib.chalmers.se/records/fulltext/245361/245361.pdf
Wind turbine fault detection using machine learning and neural networks - https://www.design-reuse.com/articles/43288/wind-turbine-fault-detection-machine-learning-neural-networks.html
Malware classification using deep learning - https://articles.forensicfocus.com/2018/06/20/deep-learning-at-the-shallow-end-malware-classification-for-non-domain-experts/
Statistical analysis of CIDDS-001 dataset for NIDS using distance based machine learning - https://ac.els-cdn.com/S1877050917328594/1-s2.0-S1877050917328594-main.pdf
ML algorithms for detection of network attacks - http://fau.digital.flvc.org/islandora/object/fau%3A38036/datastream/OBJ/view/Machine_learning_algorithms_for_the_analysis_and_detection_of_network_attacks.pdf
Comparison of Deep Packet Inspection (DPI) Tools for Traffic Classification - https://www.ac.upc.edu/app/research-reports/html/RR/2013/37.pdf
Time series anomaly detection in network traffic - https://jask.com/time-series-anomaly-detection-in-network-traffic-a-use-case-for-deep-neural-networks/