jivoi / awesome-ml-for-cybersecurity Goto Github PK
View Code? Open in Web Editor NEW:octocat: Machine Learning for Cyber Security
License: Other
:octocat: Machine Learning for Cyber Security
License: Other
There are documents in russian language in the main README.md, why not create the README_rus.md ? (Similarly with the Chinese one)
Thanks for this helpful repo!
I noticed the link for paper "Machine Learning: A Threat-Hunting Reality Check" is no longer valid. Please have a look.
Just wondering if this is being updated / maintained still?
基于机器学习的密码强度分类 这个链接失效~需要这份资源 希望分享 谢谢
https://www.ll.mit.edu/ideval/data/
Appears to not be available.
On the ML for cyber security page: https://github.com/jivoi/awesome-ml-for-cybersecurity
The following links from http://fsecurify.com are inaccessible:
Using Neural Networks to generate human readable passwords
Machine Learning based Password Strength Classification
Using Machine Learning to Detect Malicious URLs
fWaf – Machine learning driven Web Application Firewall
It seems the website is no longer maintained
Hi,
i hereby propose the introduction of the AWID Dataset in the category datasets of the list.
This dataset is focused on WiFi intrusion detection, consist of a full recording of tens of GB of WiFi frames captured in a Small Office Home Office context, protected by the WEP security feature. It include different kind of attacks (such as the classic deauthentication, disassociation, cafe-latte and so on).
It is reachable at the following link: http://icsdweb.aegean.gr/awid/ .
Hope to be useful, thanks!
FYI, common crawl has tons of fresh interesting data.
http://commoncrawl.org/2017/05/hostgraph-2017-feb-mar-apr-crawls/
top 400 million domains according to harmonic centrality.
http://commoncrawl.s3.amazonaws.com/projects/hyperlinkgraph/cc-main-2017-feb-mar-apr-hostgraph/ranks.txt.gz
Here is a blog post by Mark L. that uses the common crawl data.
https://tech.marksblogg.com/petabytes-of-website-data-spark-emr.html
Hi,
Marco Ramilli's dataset is linked twice: once as it's blog post, and then as his github repo.
-> Malware Training Sets: A machine learning dataset for everyone
KDD Cup 1999 Data
Web Attack Payloads
WAF Malicious Queries Data Sets
-> Malware Training Data Sets
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