4 ms·
Machine Learning and Cyber Security Resources
- hangtwenty 10y agoMandatory viewing for anybody considering messing with ML + infosec ... https://www.blackhat.com/html/webcast/02192015-secure-because-math.html https://www.blackhat.com/html/webcast/02192015-secure-becaus...
- vladsanchez 10y agoI wondered about this topic last week! Whether it was possible to use ML/DL to model and predict cyber-attacks?
- Faizann20 10y agoI hope you are not wondering now. :D
- vladsanchez 10y agoThanks for sharing, fascinating stuff in your link! :D
- Faizann20 10y agoSource: http://fsecurify.com/machine-learning-and-cyber-security/ http://fsecurify.com/machine-learning-and-cyber-security/
- kyrre 10y agoMore: http://www.covert.io/the-definitive-security-datascience-and-machinelearning-guide/ http://www.covert.io/the-definitive-security-datascience-and...
- Faizann20 10y agoThanks.
- galapago 10y agoVDiscover, a tool to predict vulnerable test cases using program traces, is missing: https://github.com/CIFASIS/VDiscover/ https://github.com/CIFASIS/VDiscover/ Full disclosure: I am one of the authors of "Toward large-scale vulnerability discovery using Machine Learning", where this tool was presented.
- Faizann20 10y agoSeems good. I'll add it.
- jcims 10y agoI have a feeling that the inscrutability of deep learning models is going to provide a playground for fraud. There are some papers that I cannot find at the moment (Deep Flaws?) related to detection of model and input fouling via adversarial inputs. I'm approaching ML from 20 years in infosec and am a bit undecided where I should focus my efforts. Using ML as a tool or defending ML against threats. Ultimately both will be applicable.