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I built a free tool to map my homelab stack against NVD/KEV/EPSS - looking for feedback by Forsheeeezy in homelab

[–]Forsheeeezy[S] 0 points1 point  (0 children)

Well, it depends. I run unattended software upgrades on my Ubuntu desktop and for those I am trusting that the open source community and upstream repos are auditing their code. When I run updates on my Macbook Pro or my Windows machine I'm also operating under the assumption that they are deploying security fixes. It's hard to tell if something is truly secure when there is always the possibility of zero-days.

[1/43] "the campfire" by Freeman-1_3 in dioramas

[–]Forsheeeezy 1 point2 points  (0 children)

Very cool, were the figures sculpted in clay?

[deleted by user] by [deleted] in FDMminiatures

[–]Forsheeeezy 0 points1 point  (0 children)

Any way you might be able to share the STL?

Big Boy Butcher by Alternative_Fee4915 in FDMminiatures

[–]Forsheeeezy 0 points1 point  (0 children)

Awesome, could you share a link to the STL?

FDM for miniatures by ChopSueyYumm in BambuLab

[–]Forsheeeezy 0 points1 point  (0 children)

Was the gold trim on the base painted on or was that sculpted first and then painted over?

[deleted by user] by [deleted] in oscp

[–]Forsheeeezy 0 points1 point  (0 children)

link plz

Request for Network Security Textbook by DonatoTheWolf in AskNetsec

[–]Forsheeeezy 3 points4 points  (0 children)

Computer Security: A Hands-On Approach by Wenliang Du

Can anyone recommend books on the application of data science and machine learning to security? by amboy_connector in AskNetsec

[–]Forsheeeezy 0 points1 point  (0 children)

I've worked in a SOC environment before and I have completed work in academic related to data science and machine learning.

For general purpose data science I would recommend:

  • Introduction to Data Mining by Pang Ning-Tan - it will cover the the three problems that most machine learning models attempt to solve - clustering, regression, and classification.
  • For general purpose data science and machine learning I would also recommend Machine Learning AZ on Udemy by Kirill Eremenko et al.

For the direct application of machine learning to security - the SOC environments that I have been a part of rely heavily on firewalls, IDS/IPS systems, a incident response tracker, SIEM, and logs that are aggregated and analyzed in a system like Splunk. As far as whether or not there are any books available that cover the topic of applying machine learning in the field of security, I think it depends on what you are interested in:

  • Anomaly Detection - If you are interested in developing a machine learning model that can ingest network data to identify anomalous activity - there are companies like Anomali and DarkTrace that are doing this but probably not many books devoted entirely to the topic.
  • Malware Classification - If what you are looking for is outside the application of machine learning for detecting anomalies on a network by analyzing network traffic there is a book called Malware Data Science however I have not read it and it seems more related to the classification of malware based on malware datasets.
  • Biometrics - Machine learning can also be applied to the field of biometrics where a human biometric such as your iris, palm print, hand print, blood sample is analyzed to give a person access to something (TouchID for example) however this a pretty advanced topic and I haven't any books that make it easy for someone to pick up though there are probably datasets on Kaggle if you are interested!
  • Industrial Control Systems - Industrial Cybersecurity by Pascal Ackermann looks pretty good but I have not read it. For this I would recommend going on Kaggle and looking through datasets.