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Published on February 22nd, 2019 📆 | 3052 Views ⚑

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Machine Learning for Malware Detection – 1 – Introduction

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Books I recommend for Penetration Testing and Ethical Hacking:

1. TJ O'Connor - Violent Python: https://amzn.to/31vH2GB
2. Dafydd Stuttard - Web App Hacker' s Handbook (2nd Ed): https://amzn.to/2MRcjk3
3. Peter Yaworski - Web Hacking 101: https://amzn.to/2KTvJSy
4. Jon Erickson - Hacking: The Art of Exploitation (2nd Ed):
https://amzn.to/2WHr3BD
5. Peter Kim - The Hacker Playbook 3 (2018): https://amzn.to/2MQiTXK
6. Peter Yaworski - Real-World Bug Hunting: https://amzn.to/37GB87K

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Short-clips via: https://mixkit.co/
__________

Whatever type of tests you're doing, only perform them in safe and legal environments and with the appropriate permissions.
__________

We begin a new subseries in cybersecurity. You're going to learn how to apply machine learning and deep learning to different aspects and subtopics of cybersecurity.

In the next few videos you're going to learn how to classify malware samples by PE headers.

Only perform these types of engagements in safe and legal environments and with the appropriate permissions.

References:

Chiheb Chebbi - Mastering Machine Learning for Penetration Testing: https://amzn.to/2EpcBbz

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