The realm of cyber security is becoming increasingly complex, with sophisticated threats lurking behind every corner of the virtual landscape. With machine learning emerging as a powerful ally, we can combat these threats more effectively. This blog will guide you through awesome tools and resources related to using machine learning in cyber security.
Table of Contents
Datasets
Data is the lifeblood of any machine learning project. Here’s a collection of databases specifically catering to cyber security:
- HIKARI-2021 Datasets
- Samples of Security Related Data
- DARPA Intrusion Detection Data Sets [ 1998 | 1999 ]
- Stratosphere IPS Data Sets
- Open Data Sets
- Data Capture from National Security Agency
- The ADFA Intrusion Detection Data Sets
- NSL-KDD Data Sets
- Malicious URLs Data Sets
- Multi-Source Cyber-Security Events
Papers
Delve into these insightful papers to understand the theories and methodologies underpinning machine learning in the realm of cyber security:
- Generating Network Intrusion Detection Dataset Based on Real and Encrypted Synthetic Attack Traffic
- Fast, Lean, and Accurate: Modeling Password Guessability Using Neural Networks
- And many more listed in the README file…
Books
Expand your knowledge with these comprehensive books:
- Data Mining and Machine Learning in Cybersecurity
- Machine Learning and Data Mining for Computer Security
- Network Anomaly Detection: A Machine Learning Perspective
- And others too!
Talks
Engage with thoughts shared by experts in this field:
- Using Machine Learning to Support Information Security
- Defending Networks with Incomplete Information
- More insightful talks reside in the README file…
Tutorials
Brush up your skills with these practical tutorials:
- Machine Learning based Password Strength Classification
- Using Machine Learning to Classify Packet Captures
- And many more…
Courses
Add these courses to your learning journey:
- Data Mining for Cyber Security by Stanford
- Data Science and Machine Learning for Infosec
- And additional courses listed in the README file…
Miscellaneous
Other worthwhile mentions such as toolkits and community projects are also available:
- System predicts 85 percent of cyber-attacks using input from human experts
- And a treasure trove of additional resources…
Troubleshooting Tips
If you find yourself facing challenges while diving into these resources, here are some tips:
- Ensure you have a stable internet connection to access these links.
- Use different browsers if you encounter loading issues.
- Update your browser to the latest version for optimal performance.
- If you can’t find specific papers or datasets, consider reaching out to community forums or the resource authors.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Conclusion
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.