Applying Data Science in Cyber Security

The world we live in today is becoming more digital. The Covid-19 pandemic has accelerated digitalization in almost every aspect of our life. This mass digitalization generates data at a pace that has never been seen before. The need for cyber security talents who understand and can use data science techniques becomes more critical. Cyber security practitioners can use data science to extract patterns and malicious detection, thus improving cyber security solutions.

In this workshop, students will be introduced to the basic concept of cybersecurity and how to apply data science techniques to cybersecurity data. This course is intended for data scientists at any level to look at cyber security as a potential career field and for cyber security practitioners interested in applying data science in their work.

The participants will learn the methods to apply data science techniques to cyber security data. Following are the key learnings of the course:

• Cybersecurity 101.
• Latest research in cybersecurity data science.
• Applying data science techniques for cyber security.

• Intermediate Python knowledge.
• Basic Machine Learning and NLP knowledge.
• Cyber security knowledge is not necessary.

• Cybersecurity basics.
• Cybersecurity datasets.
• Sample use cases of data science in cybersecurity.
• Latest research in cybersecurity data science.
• Review of ML and NLP algorithms.
• Hands-on: Natural Language Processing for cybersecurity.
• Hands-on: Unsupervised learning (threat categorization).