Data Engineering for Cybersecurity

When a cyber security incident occurs, how does anyone know? Data must leave workstations and servers, bounce across the network, and land in a central database before analysts can use it. This project-based book covers that complex space between an organization's computers and the security analyst tasked with protecting them. The guidance is straightforward, and the focus is on streamlining the process of gathering, transforming, and storing cybersecurity data using free and open-source tools. The author elaborates on core but often overlooked logging strategies, while also emphasizing the importance of standardizing data, using encryption to protect transmitted data, and creating 'data pipelines' that support cybersecurity, data analytics, and automation needs alike. You'll how to: Implement core logging strategies using free tools such as Elastic stack; Transform data to fit your needs, and configure your tools to send it back and forth; Secure your logging infrastructure by encrypting connections using TLS and SSH; Handle version control and backups with Git, and improve your efficiency with caching. By the end, you'll know how to enrich your security data, protect it from unauthorized parties, and automate your workflow in the process - leaving more room for creative thinking.

Learn essential strategies to streamline and secure your organization''s data handling from a cybersecurity expert who has trained military intelligence personnel.

When a cyber security incident occurs, how does anyone know? Data must leave workstations and servers, bounce across the network, and land in a central database before analysts can use it. This project-based book covers that complex space between an organization’s computers and the security analyst tasked with protecting them. The guidance is straightforward, and the focus is on streamlining the process of gathering, transforming, and storing cybersecurity data using free and open-source tools.

The author elaborates on core but often overlooked logging strategies, while also emphasizing the importance of standardizing data, using encryption to protect transmitted data, and creating “data pipelines” that support cybersecurity, data analytics, and automation needs alike. You’ll how to:

• Implement core logging strategies using free tools such as Elastic stack
• Transform data to fit your needs, and configure your tools to send it back and forth 
• Secure your logging infrastructure by encrypting connections using TLS and SSH 
• Handle version control and backups with Git, and improve your efficiency with caching

By the end, you’ll know how to enrich your security data, protect it from unauthorized parties, and automate your workflow in the process – leaving more room for creative thinking.