A deep dive into the industry-standard tools for reconnaissance, vulnerability assessment, exploitation, and post-exploitation.

An engineering guide to Linux disk partitioning, covering optimal volume sizes, filesystem choices, and tailored strategies for software engineers, network engineers, and developers.

Secure systems architecture covering network security fundamentals, defense-in-depth strategies, threat modeling, and secure development practices from multiple professional perspectives.

Exploration of data mining, from its core concepts to advanced topics and ethical implications.

An explanation of why the three most prominent fairness metrics in machine learning are mutually incompatible, and a look at a causal approach to building fairer models.