Blog
Deep dives into cybersecurity, operating systems, and machine learning — written from real build experience.
Deep dive into Linux kernel internals, understanding vulnerability classes, and practical exploitation techniques for privilege escalation.
Step-by-step implementation of a transformer architecture, attention mechanisms, and training a small language model on custom datasets.
A practical approach to analyzing and reversing modern malware samples using Ghidra, x64dbg, and dynamic analysis sandboxes.
Building a minimal microkernel operating system from scratch in Rust, covering bootloading, memory paging, and preemptive multitasking.
Designing and deploying a scalable threat hunting pipeline using Elasticsearch, Logstash, Kafka, and custom Sigma rules for real-time detection.
How deep reinforcement learning and generative models can be used to automate fuzzing and discover previously unknown software vulnerabilities.
Advanced container security practices including seccomp profiles, AppArmor, rootless containers, and runtime security monitoring with Falco.
Understanding the internals of deep learning frameworks by building one from scratch with automatic differentiation, tensor operations, and CUDA support.
Exploring UEFI firmware internals, secure boot bypass techniques, and developing proof-of-concept bootkits for defensive research.
Implementing zero-trust security principles in cloud-native environments with service mesh, identity-aware proxies, and policy-as-code.
Complete guide to Linux kernel module programming, covering character devices, PCIe drivers, DMA, and kernel debugging techniques.
Applying GNNs to network traffic data for anomaly detection, lateral movement identification, and real-time intrusion prevention.
Practical security hardening for embedded Linux systems including secure boot, filesystem encryption, and runtime integrity verification.
Exploring adversarial attacks on ML models including FGSM, PGD, and data poisoning, with practical defense strategies and robust training.
A developer's guide to implementing NIST-standardized post-quantum cryptographic algorithms for real-world applications.