Books

A recovery plan does not prove that recovery will work. This practical playbook helps IT teams plan, execute, evidence, and evaluate enterprise DR tests using structured workflows, decision controls, and reusable templates.

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In this book, we plan before we act, we preview before we commit, we gate on evidence rather than on hope, and we write the recovery before we take the risk. By the time you get to the last chapter, you'll be familiar with the switches over NETCONF, server provisioning, building overlays, traffic inspection, cloud network provisioning, Kubernetes resource application, RDMA fabric validation, inference traffic routing, and reporting your findings through an interface that an assistant can query.

A practical guide to finding threats that never need to touch disk. Explore Windows internals, memory forensics, EDR telemetry and network detection through safe labs and real investigative methods. Built for defenders who want to understand what happens in memory, spot suspicious behavior and turn evidence into reliable detections.

From a wiped Pixel to a fully hardened daily driver — and beyond. GrapheneOS Layers gives you the complete, progressive path that official documentation stops short of: precise installation, usable privacy baseline, multi-profile isolation, banking that actually works, carrier and eSIM reliability, full backup/migration, and a living personal threat model. Every procedure is self-contained, numbered, verified against grapheneos.org, and backed by exhaustive troubleshooting. Free lifetime updates included.

Build Linux systems that do more than boot. This hands-on guide takes you from bootloader and kernel to secure updates, reproducible images, manufacturing and fleet operations. With runnable code and production-tested techniques, you’ll learn how to build Linux appliances designed for the real world.

Bring the browser and the physical world together. Learn how to build secure, reliable JavaScript and TypeScript apps that communicate directly with real hardware. From serial terminals and sensor dashboards to test stations and device tools, this hands-on guide takes you from first connection to production-ready systems.

Cybersecurity is no longer just an IT problem. Modern Information Security connects the principles, architecture, operations and strategy behind effective security programs. From identity and cloud security to incident response, governance and emerging threats, it offers practical guidance for building security that works in the real world.

Understand the threats. Learn the defenses. Build a stronger foundation in Network Security.Modern organizations depend on computer networks for communication, business operations, cloud services, applications, and data exchange. With this growing connectivity comes an equally important challenge: protecting networks from unauthorized access, attacks, vulnerabilities, and security incidents.Network Security: A Comprehensive Guide for Beginners and Advanced Learners provides a structured learning journey for students and aspiring security professionals who want to understand how modern networks are protected.The book begins with the fundamentals of networking and network security, covering network topologies, OSI and TCP/IP models, network devices, IP addressing, subnetting, protocols, and ports. It then moves into common cyber threats and vulnerabilities, including malware, phishing, social engineering, DoS and DDoS attacks, Man-in-the-Middle attacks, weak authentication, and software vulnerabilities.Readers will learn important security principles such as the CIA Triad, AAA, Defense-in-Depth, Least Privilege, and Risk Management, followed by an introduction to cryptography, encryption, digital signatures, certificates, TLS, IPsec, and PKI.The book also explores firewalls, IDS, IPS, SIEM, VPNs, wireless security, Network Access Control, web application security, HTTPS, secure development practices, incident response, digital forensics concepts, disaster recovery, and business continuity.The final chapters look toward the future, introducing Zero Trust, Next-Generation Firewalls, AI and Machine Learning in cybersecurity, Cloud Security, and IoT Security.For students, the book provides a strong academic foundation. For aspiring professionals, it introduces important technologies, responsibilities, career paths, and security practices.The goal is not simply to learn how attacks occur, but to understand how responsible security professionals identify risks, protect systems, respond to incidents, and continuously improve security.Learn the fundamentals. Understand the risks. Think like a security professional.

The plugin was deleted. The malware came back. This real WordPress investigation shows why. Follow a multi-layer infection across plugins, MU plugins, drop-ins, theme code, database records, memory, recovery archives, administrator access, and browser persistence—and learn how to remove the recovery system instead of deleting one visible symptom.

See what your network traffic is really revealing. This practical guide breaks down TLS fingerprinting, JA3/JA4 and HTTP client identification, then shows you how to put them to work with Python, Go and Rust. From protocol internals to production pipelines, learn how to identify clients at scale without losing sight of privacy or operational reality.

A hacked WordPress site can look perfectly normal. Follow real investigations across files, databases, hidden users, cron jobs, hosting, DNS, checkout pages, and blacklists—and learn how to find the full compromise, remove it safely, and stop it from coming back.

Ein Playbook gegen die agentische Drift — 29 Leitplanken, um KI-generierten Code prüfbar, ehrlich und auditierbar zu halten, destilliert aus über 27 Jahren Projekt- und Programmleitung in regulierten Branchen.

AI coding agents can build, run and break things at machine speed. This book shows you how to contain them safely. From Linux isolation and microVMs to WebAssembly, threat modeling and incident response, you’ll learn how to design production-grade sandboxes that let autonomous agents execute code without putting your systems at risk.

The security failures specific to AI-generated code, each paired with its fix. Hardcoded secrets, broken RLS policies, hallucinated packages, prompt injection, plus a 25-point pre-launch audit.