Books

Mobile apps handle some of our most sensitive data, making security essential. Mobile Application Security explores how Android, iOS and cross-platform apps are attacked and secured. Covering secure coding, cryptography, reverse engineering and penetration testing, it gives developers, security professionals and students the practical skills to build and assess secure mobile applications.

Reverse engineering gets a powerful upgrade with Claude Code. Learn how to investigate, understand and reconstruct software you’re authorized to analyze, while keeping evidence, accuracy and reproducibility at the center. From legacy systems to modern codebases, this book turns AI into a practical partner for serious software analysis.

Security engineering is about building systems that stay secure when things go wrong. This book covers the fundamentals of secure applications, infrastructure and operations through practical examples, real breaches and proven security practices.

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.

Build AI that keeps working when the cloud doesn't. Local-First AI Engineering shows you how to run capable, private AI systems on infrastructure you control. From hardware and inference to RAG, agents, security and production ops, you'll learn how to build local AI that is fast, reliable and truly yours.

Build AI systems that do more than demo well. This hands-on guide shows you how to engineer autonomous software on Linux that is secure, observable, reliable and ready for production. From agents and memory to threat modeling, OpenTelemetry and Kubernetes, you’ll build a real system while learning what it takes to run AI you can actually trust.

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.

Move beyond AI demos and build agents that can actually run IT operations. This practical guide takes you from MCP fundamentals to production-ready monitoring, incident response, remediation, Kubernetes operations, security and multi-agent systems, with complete runnable code and a strong focus on safe autonomy.

Cyber threats do not stop at the office network. When industrial systems are targeted, the consequences can reach far beyond lost data. This practical guide shows how to secure OT and critical infrastructure from the ground up, combining proven standards, real-world defenses and hands-on guidance for the systems that keep the world running.

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.

Build web scrapers that survive the real world. This hands-on guide takes you from Scrapy fundamentals to scalable production systems, with practical patterns for asynchronous crawling, clean data pipelines, testing, deployment and resilient architectures. Packed with runnable Python examples, it gives you the skills to scrape smarter, faster and at scale.

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.

AI can write code in seconds, but can you trust what it creates? Securing AI-Generated Code shows you how to uncover hidden vulnerabilities, stop risky dependencies, secure AI coding agents and build safer development pipelines. A practical guide for teams that want the speed of AI without putting security on the line.

What if your software could compute on sensitive data without ever seeing it? Private Computing with Homomorphic Encryption takes you from the core ideas to working, production-minded systems. Learn the math, schemes, libraries and design patterns you need to build with HE, judge its tradeoffs and know when it is the right tool for the job.