Java AI Wireshark Mastery Series Volume 2: Build Intelligent Packet Analysis Workflows, Detect Anomalies with Java + ML Models, and Automate Deep Traffic Inspection Using Tshark

By AUSTIN WREN

Unlock the Forensic Power of Network Traffic with Java, AI, and Wireshark Automation In a world where cyber threats evolve faster than ever, traditional monitoring tools are no longer enough. Java AI Wireshark Mastery Series -- Volume 2 takes you beyond surface-level visibility and into the deep investigative realm of AI-powered network forensics . Written for engineers, security developers, and forensic analysts, this volume builds on the foundation of Volume 1 and equips you to detect, explain, and act on network anomalies with intelligence and precision. From protocol behavior fingerprinting to machine learning-based threat detection , you'll learn how to construct a complete forensic pipeline using Java, Wireshark, Tshark, and Java ML libraries like Weka and DL4J. Inside, you'll learn how to: Automate high-fidelity packet capture and inspection with advanced Tshark CLI scripting Detect protocol misuse and covert channels like DNS tunneling and HTTP exfiltration Engineer features from PCAP data for real-time AI threat classification Build a full Java forensic engine with behavior models, anomaly scoring, and alert escalation Visualize attacks in timelines and clusters to reconstruct events and uncover root causes Generate professional reports --both human-readable and machine-readable--for SOCs, audits, or court evidence Whether you're defending cloud infrastructure, conducting internal investigations, or building next-gen forensic tools, this book gives you the framework and tools to turn raw traffic into meaningful intelligence. Key Features: Full-stack forensic system design with Java, Tshark, and AI Real-world examples, modular Java code, and automation-ready scripts Integration with Weka, DL4J, Pcap4J, and visualization libraries Secure handling of evidence: PCAP encryption, chain-of-custody logging, and compliance-ready reporting Includes access to sample PCAP datasets and code templates If you're ready to move from passive monitoring to active understanding , this book will transform how you approach network security. Don't just collect packets-- interpret them, model them, and respond to them intelligently . Perfect for: Network engineers and forensic analysts Security developers and SOC professionals Java programmers looking to integrate AI with real-time traffic analysis Anyone building investigative-grade, automated, and intelligent network tools Make your network insight truly intelligent. Purchase Java AI Wireshark Mastery Series -- Volume 2 and begin building forensic-grade systems today.

• Format: Paperback
• Language: English
• ISBN: B0F6CPSQ95
• ISBN13: 9798281273374
• Release Date: April 2025
• Publisher: Independently published
• Length: 113 Pages
• Dimensions: 9.0" x 0.3" x 6.0"