[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNzk1MDM","title","Correlation","state","published","contactAuthorMethod","email","aboutText","

This book is based on real-world cybersecurity data correlation across multiple monitoring systems operated by SSHLab Research, including honeypots, intrusion detection systems, and network telemetry sources.

It focuses on correlating attacker behavior observed across different data sources, including intrusion attempts, scanning activity, malware delivery, and network-level attack patterns.

This is not a theoretical guide or a description of security tools. Instead, it presents empirical findings derived from cross-source analysis of real-world adversary activity.

The research in this book is based on:

Correlation of attack data from multiple monitoring systems
Cross-analysis of honeypot, IDS, and network telemetry data
Identification of repeated attacker infrastructure across campaigns
Behavioral linkage of scanning, exploitation, and post-compromise activity
Detection of coordinated attack patterns across distributed systems
Long-term analysis of adversary infrastructure and activity reuse

The goal of this book is to provide advanced, evidence-based cybersecurity insights by connecting disparate data sources into a unified view of attacker behavior.

This book is intended for experienced cybersecurity practitioners, threat intelligence analysts, detection engineers, and researchers working with multi-source security data correlation

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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