[{"_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","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNzkzMzQ","title","Dionaea Malware Honeypot: Deploy, Collect and Analyse Malware Threat Activity","state","published","contactAuthorMethod","email","aboutText","

This book is based on real-world cybersecurity data collected through Dionaea honeypot deployments and SSHLab Research monitoring infrastructure.

It focuses on analyzing malware collection activity and exploitation attempts observed in live environments, with emphasis on how attackers deliver payloads and interact with exposed services.

This is not a guide on how to deploy or configure Dionaea honeypots. Instead, it presents empirical findings derived from real malicious activity captured in operational monitoring systems.

The research in this book is based on:

Malware samples collected through Dionaea honeypot systems
Exploit attempts targeting vulnerable network services
Payload delivery mechanisms used by automated attack tools
Network-based malware propagation behavior
Long-term observation of malicious traffic patterns in live environments

The goal of this book is to provide structured, evidence-based cybersecurity insights derived from real attack data rather than simulated or theoretical scenarios.

This book is intended for cybersecurity practitioners, malware analysts, SOC teams, and security researchers working with real-world threat intelligence and malicious traffic analysis

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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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