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Intrusion Detection Honeypots is the foundational guide to building, deploying, and monitoring honeypots — security resources whose value lies in being probed and attacked. These fake systems, services, and tokens lure attackers in, enticing them to interact. Unbeknownst to the attacker, those interactions generate logs that alert you to their presence and educate you about their tradecraft. Intrusion Detection Honeypots teaches you how to: – Use the See-Think-Do framework to integrate honeypots into your network and lure attackers into your traps.

syllabus

• Leverage honey services that mimic HTTP, SSH, and RDP.
• Hide honey tokens amongst legitimate documents, files, and folders.
• Entice attackers to use fake credentials that give them away.
• Create honey commands, honey tables, honey broadcasts, and other unique detection tools that leverage deception.
• Monitor honeypots for interaction and investigate the logs they generate.

Chris Sanders | Intrusion Detection Honeypots: Detection through Deception

Building Intrusion Detection Honeypots will teach you how to build, deploy, and monitor honeypots designed to catch intruders on your network. You’ll use free and open source tools to work through over a dozen different honeypot techniques, starting from the initial concept and working to your first alert. Building Intrusion Detection Honeypots is the seminal course on strategic honeypot deployment for network defenders who want to leverage deception to find attackers on their network and slow them down.

syllabus

• What makes an intrusion detection honeypot different from research honeypots.
• How to leverage the four characteristics of honeypots for the defender’s benefit: deception, interactivity, discoverability, and monitoring.
• How to think deceptively with an overview of deception from a psychological perspective.
• How to use the See-Think-Do framework to integrate honeypots into your network and lure attackers into your traps.
• Tools and techniques for building service honeypots for commonly attacked services like HTTP, SSH, and RDP.
• How to hide honey tokens amongst legitimate documents, files, and folder.
• To entice attackers to use fake credentials that give them away.
• Techniques for embedding honey credentials in services and memory so that attackers will find and attempt to use them.
• How to build deception-based defenses against common attacks like Kerberoasting and LLMNR spoofing.
• Monitoring strategies for capturing honeypot interaction and investigating the logs they generate.

Applied Network Defense | Building Intrusion Detection Honeypots

Detection Engineering with Sigma will teach you how to write and tune Sigma rules to find evil in logs using real-world examples that take you through the detection engineering process. We’ll dissect real Sigma detection rules focused on finding a variety of malicious activity in diverse log sources. Once you have a good handle on these components, you’ll start writing and tuning your own rules in a series of case studies. In some case studies, I’ll describe a detection gap and you’ll write a rule on your own before I show you how I tackled the problem myself. In other scenarios, you’ll write or modify a rule on your own and submit it to me for feedback. In this course, you are never alone! I will be with you 100% of the way to help you understand the structure of Sigma rules, how to get from idea to finished rule, and best practices for writing resilient rules.