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Computer Science
Cybersecurity
Honeypots
1. Introduction to Honeypots
2. Classification of Honeypots
3. Honeypot Architecture and Deployment
4. Data Collection and Analysis
5. Advanced Concepts
6. Legal and Ethical Considerations
Classification of Honeypots
By Level of Interaction
Low-Interaction Honeypots
Characteristics and Purpose
Service Emulation
Limited Attack Surface
Automated Responses
Emulated Services and Protocols
TCP/UDP Port Simulation
Protocol State Machines
Banner Grabbing Responses
Typical Use Cases
Network Scanning Detection
Automated Attack Identification
Large-Scale Deployment
Advantages
Safety and Simplicity
Low Resource Requirements
Easy Maintenance
Reduced Risk
Disadvantages
Limited Data Collection
Shallow Interaction Depth
Easy Detection by Sophisticated Attackers
Common Deployment Scenarios
Internet-Facing Sensors
Distributed Monitoring
Early Warning Systems
Medium-Interaction Honeypots
Characteristics and Purpose
Partial System Emulation
Scripted Responses
Application Layer Interaction
Simulating Operating System Responses
File System Emulation
Process Simulation
Network Stack Behavior
Supported Protocols and Services
HTTP/HTTPS
FTP
SSH/Telnet
Database Protocols
Advantages
Deeper Interaction Capability
More Realistic Responses
Better Data Collection
Moderate Resource Usage
Disadvantages
Increased Complexity
Higher Maintenance Requirements
Potential for Detection
Use Cases in Research and Production
Web Application Security
Protocol Analysis
Malware Collection
High-Interaction Honeypots
Characteristics and Purpose
Real Operating Systems
Actual Applications and Services
Full System Functionality
Real Operating Systems and Applications
Windows Systems
Linux Distributions
Database Servers
Web Applications
Full System Compromise Scenarios
Root/Administrator Access
Lateral Movement Opportunities
Data Exfiltration Paths
Advantages
Maximum Data Collection
Complete Realism
Advanced Attack Techniques
Comprehensive Forensics
Disadvantages
High Risk of Compromise
Resource Intensive
Complex Maintenance
Potential Legal Issues
Containment and Monitoring Requirements
Network Isolation
Outbound Traffic Control
Real-Time Monitoring
Automated Recovery
By Purpose and Scope
Production Honeypots
Goal: Improving Organizational Security
Internal Threat Detection
Attack Early Warning
Incident Response Enhancement
Deployment within Production Networks
Network Segmentation
Asset Inventory Integration
Monitoring Infrastructure
Focus on Detection and Response
Real-Time Alerting
Automated Response Actions
Threat Hunting Support
Integration with Incident Response
Playbook Integration
Evidence Collection
Attribution Support
Limitations and Considerations
Resource Allocation
Maintenance Overhead
False Positive Management
Research Honeypots
Goal: Studying Attacker Behavior
Attack Pattern Analysis
Tool and Technique Evolution
Threat Landscape Mapping
Gathering Global Threat Intelligence
Coordinated Data Collection
Trend Analysis
Predictive Modeling
Academic and Security Research Deployment
University Research Programs
Government Initiatives
Industry Collaboration
Data Sharing and Collaboration
Anonymous Data Sharing
Research Publication
Community Contributions
Long-Term Data Collection
Historical Trend Analysis
Longitudinal Studies
Baseline Establishment
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3. Honeypot Architecture and Deployment