اپلیکیشن اندرویدی فلش‌کارت آموزشی توسعه سیستم های تشخیص نفوذ

🎓 دوره آموزشی جامع

📚 اطلاعات دوره

عنوان دوره: دوره توسعه سیستم های تشخیص نفوذ

موضوع کلی: برنامه نویسی

موضوع میانی: امنیت سایبری و برنامه‌نویسی امن

📋 سرفصل‌های دوره

• 1. Introduction to Intrusion Detection Systems Fundamentals
• 2. Network Protocol Layers and IDS Relevance
• 3. Packet Capture and Raw Data Extraction
• 4. Signature-Based Detection Methodologies
• 5. Anomaly Detection Using Statistical Models
• 6. Stateful Inspection and Protocol Analysis
• 7. Rule Engine Design for IDS
• 8. False Positive/Negative Optimization
• 9. Logging Standards and Alert Formatting
• 10. Integration with Firewall and Access Control
• 11. Traffic Normalization and Preprocessing
• 12. Protocol-Specific Detection Rules
• 13. Challenges in Encrypted Traffic Inspection
• 14. Machine Learning Basics for Cybersecurity
• 15. Supervised Learning Models for Threat Detection
• 16. Unsupervised Anomaly Detection Techniques
• 17. Feature Selection and Engineering for Network Data
• 18. IDS Performance Metrics and KPIs
• 19. Confusion Matrix Analysis and Threshold Tuning
• 20. Real-Time Data Streaming Architectures
• 21. Apache Kafka and IDS Pipeline Integration
• 22. In-Memory Packet Processing Techniques
• 23. Distributed IDS and Sensor Networks
• 24. Multi-Sensor Data Correlation
• 25. Threat Intelligence Feeds Integration
• 26. Open Source IDS Platforms Comparative Study
• 27. Snort Rule Writing Essentials
• 28. Suricata Advanced Detection Features
• 29. Zeek (Bro) Network Traffic Analysis
• 30. Custom Plugin and Module Development
• 31. Automation of Alert Triage and Response
• 32. SOAR Platform Integration with IDS
• 33. Attack Surface Mapping Methodologies
• 34. Detection of Common Attack Vectors
• 35. Malware Command and Control Traffic Analysis
• 36. Phishing and Social Engineering Detection
• 37. Lateral Movement and Persistence Detection
• 38. Data Exfiltration Prevention Techniques
• 39. DNS Tunneling and Encoded Channel Detection
• 40. HTTP and HTTPS Traffic Inspection Strategies
• 41. SSH, RDP, and VPN Security Monitoring
• 42. Cloud-Native Intrusion Detection Approaches
• 43. Container Security and Runtime Monitoring
• 44. Kubernetes Audit Log Analysis
• 45. Serverless Function and Microservice Monitoring
• 46. IDS in Virtualized and Hypervisor Environments
• 47. Time Synchronization and Log Integrity
• 48. Forensic Investigation of IDS Alerts
• 49. Dashboard Design and Visualization Best Practices
• 50. Legal, Ethical, and Compliance Frameworks
• 51. Case Study: Port Scan Detection and Response
• 52. Case Study: Brute Force Attack Identification
• 53. Case Study: Data Breach Indicator Analysis
• 54. Practical Project: Basic IDS Prototype Development
• 55. Practical Project: Custom Rule Creation
• 56. Practical Project: Automated Response Workflow
• 57. Maintenance Best Practices for IDS Stability
• 58. Update Management and Rule Versioning
• 59. Future Trends: AI-Driven Threat Detection
• 60. Future Trends: Zero Trust and Adaptive Security