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| Kiểm tra gói tin sâu× | Phân tích vết bẩn× | |
|---|---|---|
| Lĩnh vực | Mật mã học | Mật mã học |
| Họ | Machine learning | Machine learning |
| Năm ra đời≠ | 1990s | 2005 |
| Người khởi xướng≠ | Unknown | James Newsome |
| Loại≠ | packet inspection technique | data flow tracking technique |
| Công trình gốc≠ | Leconte, M., & Thomas, A. (2009). Deep Packet Inspection (DPI) technologies. In Proceedings of the Global Telecommunications Conference (GLOBECOM), 2009, pp. 1-6. link ↗ | Newsome, J., & Song, D. X. (2005). Dynamic taint analysis for automatic detection, analysis, and signature generation of exploits on commodity software. In Network and Distributed System Security Symposium (NDSS 2005). link ↗ |
| Tên gọi khác | DPI, complete packet inspection, packet filtering | taint analysis, information flow, data tainting |
| Liên quan | 3 | 3 |
| Tóm tắt≠ | Deep Packet Inspection (DPI) is a network traffic analysis technique that examines the complete packet payload beyond header information to identify, classify, and potentially control data traffic. Developed in the 1990s for network monitoring and management, DPI analyzes packet contents to detect protocols, applications, and patterns, enabling security monitoring, quality of service management, and content filtering. DPI is widely used by Internet service providers, enterprises, and security organizations to monitor network traffic and enforce policies. | Taint analysis is a data flow analysis technique that tracks how untrusted (tainted) input flows through a program to identify vulnerabilities where tainted data reaches dangerous operations (sinks). Formalized by Newsome and Song in 2005, taint analysis marks input data as tainted and propagates taint labels through the program, alerting when tainted data reaches sensitive operations like SQL queries or system calls. Taint analysis is fundamental to detecting injection vulnerabilities and is widely used in dynamic analysis tools and security monitoring systems. |
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