Σύγκριση μεθόδων

	Βαθιά Επιθεώρηση Πακέτων	Ανάλυση Μόλυνσης Δεδομένων
Πεδίο	Κρυπτογραφία	Κρυπτογραφία
Οικογένεια	Machine learning	Machine learning
Έτος προέλευσης	1990s	2005
Δημιουργός	Unknown	James Newsome
Τύπος	packet inspection technique	data flow tracking technique
Θεμελιώδης πηγή	Leconte, M., & Thomas, A. (2009). Deep Packet Inspection (DPI) technologies. In Proceedings of the Global Telecommunications Conference (GLOBECOM), 2009, pp. 1-6.	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).
Εναλλακτικές ονομασίες	DPI, complete packet inspection, packet filtering	taint analysis, information flow, data tainting
Συναφείς	3	3
Σύνοψη	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.