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Programování orientované na návrat (Return-Oriented Programming)×Hloubková inspekce paketů×
OborKryptografieKryptografie
RodinaMachine learningMachine learning
Rok vzniku20071990s
TvůrceHovav ShachamUnknown
Typcode reuse attack methodologypacket inspection technique
Původní zdrojShacham, H. (2007). The geometry of innocent flesh on the bone: Return-into-libc without function calls (on the x86). In Proceedings of the 14th ACM Conference on Computer and Communications Security (CCS 2007), pp. 552-561. DOI ↗Leconte, M., & Thomas, A. (2009). Deep Packet Inspection (DPI) technologies. In Proceedings of the Global Telecommunications Conference (GLOBECOM), 2009, pp. 1-6. link ↗
Další názvyROP, code reuse attack, Turing-complete gadgetDPI, complete packet inspection, packet filtering
Příbuzné33
ShrnutíReturn-Oriented Programming (ROP) is an exploit technique that chains together short sequences of instructions (gadgets) from existing executable code to perform arbitrary computation, bypassing security defenses like code injection prevention. Introduced by Hovav Shacham in 2007, ROP exploits code reuse to execute malicious logic even when data execution prevention (DEP) and code signing prevent direct code injection. ROP is considered one of the most powerful exploit techniques against modern defense mechanisms and has been demonstrated to be Turing-complete.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.
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ScholarGatePorovnat metody: Return-Oriented Programming · Deep Packet Inspection. Získáno 2026-06-15 z https://scholargate.app/cs/compare