Open AccessA scalable approach for vulnerability discovery based on security patches
Author(s) -
Hongzhe Li,
Hyuckmin Kwon,
Jonghoon Kwon,
Heejo Lee
Publication year - 2014
Publication title -
lirias (ku leuven)
Language(s) - English
Resource type - Book series
Subject(s) - computer science , concolic testing , fuzz testing , vulnerability (computing) , scalability , code reuse , code (set theory) , false positive paradox , taint checking , test suite , abstract syntax tree , vulnerability management , static analysis , tracing , test case , vulnerability assessment , computer security , software , programming language , symbolic execution , operating system , artificial intelligence , parsing , machine learning , psychology , regression analysis , set (abstract data type) , psychological resilience , psychotherapist
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