QuoVadis Posted June 27, 2018 Report Share Posted June 27, 2018 Fuzzing is an effective and widely used technique for finding security bugs and vulnerabilities in software. It inputs irregular test data into a target program to try to trigger a vulnerable condition in the program execution. Since the first random fuzzing system was constructed, fuzzing efficiency has been greatly improved by combination with several useful techniques, including dynamic symbolic execution, coverage guide, grammar representation, scheduling algorithms, dynamic taint analysis, static analysis and machine learning. In this paper, we will systematically review these techniques and their corresponding representative fuzzing systems. By introducing the principles, advantages and disadvantages of these techniques, we hope to provide researchers with a systematic and deeper understanding of fuzzing techniques and provide some references for this field. Download: https://we.tl/cupZyCCnwH 3 Quote Link to comment Share on other sites More sharing options...
Nytro Posted June 27, 2018 Report Share Posted June 27, 2018 Misto, de unde le scoti? Quote Link to comment Share on other sites More sharing options...
QuoVadis Posted June 27, 2018 Author Report Share Posted June 27, 2018 (edited) 26 minutes ago, Nytro said: Misto, de unde le scoti? Diferite subscriptii la jurnale, ebooks, disertatii, etc. Respectivul paper de mai sus de pe https://www.sciencedirect.com/journal/computers-and-security din editia de Iunie 2018 Edited June 27, 2018 by QuoVadis 1 Quote Link to comment Share on other sites More sharing options...
