IEEE - Institute of Electrical and Electronics Engineers, Inc. - Angora: Efficient Fuzzing by Principled Search

2018 IEEE Symposium on Security and Privacy (SP)

Author(s): Peng Chen ; Hao Chen
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 May 2018
Conference Location: San Francisco, CA, USA
Conference Date: 20 May 2018
Page(s): 711 - 725
ISBN (Electronic): 978-1-5386-4353-2
ISSN (Electronic): 2375-1207
DOI: 10.1109/SP.2018.00046
Regular:

Fuzzing is a popular technique for finding software bugs. However, the performance of the state-of-the-art fuzzers leaves a lot to be desired. Fuzzers based on symbolic execution produce quality... View More

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