VUzzer: Application-aware Evolutionary Fuzzing

Rawat, Sanjay; Jain, Vivek; Kumar, Ashish; Cojocar, Lucian; Giuffrida, Cristiano; Bos, Herbert

doi:10.14722/ndss.2017.23404

articleJan 1, 2017GREEN OA

VUzzer: Application-aware Evolutionary Fuzzing

SRSanjay Rawat VJVivek Jain AKAshish Kumar LCLucian Cojocar CGCristiano Giuffrida

International Institute of Information Technology, Hyderabad · Vrije Universiteit Amsterdam

Indexed incrossref

Abstract

Author(s): Sanjay Rawat, Vivek Jain, Ashish Kumar, Lucian Cojocar, Cristiano Giuffrida, Herbert Bos Download: Paper (PDF) Date: 27 Feb 2017 Document Type: Reports Additional Documents: Video Associated Event: NDSS Symposium 2017 Abstract: Fuzzing is an effective software testing technique to find bugs. Given the size and complexity of real-world applications, modern fuzzers tend to be either scalable, … Continued

Citation impact

589

total citations

FWCI: 97.24
Percentile: 100%
References: 31

Citations per year

Authors

SR
Sanjay RawatCorresponding
International Institute of Information Technology, Hyderabad, Vrije Universiteit Amsterdam
VJ
Vivek Jain
AK
Ashish Kumar
LC
Lucian Cojocar
International Institute of Information Technology, Hyderabad, Vrije Universiteit Amsterdam
CG
Cristiano Giuffrida
Vrije Universiteit Amsterdam, International Institute of Information Technology, Hyderabad

Topics & keywords

Topics

Software Testing and Debugging Techniques100%
Software Reliability and Analysis Research100%
Advanced Malware Detection Techniques100%

Keywords

Fuzz testing
Computer science
Programming language
Software

UN Sustainable Development Goals

Partnerships for the goals

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Funding

EC
European Commission
Awards: H2020, 644571
NO
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Awards: 639.023.309, NWO 639.023.309
H2
Horizon 2020 Framework Programme