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Paper Abstract and Keywords
Presentation 2020-01-22 15:50
Mutation Fuzzing Based on Type Estimation of Data Items Utilizing Data Writer
Yoko Higuchi, Nagisa Ishiura, Namba Noriyuki (Kwansei Gakuin Univ.) VLD2019-62 CPSY2019-60 RECONF2019-52
Abstract (in Japanese) (See Japanese page) 
(in English) This article proposes a novel way of acquiring information, which is used for enhancing efficiency of fuzzing for software security, from data generation programs. Although mutation-based fuzzers are generally easier to implement and more applicable than grammar-based fuzzers, they face the challenge of low data quality. Better results may be attained by providing information on data formats or grammars, it requires quite a human effort. Our method runs an appropriate data generation program under a debugger to record the size and the numbers of the data items as well as their values at every call to data output subroutines. Then data items are effectively mutated based on the guess about the data format from the information. A prototype system based on our method has been implemented in Ruby 2.5.2, which demonstrated higher error detection ability than a rundom fuzzer.
Keyword (in Japanese) (See Japanese page) 
(in English) Fuzzing / Mutation Fuzzing / Data writer / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 371, VLD2019-62, pp. 49-53, Jan. 2020.
Paper # VLD2019-62 
Date of Issue 2020-01-15 (VLD, CPSY, RECONF) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF VLD2019-62 CPSY2019-60 RECONF2019-52

Conference Information
Committee IPSJ-SLDM RECONF VLD CPSY IPSJ-ARC  
Conference Date 2020-01-22 - 2020-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Raiosha, Hiyoshi Campus, Keio University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) FPGA Applications, etc. 
Paper Information
Registration To VLD 
Conference Code 2020-01-SLDM-RECONF-VLD-CPSY-ARC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Mutation Fuzzing Based on Type Estimation of Data Items Utilizing Data Writer 
Sub Title (in English)  
Keyword(1) Fuzzing  
Keyword(2) Mutation Fuzzing  
Keyword(3) Data writer  
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1st Author's Name Yoko Higuchi  
1st Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
2nd Author's Name Nagisa Ishiura  
2nd Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
3rd Author's Name Namba Noriyuki  
3rd Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
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Speaker Author-1 
Date Time 2020-01-22 15:50:00 
Presentation Time 25 minutes 
Registration for VLD 
Paper # VLD2019-62, CPSY2019-60, RECONF2019-52 
Volume (vol) vol.119 
Number (no) no.371(VLD), no.372(CPSY), no.373(RECONF) 
Page pp.49-53 
#Pages
Date of Issue 2020-01-15 (VLD, CPSY, RECONF) 


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