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AFLGo_D: A Novel Power Schedule Scheme Considering Multiple Factors Dynamically for Directed Fuzzing

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

AFLGo's power schedule has some problems to be solved. This paper proposes a novel power schedule scheme for AFLGo. In the scheme, the new simulated annealing algorithm for AFLGo, the AFLGo power schedule algorithm based on the number of uncovered branches, and the AFLGo power schedule algorithm based on the target reachability are included. The scheme is integrated into AFLGo-D. Through experimental comparison, it is verified that AFLGo-D has improved the path coverage rate, the shortest distance of the seed, and the number of crashes found.

Original languageEnglish
Title of host publicationProceedings - 2024 31st Asia-Pacific Software Engineering Conference, APSEC 2024
PublisherIEEE Computer Society
Pages517-518
Number of pages2
ISBN (Electronic)9798331534011
DOIs
StatePublished - 2024
Event31st Asia-Pacific Software Engineering Conference, APSEC 2024 - Chongqing, China
Duration: 3 Dec 20246 Dec 2024

Publication series

NameProceedings - Asia-Pacific Software Engineering Conference, APSEC
ISSN (Print)1530-1362

Conference

Conference31st Asia-Pacific Software Engineering Conference, APSEC 2024
Country/TerritoryChina
CityChongqing
Period3/12/246/12/24

Keywords

  • directed fuzzing
  • power schedule
  • simulated annealing algorithm

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