2025 INTERNATIONAL CONFERENCE ON NETWORKING AND NETWORK APPLICATIONS, NANA(2025)
Beijing Institute of Computer Technology and Application
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摘要
This study addresses the inefficiency of triggering vulnerability areas and low test case effectiveness in directed fuzzing by proposing an Exponential-weight algorithm for Exploration and Exploitation (Exp3) algorithm-based system. The system locates suspicious targets through function flow graph similarity analysis, constructs reward functions using code coverage metrics, and dynamically optimizes seed mutation via a multiarmed bandit model to reduce randomness. Evaluated on Bind9 and Dnsmasq with AFL, AFLGO, SelectFuzz, and two variants (Upper Confidence Bound (UCB) / Exp3-based), the Exp3-based tool demonstrated superior performance in Bind9 tests, achieving higher target/path coverage without complex confidence interval calculations. This strategy provides an innovative solution for directed fuzzing efficiency enhancement.