Evaluating and Improving Hybrid Fuzzing

Author:

Jiang Ling1,Yuan Hengchen1,Wu Mingyuan1,Zhang Lingming2,Zhang Yuqun1

Affiliation:

1. Southern University of Science and Technology,Shenzhen,China

2. University of Illinois Urbana-Champaign,Champaign,USA

Funder

National Natural Science Foundation of China

Shenzhen Peacock Plan

National Science Foundation

Publisher

IEEE

Reference86 articles.

1. Intriguer

2. The octagon abstract domain

3. Grey-Box Concolic Testing on Binary Code

4. {MOPT}: Optimized mutation scheduling for fuzzers;lyu;28th USENIX Security Symposium (USENIX Security 19),0

5. {MEUZZ}: Smart seed scheduling for hybrid fuzzing;chen;23rd International Symposium on Research in Attacks Intrusions and Defenses (RAID 2020),0

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