sFuzz: An efficient adaptive fuzzer for solidity smart contracts
Smart contracts are Turing-complete programs that execute on the infrastructure of the blockchain, which often manage valuable digital assets. Solidity is one of the most popular programming languages for writing smart contracts on the Ethereum platform. Like traditional programs, smart contracts ma...
Saved in:
Main Authors: | NGUYEN, Tai D., PHAM, Long H., SUN, Jun, LIN, Yun, TRAN, Minh Quang |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2020
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/5065 https://ink.library.smu.edu.sg/context/sis_research/article/6068/viewcontent/sFuzz_av.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
sFuzz2.0: Storage-access pattern guided smart contract fuzzing
by: WANG, Haoyu, et al.
Published: (2024) -
xFuzz: Machine learning guided cross-contract fuzzing
by: XUE, Yinxing, et al.
Published: (2024) -
SmartFuzz: An automated smart fuzzing approach for testing SmartThings apps
by: SHAR, Lwin Khin, et al.
Published: (2020) -
Typestate-guided fuzzer for discovering use-after-free vulnerabilities
by: WANG, Haijun, et al.
Published: (2020) -
Cerebro: Context-aware adaptive fuzzing for effective vulnerability detection
by: LI, Yuekang, et al.
Published: (2019)