VulHunter: A Discovery for Unknown Bugs Based on Analysis for Known Patches in Industry Internet of Things-Reference-Cited by-同舟云学术

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VulHunter: A Discovery for Unknown Bugs Based on Analysis for Known Patches in Industry Internet of Things

Published:2020-04-01 Issue:2 Volume:8 Page:267-279
ISSN:2168-6750
Container-title:IEEE Transactions on Emerging Topics in Computing
language:
Short-container-title:IEEE Trans. Emerg. Topics Comput.

Author:

Xiao Fu^ORCID,Sha Le-Tian,Yuan Zai-Ping,Wang Ru-Chuan

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Human-Computer Interaction,Information Systems,Computer Science (miscellaneous)

Link

http://xplorestaging.ieee.org/ielx7/6245516/9109372/08047972.pdf?arnumber=8047972

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hierarchy-Aware Representation Learning for Industrial IoT Vulnerability Classification;IEEE Transactions on Industrial Informatics;2024

2. Modularizing Directed Greybox Fuzzing for Binaries over Multiple CPU Architectures;Lecture Notes in Computer Science;2024

3. Creating a Large-scale Memory Error IoT Botnet Using NS3DockerEmulator;2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN);2023-06

4. IoTCom: Dissecting Interaction Threats in IoT Systems;IEEE Transactions on Software Engineering;2023-04-01

5. A smart collaborative framework for dynamic multi-task offloading in IIoT-MEC networks;Peer-to-Peer Networking and Applications;2023-01-11

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