ProcGuard: Process Injection Behaviours Detection Using Fine-grained Analysis of API Call Chain with Deep Learning-Reference-Cited by-同舟云学术

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ProcGuard: Process Injection Behaviours Detection Using Fine-grained Analysis of API Call Chain with Deep Learning

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
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Author:

Wang Juan¹,Ma Chenjun¹,Li Ziang¹,Yuan Huanyu¹,Wang Jie¹

Affiliation:

1. Wuhan University,Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering,Wuhan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10063338/10063342/10063560.pdf?arnumber=10063560

Reference33 articles.

1. A Native APIs Protection Mechanism in the Kernel Mode against Malicious Code

2. A framework for diversifying windows native APIs to tolerate code injection attacks

3. Detection of DLL Inserted by Windows Malicious Code

4. Malicious behavior detection method using api sequence in binary execution path;kim;Tehni?ki Vjesnik,2021

5. Recurrent neural network for text classification with multi-task learning;liu,2016

Cited by 1 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. MemInspect: Memory Forensics for investigating Fileless Attacks;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

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