Static vulnerability mining of IoT devices based on control flow graph construction and graph embedding network-Reference-Cited by-同舟云学术

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Static vulnerability mining of IoT devices based on control flow graph construction and graph embedding network

Published:2023-01 Issue: Volume:197 Page:267-275
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Cheng Yuan,Cui Baojiang,Chen Chen,Baker Thar^ORCID,Qi Tao

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference38 articles.

1. CVE, http://cve.mitre.org/.

2. IoT vulnerability assessment for sustainable computing: Threats, current solutions, and open challenges;Anand;IEEE Access,2020

3. NVD, https://nvd.nist.gov/.

4. CNVD, https://www.cnvd.org.cn/

5. VulPecker: An automated vulnerability detection system based on code similarity analysis;Li,2016

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1. Vulnerability detection tool in source code by building and leveraging semantic code graph.;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

2. Automating shareable cyber threat intelligence production for closed source software vulnerabilities: a deep learning based detection system;International Journal of Information Security;2024-07-08

3. UEFI-based Research on the Inner Operation Mechanism and Characteristics of Firmware Vulnerabilities in Key Devices of Electric Power Monitoring Systems;Applied Mathematics and Nonlinear Sciences;2024-01-01

4. IoT Malware Analysis Using Federated Learning: A Comprehensive Survey;IEEE Access;2023

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