Original paper
A deep learning based static taint analysis approach for IoT software vulnerability location
Abstract
Computer system vulnerabilities, computer viruses, and cyber attacks are rooted in software vulnerabilities. Reducing software defects, improving software reliability and security are urgent problems in the development of software. The core content is the discovery and location of software vulnerability. However, traditional human experts-based approaches are labor-consuming and time-consuming. Thus, some automatic detection approaches are...
Paper Details
Title
A deep learning based static taint analysis approach for IoT software vulnerability location
Published Date
Feb 1, 2020
Journal
Volume
152
Pages
107139 - 107139
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Notes
History