A deep learning based static taint analysis approach for IoT software vulnerability location

Volume: 152, Pages: 107139 - 107139
Published: Feb 1, 2020
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
Volume
152
Pages
107139 - 107139
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.