Detection, Analysis and Prevention of Rust Vulnerabilities A Software Engineering Methodology
Year: 2024
Type: dissertation
Abstract: Rust stands out as a top choice among memory-safe programming languages, offering both safety and high performance for software development. It provides rigorous checks, already at the compilation stage, proposing Safe and Unsafe paradigms. The latter provides flexibility by bypassing certain safety checks but risking reintroducing vulnerabilities if used irresponsibly. This thesis proposes a methodology for Rust secure coding, presenting best practices and testing tools. Through experiments and case studies, we demonstrate how the proposed methodology supports the effectiveness of risk management and mitigation for designing and implementing safe and reliable software.
Author: CANUZZI, LUCA
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7055526025
Cites:
Cited by:
Related to: