Abstract: Software vulnerability can cause disastrous consequences for information security. Earlier detection of vulnerabilities minimizes these consequences. Manual detection of vulnerable code is ...

Abstract: Detecting security vulnerabilities in software before they are exploited has been a challenging problem for decades. Traditional code analysis methods have been proposed, but are often ...

The proliferation of dApps is increasing the attack surface for exploitable vulnerabilities in smart contracts, and thus there is a need for verifiable detection methodologies. The Random Forest ...

Smart contracts are self-executing programs deployed on blockchain networks. Due to the immutable nature of blockchain, vulnerabilities in smart contracts can lead to catastrophic financial losses, as ...

Using graph neural networks and open-source repositories to detect code vulnerabilities. This is an implementation of the model described in: "Combining Graph-based Learning with Automated Data ...