Reverse Analysis and Vulnerability Detection for Network System Software

In information era advocating ubiquitous computing, computing resources are susceptible to attack without guaranteeing security of network system. It is necessary and desirable for network system to employ powerful safeguard to protect itself against diversified vulnerabilities. In this paper, we present reverse analysis and vulnerability detection for network system software (RAVDNSS), a novel approach which uses reverse analysis and vulnerability detection technologies to deal with security problems on critical network system. Adaptive reverse analysis we propose is used to dig out potential vulnerabilities, which might be abused by unauthorized and unlawful communities. A new vulnerability detection model is designed to provide safety precautions through detecting vulnerabilities and monitoring program behaviors. Our investigation aims to improve the ability to guard network system against malicious attacks. The proposed schemes demonstrate that our approach can effectively perform security detection and management of network system software.