Sapiens Chain: A Blockchain-based Cybersecurity Framework
It addresses cybersecurity issues for anonymous users by providing a decentralized and trustable solution, though it appears incremental in combining existing methods.
The paper tackles cybersecurity vulnerabilities by proposing Sapiens Chain, a blockchain-based framework that integrates semantic analysis, symbolic execution, and routing learning for intelligent auditing, achieving good accuracy in detecting hidden vulnerabilities.
Recently, cybersecurity becomes more and more important due to the rapid development of Internet. However, existing methods are in reality highly sensitive to attacks and are far more vulnerable than expected, as they are lack of trustable measures. In this paper, to address the aforementioned problems, we propose a blockchain-based cybersecurity framework, termed as Sapiens Chain, which can protect the privacy of the anonymous users and ensure that the transactions are immutable by providing decentralized and trustable services. Integrating semantic analysis, symbolic execution, and routing learning methods into intelligent auditing, this framework can achieve good accuracy for detecting hidden vulnerabilities. In addition, a revenue incentive mechanism, which aims to donate participants, is built. The practical results demonstrate the effectiveness of the proposed framework.