A Blockchain-based Framework for Detecting Malicious Mobile Applications in App Stores
This addresses security for smartphone users and app stores, but it appears incremental as it applies blockchain to an existing malware detection context.
The paper tackles the problem of smartphone malware by proposing a Blockchain-Based Malware Detection Framework (B2MDF) for app stores, which uses dual private blockchains and a consortium blockchain to store features and detection results, resulting in a system that shares feature blocks with third parties to improve accuracy.
The dramatic growth in smartphone malware shows that malicious program developers are shifting from traditional PC systems to smartphone devices. Therefore, security researchers are also moving towards proposing novel antimalware methods to provide adequate protection. This paper proposes a Blockchain-Based Malware Detection Framework (B2MDF) for detecting malicious mobile applications in mobile applications marketplaces (app stores). The framework consists of two internal and external private blockchains forming a dual private blockchain as well as a consortium blockchain for the final decision. The internal private blockchain stores feature blocks extracted by both static and dynamic feature extractors, while the external blockchain stores detection results as blocks for current versions of applications. B2MDF also shares feature blocks with third parties, and this helps antimalware vendors to provide more accurate solutions.