Data Security and Malware Detection in Cloud Storage Services

Abstract

Cloud storage systems facilitate a platform to store and manage cyberspace data for a wide range of applications. In cloud storage connected to the Internet, a large amount of data is uploaded and accessed by numerous users. Thus, security and privacy of data is of utmost importance to end users regardless of the nature of the data being stored in clouds. After outlining the development of cutting-edge of cloud storage systems, we elaborate data security issues in cloud storage. We pay particular attention to malware detection techniques customized for cloud storage. The overarching goal of our solution is to guarantee that data are malware free in cloud storage prior to being accessed by end users. Inspired by the architecture of cloud storage, we propose a popularity-aware malware detection strategy to enhance the security of cloud storage systems by protecting high-risk data. Data risk is gauged through popularity, because popular data deserve high priority when it comes to access frequencies. Our proposed technique speculates data popularity, which is an avenue to prioritize data objects amid time-consuming malware detection procedures. Our technique is conducive to keeping malware at bay when popular data are frequently accessed by clients.