CSQF-BA: Efficient Container Query Technology for Cloud Security Query Framework with Bat Algorithm

With the development of cloud computing, the privacy of data query on the cloud has become a hot topic in academia in recent years. This paper proposes a new security query system architecture for cloud computing. In the architecture design, encryption algorithm is introduced to ensure the safe storage and query of original data in the cloud. When the container technology is applied to the framework, the volume in the container can also be queried in the encrypted state. Data management is achieved by imaging and transferring data on Docker containers. However, this kind of data management can cause a lot of unnecessary interactions, which results in a waste of resources. To further improve the efficiency of data management, this paper proposes a method for combining the Bat Algorithm with data query to apply it to Docker containers to find volumes. This method utilizes the search capabilities of the Bat Algorithm combined with data query technology to efficiently search and locate volumes in Docker containers. To achieve more secure and efficient volume query function, this paper proposes Cloud Security Query Framework with Bat Algorithm (CSQF-BA). The CSQF-BA includes three optimized query techniques, All Condition Finding Algorithm-Bat Algorithm (ACFA-BA), Specific Finding Algorithm-Bat Algorithm (SFA-BA), and Range Finding Algorithm-Bat Algorithm (RFA-BA). Through experiments, it is proven that using the Bat Algorithm’s SFA-BA and RFA-BA can quickly and efficiently meet the user’s query requirements. RFA-BA performs well in resource utilization, maximizing the use of available resources.