Secure and efficient retrieval of video file using bloom filter and hybrid encryption algorithms

Abstract

Video files are the important source for the big data. Storing, managing and processing the video files are becoming more challenging day by day. Securing and retrieving the video files from the cloud storage has become one of the hot research topic as the vulnerability remains high. Usually, the confidential video files such as CCTV monitoring, OTT videos are transferred to the cloud storage using an insecure communication network. To protect the video file, existing technique uses a symmetric or single key encryption, which uses only one key to perform encryption and decryption. Symmetric key encryption reduces the work load key management and computation time. However, symmetric algorithms are vulnerable to various attacks as they use only single key to perform encryption and decryption. Likewise, existing video file encryption are inefficient to retrieve a particular block of data. In this research work, we create a hybrid model, which integrates the symmetric and asymmetric key encryption to tighten the security. Likewise, to retrieve a particular block of video file from the cloud storage, a bloom filter based index structure is maintained by the cloud service provider. The experimental result shows that the proposed model reduces the computation time and improves the security of the multimedia files stored in the cloud.