A Data Security-based Efficient Compression and Encryption for Cloud Computing

In recent years, big data processing has grown increasingly prevalent in cloud-based computing platforms such as MapReduce, Hadoop, and Dryad. Data are organized into many smaller chunks in these systems, and each chunk is mirrored throughout multiple servers. The expanding market for information processing results in a high computation need, which is generally inadequate at the user's end. Compression technologies minimize data representation complexity, improving efficient information density. Data compression is a crucial approach for lowering the volume of textual information and retaining the same quantity of information in fewer bits, hence reducing file storage space, asset utilization, or communication bandwidth. Our suggested approach includes a two-factor data encryption protection mechanism that is based on IBE (Identity-based encryption) and incorporates the unique customer's users. The supervisor transmits condensed and protected data and documents. LZ4 algorithms allow for encryption and compression. Conversely, compression improves security while demanding less storage space. These password-protected files will be kept on the cloud and the key will be issued.