EdSri: An Enhanced Approach Towards Optimizing Cloud Communication by Hybridizing Cryptography and Steganography with Huffman Compression Method

In this rapidly progressing technological age, the likelihood of transmitting inadequately secured data in the cloud is high. Over the past several decades, experts in data and information security have tested and experimented with numerous hashing combinations. However, these have proven to be insufficient in preventing the interception and decoding of confidential text during transmission. Therefore, methodologically, in this current research, cryptography and steganography is diversified into using three different encryption algorithms of RSA, AES and LSB with further compressing of the to-be-communicated data, to enable the use of limited space in the cloud, as well as permit fast and quick embedded message transmission. The proposed architecture, EdSri has been implemented and tested against few existing models and found to show improved performance in terms of measured security metrics such as password strength, time between login attempts, login attempt rate, failed login attempt rate, device and browser fingerprinting, and also, measuring compression parameters like structural similar index, compression time, compression ratio, compression speed, bit per pixel, saving percentage, mean squared error, and peak to noise signal ratio, EdSri would hopefully become viable platform for exchanging secured information among the cloud communicators when hosted.