Lossless data compression technique with encryption based approach
Komal Sharma, Kunal Gupta · 2017
This paper proposes a new compression technique and compares its performance with the popular adaptive Huffman encoding. The main objective of our approach was to shrink the original data optimally without losing data integrity. The above proposed algorithm employs static variable length non prefix codes for ASCII characters that have been assigned by analyzing the character occurring probabilities in variables lossless data file. We have used several lossless data formats like BMP, PNG, TXT, WAV, FLAC, AAC, WMV, DOC. For comparison and analysis we have used compression ratio, compression time, compression factor and saving percentage. A windows executable application has been constructed to facilitate and ease application usage. Moreover the addition of encryption algorithm(Caesar Cipher) will ensure the file protection and privacy. This compression can easily handle large files and without consuming much of system's resources.