AN INTEGRATED TECHNIQUE IN ACHIEVING THE CONFIDENTIALITY, INTEGRITY AND ROBUSTNESS FOR BIG DATA TRANSMISSION

The data confidentiality, integrity, and data loss are issues during transmission due to
inadequate security scheme. These issues become more critical in the big data
transmission due to its own individual overhead. Moreover, multiple executions of
distinct security algorithms for maintaining confidentiality and integrity reduce
Throughput and add large number of additional bits as security overheads which
hamper the robustness against data loss. Conversely, an efficient compression
technique minimizes the data confidentiality as it eliminates the redundant data during
compression. However, the current literature fails to suggest any security mechanism
which can solve all these issues in a combinatorial way. Henceforth, this research
addresses these security issues collectively without negatively affecting each other. It
increases confidentiality and offers a backup for accidental data loss by combining
Simplified Encryption Standard (SDES) and an advanced pattern generation
technique which uses a unique pattern generation table. A novel dual round of error
control technique has been incorporated to maximize the data integrity by addressing
any number of transmission errors. A new compression technique is included to
enhance robustness against data loss by producing high compression efficiency and
resistance against transmission errors. Confidentiality and integrity are further
enhanced by integrating an advance audio steganography which uses a distinctive
sample selection for hiding bits. Experiments are conducted using standard Calgary
Corpuses, text files (up to 1 TB), and audio files to validate the objectives. The
proposed integrated technique offers higher confidentiality level by producing higher
Signal to Noise Ratio (60.79-60.91 dB) and Frequency Difference (0.37-0.27 Hz) than
other related security techniques. It can protect different security attacks by offering
higher Avalanche Effects (76.2%) and Entropy Value (7.77). It also offers higher
integrity and robustness against data loss by contributing lower percentages of
Information Loss (0.004-0.0009%) and Uncorrectable Error Rate (0.0096-0.0094%).