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Data integrity, confidentiality and data loss are the issues that arise during transmission because of the use of an inadequate security scheme. These issues become particularly critical for big data transmission due to its own individual overhead causes. Moreover, multiple executions of distinct security algorithms for maintaining confidentiality and integrity reduce throughput and add a large number of additional bits as security overhead that hampers the robustness against data loss. Conversely, an efficient compression technique minimizes data confidentiality, as it eliminates redundant data during compression. Contemporary studies shows the lack of security policies for solving the mentioned issues in a combinatorial manner. The current study proposes an innovative integrated technique to collectively addresses the above security issues. It increases confidentiality and offers a backup for accidental data loss by combining the simplified data encryption standard (SDES) and an advanced pattern generation technique that uses a unique pattern generation table. A novel dual round of error control technique has been introduced to maximize data integrity by considering an arbitrary number of transmission errors. A new compression technique is adopted to enhance the robustness against data loss along with high compression efficiency and resistance against transmission errors. Confidentiality and integrity are further enhanced by integrating advanced audio steganography that uses a distinctive sample selection for hiding bits. Additionally, the implementation of the proposed innovative integrated technique in the graphics processing unit (GPU) environment increases the execution speed and reduces time complexity with extended parallel processing power. Furthermore, the application of a GPU enhances the execution speed at least 28-fold compared to the CPU performance. Experiments are performed using the standard Calgary Corpuses, text files (sized up to 1 TB), and audio files to validate the objectives. The proposed method offers a higher signal-to-noise ratio (SNR), entropy, and avalanche effect (AE) and lower amplitude difference (AD), and uncorrectable error rate (UER) as well as a lower percentage of information loss (IL), which substantiates its potential to offer higher data confidentiality and integrity. The capacity to reduce the computational complexity is further measured with compression ratio (CR) and throughput. The results further depicts the method's superiority in offering confidentiality and integrity over contemporary approaches. INDEX TERMS SDES, pattern string generation and the incorporation technique, dual round XOR operations to control transmission error, data compression, LSB-based audio steganography, GPU-oriented integrated technique, signal-to-noise ratio (SNR), entropy, avalanche effect (AE), amplitude difference (AD), uncorrectable error rate (UER), percentage of information loss (IL), compression ratio (CR) and throughput.

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To fulfill the needs for secure and lightweight data transmission approach, we propose a new plain text transmission Technique, which uses compressed bit stream of information as a mean of communications. This technique reduces channel overhead, information loss, and high bandwidth requirement. It maximizes the data security as it nullifies information notching, and prevents the attempt of modification by unauthorized third party. The proposed scheme extends security by incorporating pattern recognition, data encryption using SDES encryption technique, and reduces extra overhead by data compression technique. To justify the efficiency of our proposed technique, we tested our proposed technique with different input text sizes. The security part, related with the proposed technique is tested by means of preventing capacity against the different security attacks. The efficiency of the proposed security part is measured by calculating the information loss during the transmission. The proposed compression technique is tested by taking standard Calgary Corpus as inputs. The compression ratio of the proposed technique has been calculated. The result shows that the proposed scheme is efficient and competent when compared to popular existing techniques.