A Lossless Layered-Based Non-Encoding Plain Text Compression and Encryption Algorithm Utilizing Binary Fragmentation and Defragmentation Technique

This paper proposes an innovative fusion of encryption and compression techniques that optimizes data handling and security. The approach employs a layered non-encoding encryption-compression algorithm DQRc (Data in Quick Response Code) that attempts to redefine data compression with layer-by-layer...

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Published in:IEEE access Vol. 13; p. 1
Main Authors: Mishra, Pratham, Pathak, Sunil, Singh, Bhupesh Kumar, Katara, Mayuree, Kumar, Gireesh
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.01.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Binary Fragmentation
Coding
Complexity theory
Computer crashes
Data compression
Data integrity
Data loss
Data management
Data Security
Data transmission
Decryption
Encoding
Encryption
Entropy
Layered Encryption
Lossless Data Compression
Merging
Non-Encoding Compression
Optimization
Plain Text Compression
QR codes
Transforms
ISSN:2169-3536, 2169-3536
Online Access:Get full text
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Abstract This paper proposes an innovative fusion of encryption and compression techniques that optimizes data handling and security. The approach employs a layered non-encoding encryption-compression algorithm DQRc (Data in Quick Response Code) that attempts to redefine data compression with layer-by-layer key-based encryption. This paper marks a transformative milestone in data optimization and protection, it offers a solution that not only efficiently compresses data but also safeguards it with robust encryption. In comparative analyses with convectional encryption-compression algorithms, the proposed method demonstrates significant improvements across several key performance indicators. he DQRc algorithm notably reduces processing times, achieving faster encryption and decryption cycles which is essential for time-sensitive applications. Furthermore, its design ensures completely lossless decompression, thereby delivering 100% data accuracy-a critical enhancement over existing methods that sometimes incur minor data losses. In terms of compression efficiency, the algorithm excels by achieving a higher compression percentage, measured by the absolute difference between the actual file size and the compressed size. This superior compression capability enables more effective storage utilization and faster data transmission without compromising the integrity of the original information. Overall, the DQRc algorithm represents a significant advancement in secure data management, providing an optimal blend of speed, accuracy, and compression efficiency.
AbstractList This paper proposes an innovative fusion of encryption and compression techniques that optimizes data handling and security. The approach employs a layered non-encoding encryption-compression algorithm DQRc (Data in Quick Response Code) that attempts to redefine data compression with layer-by-layer key-based encryption. This paper marks a transformative milestone in data optimization and protection, it offers a solution that not only efficiently compresses data but also safeguards it with robust encryption. In comparative analyses with convectional encryption-compression algorithms, the proposed method demonstrates significant improvements across several key performance indicators. he DQRc algorithm notably reduces processing times, achieving faster encryption and decryption cycles which is essential for time-sensitive applications. Furthermore, its design ensures completely lossless decompression, thereby delivering 100% data accuracy-a critical enhancement over existing methods that sometimes incur minor data losses. In terms of compression efficiency, the algorithm excels by achieving a higher compression percentage, measured by the absolute difference between the actual file size and the compressed size. This superior compression capability enables more effective storage utilization and faster data transmission without compromising the integrity of the original information. Overall, the DQRc algorithm represents a significant advancement in secure data management, providing an optimal blend of speed, accuracy, and compression efficiency.
This paper proposes an innovative fusion of encryption and compression techniques that optimizes data handling and security. The approach employs a layered non-encoding encryption-compression algorithm DQRc (Data in Quick Response Code) that attempts to redefine data compression with layer-by-layer key-based encryption. This paper marks a transformative milestone in data optimization and protection, it offers a solution that not only efficiently compresses data but also safeguards it with robust encryption. In comparative analyses with convectional encryption-compression algorithms, the proposed method demonstrates significant improvements across several key performance indicators. The DQRc algorithm notably reduces processing times, achieving faster encryption and decryption cycles which is essential for time-sensitive applications. Furthermore, its design ensures completely lossless decompression, thereby delivering 100% data accuracy—a critical enhancement over existing methods that sometimes incur minor data losses. In terms of compression efficiency, the algorithm excels by achieving a higher compression percentage, measured by the absolute difference between the actual file size and the compressed size. This superior compression capability enables more effective storage utilization and faster data transmission without compromising the integrity of the original information. Overall, the DQRc algorithm represents a significant advancement in secure data management, providing an optimal blend of speed, accuracy, and compression efficiency.
Author Mishra, Pratham
Kumar, Gireesh
Pathak, Sunil
Katara, Mayuree
Singh, Bhupesh Kumar
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  organization: Manipal University Jaipur, Jaipur, India
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SubjectTerms Algorithms
Binary Fragmentation
Coding
Complexity theory
Computer crashes
Data compression
Data integrity
Data loss
Data management
Data Security
Data transmission
Decryption
Encoding
Encryption
Entropy
Layered Encryption
Lossless Data Compression
Merging
Non-Encoding Compression
Optimization
Plain Text Compression
QR codes
Transforms
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Title A Lossless Layered-Based Non-Encoding Plain Text Compression and Encryption Algorithm Utilizing Binary Fragmentation and Defragmentation Technique
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