Optimized multimedia data through computationally intelligent algorithms

In the field of data exchange, the security of information is the critical aspect. This void in the security helped the evolution of steganography to address the problem of security, especially when highly critical information exchange is the priority. Better and advanced level of security has been...

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Veröffentlicht in:Multimedia systems Jg. 29; H. 5; S. 2961 - 2977
Hauptverfasser: Sharma, Neha, Chakraborty, Chinmay, Kumar, Rajeev
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2023
Springer Nature B.V
Schlagworte:
Algorithms
Ant colony optimization
Bit error rate
Computer Communication Networks
Computer Graphics
Computer Science
Cryptography
Cryptology
Data exchange
Data Storage Representation
Foraging behavior
Huffman codes
Multimedia Information Systems
Operating Systems
Optimization algorithms
Security
Signal to noise ratio
Software
Special Issue Paper
Steganography
Wavelet transforms
Multimedia data
Peak signal to noise ratio
Ant colony optimization
Huffman encoding
Image steganography
Bit error rate
Firefly optimization
Discrete wavelet transforms
Structural similarity index
Particle swarm optimization
Mean square error
ISSN:0942-4962, 1432-1882
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Zusammenfassung:In the field of data exchange, the security of information is the critical aspect. This void in the security helped the evolution of steganography to address the problem of security, especially when highly critical information exchange is the priority. Better and advanced level of security has been attained using the techniques of steganography with cryptography. However, it has been observed that steganographic techniques principled on computationally intelligent or inspired by nature algorithms are gaining much attention. The paper proposes a method for image steganography in transform domain using hybridization of two computationally intelligent algorithms, i.e., firefly optimization algorithm and ant colony optimization algorithm with Huffman encoding to address the gap of high payload. Comparative analysis of the proposed steganographic tool with other existing methods and analysis of the values obtained against some key performance terms like PSNR (peak signal to noise ratio), MSE (mean square error), BER (bit error rate) and SSI (structural similarity index) determines the proposed algorithm as a powerful method. The proposed tool achieves the PSNR of 68.06 dB and the embedding capacity of 985,682 bits.
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ISSN:0942-4962
1432-1882
DOI:10.1007/s00530-022-00918-6