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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Vydané v:	Multimedia systems Ročník 29; číslo 5; s. 2961 - 2977
Hlavní autori:	Sharma, Neha, Chakraborty, Chinmay, Kumar, Rajeev
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2023 Springer Nature B.V
Predmet:	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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Abstract	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.
AbstractList	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. 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.
Author	Kumar, Rajeev Sharma, Neha Chakraborty, Chinmay
Author_xml	– sequence: 1 givenname: Neha surname: Sharma fullname: Sharma, Neha organization: CSE, Chandigarh University – sequence: 2 givenname: Chinmay orcidid: 0000-0002-4385-0975 surname: Chakraborty fullname: Chakraborty, Chinmay email: cchakrabarty@bitmesra.ac.in organization: ECE, Birla Institute of Technology – sequence: 3 givenname: Rajeev surname: Kumar fullname: Kumar, Rajeev organization: CSE, Chandigarh University
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Snippet	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...
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SubjectTerms	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
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