Secure image transmission based on visual cryptography scheme and artificial neural network-particle swarm optimization-guided adaptive vector quantization

Das, Surya Sarathi; Sharma, Kaushik Das; Chandra, Jayanta K.; Bera, Jitendranath

doi:10.1117/1.jei.28.3.033031

Cited by 7 publications

(3 citation statements)

References 46 publications

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“…Chu et al gave a general overview of AI algorithms based on artificial intelligence technology, mainly focusing on their use in network intrusion detection [2]. Das et al help information and communication technology (ICT) practitioners use AI tools and methods to effectively manage their platforms and provide them with sufficient AI background to deal with real-life problems [3]. The combination of the two, that is, applying the expert system theory to the optimization of the mobile communication network, is an effective way to realize the "intellectualization" of the optimization of the mobile communication network.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Mobile Communication Network Optimization System Based on Artificial Intelligence

Duan¹,

Jun²

2021

Wireless Communications and Mobile Computing

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The objective of this paper is to study the key technology of the mobile communication network optimization system based on artificial intelligence technology. Specific Content. This paper designs the artificial intelligence agent- (IA-) type mobile communication network optimization tool iOS2CMCN, analyzes the relevant intelligent technology introduced into the system, and analyzes the feasibility and practicability of iOS2CMCN through application examples. The results show that the optimization of mobile communication networks is one of the important links in the construction of communication networks and ensuring the quality of network service. In the form of an artificial intelligence agent, iOS2CMCN absorbs the experience and knowledge of a large number of network optimization engineers and experts and realizes the intelligence and automation of mobile communication network optimization. It is proven that the fuzzy technology is introduced in theory, the practical problem is reasonably modeled, and the rule and case reasoning are used to simulate the thinking mode of a human being when solving the problem. It reduces the dependence of network optimization on humans, improves the efficiency of network optimization, and provides a new idea for practical mobile communication network optimization.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Mobile Communication Network Optimization System Based on Artificial Intelligence

Duan¹,

Jun²

2021

Wireless Communications and Mobile Computing

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“…This model also supports various image types and is applied to binary, grey, and color images. Das et al (2019), proposed that the unnecessary shares in VCS can grab the hacker's attention while performing transactions, thus posing a threat by revealing the secret image. To avoid undue attention, Shamir's (k, m) scheme can be used for encoding meaningless images.…”

Section: Related Workmentioning

confidence: 99%

Primary Color Based Numerous Image Creation in Visual Cryptography with the Help of Grasshopper Algorithm, Artificial Neural Network and Elliptic Curve Cryptography

Goon¹,

Pal²,

Dihidar³

2022

Journal of Computer Science

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The two primary restrictions of visual cryptography methods, contract, and security are well-known. Visual cryptography is considered secure if no share reveals information about the secure picture and this image is unreachable when shares are combined. Recursion can be used in a visual cryptography method to ensure the integrity of both arguments. Sometimes, the many shares are generated illogically in such a manner that they sometimes reveal the actual image. The model proposed in the paper has been proved beneficial in reducing the computation, noise, or distortion in the recreated image and helps in providing amended contracts. The suggested scheme uses unique pixel patterns to create a contract for the decrypted image. The contract for the recursion visual cryptography scheme is alterable from the white pixel pattern to new pixel patterns. The elliptic curve cryptography approach is used to ensure the privacy and security of the image. This study has taken a four-share mechanism in which each component is divided into four shares for each color segment. The proposed algorithm uses the Grasshopper algorithm to select the bit's positions where the encryption must be done. Neural Networks have been used as a cross validator in the proposed work model. A new fitness function is designed for the Grasshopper algorithm. The proposed algorithm is compared based on Mean Square Error and Peak Signal to Noise Ratio.

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“…A Boolean matrix is a matrix with entries from the Boolean domain {0, 1}. Boolean matrices are widely used in many fields such as visual cryptography [1], circuit design and analysis [2], algorithm designing of GPU (graphic processing unit) [3], testability design [4] and artificial intelligence [5].…”

Section: Introductionmentioning

confidence: 99%

Exponentiation Representation of Boolean Matrices in the Framework of Semi-Tensor Product of Matrices

Yue

Yan

2019

IEEE Access

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Semi-tensor product of matrices (STP of matrices) is a new matrix product and has been successfully applied to many fields, especially to logical dynamic systems. This paper considers how to represent a Boolean matrix as an exponentiation of another one in the framework of the STP of matrices. To this end, Boolean matrices (BMs) are classified into three types, single block, full block and non-full block BMs. For each kind of BMs, a sufficient and necessary condition for the exponentiation-representability is proposed, and an algebraic algorithm of finding all the exponentiation representations of a Boolean matrix is designed. As potential applications, a discussion of how to use the obtained results to analyze and synthesize logical systems mathematically, especially to finite state machines, is finally presented. The results of this paper may provide a theory basis for studying finite-valued systems, logical systems, logical networks and networked evolutionary games, etc. INDEX TERMS Finite automata, finite state machines, finite-valued systems, logical systems, semi-tensor product, semi-tensor product of matrices.

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Secure image transmission based on visual cryptography scheme and artificial neural network-particle swarm optimization-guided adaptive vector quantization

Cited by 7 publications

References 46 publications

[Retracted] Mobile Communication Network Optimization System Based on Artificial Intelligence

[Retracted] Mobile Communication Network Optimization System Based on Artificial Intelligence

Primary Color Based Numerous Image Creation in Visual Cryptography with the Help of Grasshopper Algorithm, Artificial Neural Network and Elliptic Curve Cryptography

Exponentiation Representation of Boolean Matrices in the Framework of Semi-Tensor Product of Matrices

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