RETRACTED ARTICLE: Dual layer security of data using LSB inversion image steganography with elliptic curve cryptography encryption algorithm

Shanthakumari, R.; Malliga, S.

doi:10.1007/s11042-019-7584-6

Cited by 24 publications

(15 citation statements)

References 20 publications

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“…This reference paper produced good image quality and embedding capability comparison with existing work. Shanthakumari, R. and S. Malliga (2020) [7] in this approach, authors proposed the Elliptic Curve Cryptography rule is employed to encrypt the hidden data and also the encrypted knowledge inserted into a cover object by the method of the LSB Inversion rule. This mix of technology has with success reached the benchmark level of some essential properties referred to acknowledge confidentiality, integrity verification, capability and robustness that are the evidence to prove the excellent performance and effective implementation of this steganography method.…”

Section: Related Workmentioning

confidence: 99%

Multiple Image Based Dual Steganography Using Arnold Transform and Block Code Encoding

2021

IJETER

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Security plays a crucial role in the field of Social media network. Securing the data become one among the largest challenges in the present scenario. Whenever we expect concerning the cyber security, the primary issue that involves our mind is ‘cyber crimes’ that are increasing vastly day by day. Embedding secret message into the image (Steganography) is associated with art and science of secure data communication wherever the key information or confidential information is hidden in host file. It's employed incompletely different helpful applications like secure electronic communication, health care and military. Confidential information’s are unremarkably keep in digital media and transmitted via network cause of rapid growth of internet. In this paper, steganography techniques which might be used to safeguard the information from intruders. Here, Steganographic technique is used to hide multiple secret images into a single 24-bit cover image using Least Significant Bit (LSB) and dual steganography method. Multiple secret images are scrambled and encoded before hiding into cover image using Arnold Transform and Block Code Encoding. The Proposed technique is Block Code Encoding to convert Secret message to binary and bit pairs to form safer information. The main goals of proposed work offers security and high limit based steganography plan of concealing a massive size secret image into a bit size cover image, to enhance security using dual steganography, image quality and to reduce error.

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Section: Related Workmentioning

confidence: 99%

Multiple Image Based Dual Steganography Using Arnold Transform and Block Code Encoding

2021

IJETER

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“…Let the set {O, G, 2G, 3G, (n − 1) G} be a cyclic subgroup generated by G on E: (a, b). If d is selected as the private key and P � dG as the public key, the problem of finding d from P is the discrete logarithm problem (ECDLP) on elliptic curve group, which is the mathematical basis of elliptic curve encryption algorithm [14].…”

Section: Sm2 Digitalmentioning

confidence: 99%

Design and Implementation of Data Sharing Traceability System Based on Blockchain Smart Contract

Kang

2021

Scientific Programming

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“Traceability” is an important method often used in modern supply management. The traceability system is a system based on the Internet of Things technology. In this process, users will share resources through cloud service providers, so how to ensure data security is also one of the issues we consider. Blockchain technology is an emerging technology in the field of information technology. Its decentralized nature, distributed storage, and difficult data modification provide us with fair exchange and sharing of data. Feasible solutions: in this article, we have studied the key issues of fair exchange and safe sharing of data based on blockchain and designed a multigroup data sharing scheme based on alliance chain. To solve the various existing traceability systems problem, this paper designs a new traceability system based on blockchain technology and implements a system prototype to verify the feasibility of the system.

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“…Then, a coupling of the generated key stream and the three components of RGB color pixels was performed to encrypt the permuted components. In study [20], the following process took place: information to be hidden was encrypted using the Elliptic Curve Cryptography algorithm; then, the LSB Inversion algorithm was used to insert the encrypted data into a cover object. Several modes of attack were used to test the security of this method.…”

Section: Related Workmentioning

confidence: 99%

A New Fuzzy-DNA Image Encryption and Steganography Technique

2020

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Image encryption and steganography techniques are receiving a lot of interest and investigations due to their high importance in multimedia communication systems. A novel highly efficient image encryption and steganography technique are presented in this paper. For the first time, the proposed technique uses hybrid DNA encoding and Choquet's Fuzzy Integral sequences. At first, a confused version of the image, using a simple chaotic map, is encoded using DNA's bases. Four coded images are generated using the four DNA bases, namely AT, CG, GC, and TA. Parallel to that, a Choquet's fuzzy Integral sequence is generated and DNA encoded similarly to obtain four pseudo-random sequences. Secondly, the resulting four fuzzy/DNA sequences are used to diffuse the four DNA encoded images using the complementary DNA XOR rule, according to certain control code. Finally, the wavelet fusion algorithm is then used to fuse the resulting four fuzzy-DNA encoded images, to get the encrypted image. For added security, a new steganography approach is used. In particular, the encrypted image is divided into four sub-images, each of which is hidden in a different carrier image selected from a known group of carrier images according to a given key. The simulation results and security analysis confirmed the efficiency of the proposed image encryption algorithm as well as the steganography approach used for enhanced security. Ten different images with a size of 256 × 256 are used to test the proposed method. The results show that the proposed algorithm has a higher key sensitivity. The pixel correlation coefficient values are very small (between 5.3220e-04 and 0.0011 horizontally, between 8.7670e-04 and 0.0022 vertically and between 0.0002 and 0.0045 diagonally). Furthermore, the measured information entropy of the encrypted images is between 7.9970 and 7.9979 which are very close to the ideal value of 8. Additionally, the measured unified average changing intensity and number of pixels change rate values take the values between 33.46 and 33.39 and between 99.61 and 99.64, respectively, which are again closed to the ideal values. The steganography test shows that the hidden encrypted images are almost invisible at high values of SNR and are characterized by good NCC values under different types of attacks. The performance of the new proposed algorithm is proved to overcomes many other previously published image encryption techniques.

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RETRACTED ARTICLE: Dual layer security of data using LSB inversion image steganography with elliptic curve cryptography encryption algorithm

Cited by 24 publications

References 20 publications

Multiple Image Based Dual Steganography Using Arnold Transform and Block Code Encoding

Multiple Image Based Dual Steganography Using Arnold Transform and Block Code Encoding

Design and Implementation of Data Sharing Traceability System Based on Blockchain Smart Contract

A New Fuzzy-DNA Image Encryption and Steganography Technique

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