Secure Data Transfer Through Internet Using Cryptography and Image Steganography

Nunna, Krishna Chaitanya; Marapareddy, Ramakalavathi

doi:10.1109/southeastcon44009.2020.9368301

Cited by 15 publications

(5 citation statements)

References 13 publications

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“…Step 1: Initially, the extracted share values ERSV1, ERSV2, and ERSV3 are combined to reveal the intermediate image dRSSI. dRSSI is as shown in equation (12).…”

Section: Image Extraction From Sharesmentioning

confidence: 99%

A study on secured encryption of medical images using significant visual cryptography

H M,

Rao,

Khan

et al. 2024

Eng. Res. Express

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The medical images of people are important and sensitive and cannot be shared with the public considering privacy measures. Maintaining the confidentiality of the medical image is essential, and leakage of such information can cause great loss. Therefore, the information has to be secured while being transferred through a third party, which can be any network medium. Thus, there is a need for developing a robust encryption algorithm. These algorithms improve the security of the ongoing pictures by compromising the nature of the picture and utilizing complex calculations. Algorithms that work on the nature of the picture by utilizing complex cycles, for example, error diffusion, halftoning, wavelet transform, and dithering, lead to time complexity. Thus, a compact and efficient cryptographic algorithm is proposed with fewer mathematical computations that ensure the secured transmission and reception of medical images through the medium using Significant Visual Cryptography (SVC). In SVC, initially, the quality of the secret images (SI) is improved by using the Error Abatement Technique (EAT). The output of EAT is used to generate random share values, which are then implanted in cover pictures. The shares that are transmitted do not reveal the secret information present in the original image because of the steganography features involved in this technique. The integrated check value (ICV) is calculated over the region of interest (ROI) at the encryption and decryption sides to provide additional security. Quality and security analyses have been carried out to ensure the robustness of the algorithm. The detailed study proved that the proposed algorithm beat the constraints of the current calculations. The concept of checking the integrity value and steganography features enhanced the effectiveness of the algorithm.

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“…Step 1: Initially, the extracted share values ERSV1, ERSV2, and ERSV3 are combined to reveal the intermediate image dRSSI. dRSSI is as shown in equation (12).…”

Section: Image Extraction From Sharesmentioning

confidence: 99%

A study on secured encryption of medical images using significant visual cryptography

H M,

Rao,

Khan

et al. 2024

Eng. Res. Express

View full text Add to dashboard Cite

show abstract

“…The algorithms and techniques that were used have not contained novelty, and they are knowledge gained by hackers in their work. Nunna and Marapareddy [4] developed a web-based application to enable authorized users of the application to communicate and transmit data after embedding in cover images. They achieved two levels of security by using the crypto-steganography technique.…”

Section: Related Workmentioning

confidence: 99%

“…As a result, information hiding emerges at a crucial juncture to address the issue of information security more effectively. Information hiding is now widely investigated and used in a few fields, including secure communications, the defense of intellectual property rights, and content verification [3,4].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Security Through Integrated Morse Code Encryption and LSB Steganography in Digital Communications

Olewi,

Msallam,

Salim

et al. 2024

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In the digital era, the protection of sensitive data transmitted over the Internet, such as credit card information, is paramount. This study introduces an innovative system that enhances data security during internet transmission by synergizing steganography and cryptography. The proposed method employs a two-stage process: encryption followed by concealment. Initially, secret text data is encrypted using an evolved form of Morse code, converting it into ciphertext. Subsequently, this ciphertext is discreetly embedded within a cover image utilizing the least significant bit (LSB) technique, a method renowned for its subtlety and efficiency in data hiding. The effectiveness of this novel system was evaluated by comparing its performance with existing benchmarks. The chosen test case involved embedding encrypted data within a Baboon image. The results demonstrated a notable improvement of 2.596% over the baseline, affirming the system's efficacy. A critical aspect of this approach is the high quality of the resultant stego image. This quality is instrumental in ensuring the covert nature of the embedded data, thereby significantly reducing the likelihood of detection during internet transmission. Key elements of this study include the development of a more sophisticated Morse code encryption algorithm and the optimization of the LSB steganography technique. These advancements contribute to the system's robustness, rendering the encrypted and hidden data virtually undetectable and inaccessible to unauthorized entities. The integration of these two techniques represents a significant stride in the realm of digital data security, offering a dual-layered defense mechanism against potential cyber threats.

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“…Kumar et al [28] presented a new symmetric cryptography method depending on Caesar cipher, where the sender sends the hash code instead of the symmetric key. Nunna and Marapareddy [29] proposed a new system that used both cryptography and steganography techniques by using XOR operation to encrypt text and insert it into the image based on chosen key. A new application was proposed by Pizzolante et al [30] that used to compress and encrypt a message or file, then sends it by using the standard SMS.…”

Section: Related Workmentioning

confidence: 99%

Encryption of Color Image Based on DNA Strand and Exponential Factor

2022

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— In this study, a new method has been eliciting for encoding 2D and 3D color images. The DNA strand construction was used as the basis for structuring the method. This method consisted of two main stages, the encryption and decryption stages. As each stage includes several operations to reach the desired goal. In the coding stage, a special table was prepared to show the mechanism of work. It starts with encoding the DNA bases into two binary orders, then two zeros are added to the string to finally consist of four binary bits whose size is parallel to the representation of a set of hexadecimal numbers represented in binary, where the XOR operation is then done between the two values to be the result is completely different from the original code. Then the binary values we obtained are converted to decimal values that are placed in an array with the same size as the image to be encoded. Finally, this last array was processed with the exponential function factor, so the final result is a 100% encoded image. In the decoding stage, another algorithm was built that reflects the work of what preceded it in the encryption stage, where the result was an exact copy of the original image. It is worth noting that standard images of different sizes were used as testing images. The performance evaluation of the method was calculated based on several factors: MSE, peak PSNR, and the time required to perform the encoding and decoding process. The method achieved good results when compared with the results of other methods in terms of quality and time.

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Secure Data Transfer Through Internet Using Cryptography and Image Steganography

Cited by 15 publications

References 13 publications

A study on secured encryption of medical images using significant visual cryptography

A study on secured encryption of medical images using significant visual cryptography

Enhanced Security Through Integrated Morse Code Encryption and LSB Steganography in Digital Communications

Encryption of Color Image Based on DNA Strand and Exponential Factor

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