Image Encryption using Elliptic Curve Cryptography

Singh, Laiphrakpam Dolendro; Singh, Khumanthem Manglem

doi:10.1016/j.procs.2015.06.054

Cited by 87 publications

(38 citation statements)

References 5 publications

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“…As noted here, the signature verification requires only one EC point multiplication which makes the process faster than other schemes as in [20].…”

Section: Image Digital Signaturementioning

confidence: 99%

“…In the proposed scheme, N = 4096 pairs of adjacent pixels are randomly chosen in the horizontal, vertical, and diagonal directions of both the plain image and its corresponding cipher image. A comparison of the computed correlation coefficients of RGB tested images with that of the other recent schemes as [15] and [20] is shown in Table 4, while Table 5 shows a comparison of the computed correlation coefficients of gray scale tested images with the other recent schemes as [21] and [14], [36]- [39]. From Table 4 and Table 5, it is obvious that the plain images correlation coefficients are close to 1, while that for the cipher images are close to 0 and.…”

Section: B Correlation Coefficientmentioning

confidence: 99%

“…In [19], an improved ElGamal encryption which encrypts a group of pixels at the same time is applied to medical image which makes it more efficient. In [20], a color image encryption and digital signature scheme using EC-ElGamal algorithm is proposed. This scheme depends on pixel grouping to achieve faster encryption but unfortunately it still consumes many EC point multiplications.…”

Section: Introductionmentioning

confidence: 99%

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Secure Image Transmission Using Chaotic-Enhanced Elliptic Curve Cryptography

Abdelfatah

2020

IEEE Access

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In this paper, a novel scheme for secure and real time image transmission is introduced. The scheme uses a block-based elliptic curve (BBEC) public key encryption as a first stage of encryption so it solves the key distribution and management problem of symmetric key encryption in an efficient method. Then the security of first stage BBEC encryption is enhanced through a second stage of encryption which XOR the BBEC first stage output with a pseudo random sequence generated by a new designed multi chaotic pseudo random generator STH. It merges Sine, Ten and Henon maps (STH) and so it has five secret control parameters which increase the key space and hence the scheme security against brute force attacks. Both the key of the first stage BBEC image encryption and the control parameters of the second stage STH depend on two parts: EC Diffie-Hellman shared secret key and the input plain image itself which provides a good randomness and achieves a strong resistance against chosen plaintext attacks. After the two stages of encryption, the encrypted image is digitally signed in an efficient method to achieve integrity, authentication and non-repudiation. The results prove that the proposed scheme is more secure and faster than some other recent EC based schemes. It has low correlation, huge key space; key-dependent pixel value replacement and can resist statistical, differential and noise attacks.

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“…As noted here, the signature verification requires only one EC point multiplication which makes the process faster than other schemes as in [20].…”

Section: Image Digital Signaturementioning

confidence: 99%

Section: B Correlation Coefficientmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Secure Image Transmission Using Chaotic-Enhanced Elliptic Curve Cryptography

Abdelfatah

2020

IEEE Access

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“…Research [12] proposed a security method in images by applying elliptic curve cryptography to encrypt, decrypt, and digital signatures. The purpose of this research is to obtain a security method that can provide authenticity and integrity of images received.…”

Section: Related Workmentioning

confidence: 99%

Medical Image Encryption Using Modified Identity Based Encryption

Purnamasari

Sudarsono

Kristalina

2019

emitter

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The development of technology and communication also affects the level of security needed for digital image transmission. It is known that digital images now have important meanings in both communication and video conference. In this paper, we propose a security method for medical encryption in the form of images. The proposed method is implemented in the modified Identity-Based Encryption scheme. The encryption algorithm used is Elliptic Curve Cryptography (ECC) to generate key pairs and the Advanced Encryption Standard (AES) to generate symmetric keys and encrypt process. This method has been tested based on computation time, histogram analysis and statistical analysis. The results of the test were obtained that the proposed method was resistant to multiple attacks despite having slower computing time. The proposed compute time error percentage is 1.69% for key generator stages and 0.07% for total compute time at the encrypt-decrypt stage.

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“…Numerical simulations and security examinations completed, and the outcomes show the adequacy and security execution of the proposed framework. A large number of pictures are exchanged each day over the system by Laiphrakpam Dolendro Singh [17]. Some of these images are secret and they exchange the pictures safely.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal key based homomorphic encryption for color image security aid of ant lion optimization algorithm

Shankar¹,

S.K²

2018

IJET

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The security of digital images is a basic and difficult task on the shared communication channel. Different strategies are utilized to secure the digital image, for example, encryption, steganography and watermarking. These are the techniques for the security of digital image to accomplish security objectives, i.e. secrecy, trustworthiness, and accessibility. In the proposed study, Homomorphic Encryption (HE) with optimal key selection for image security is utilized. Here the histogram equalization is introduced for altering image intensities to improve contrast. The histogram of an image generally speaks to the comparative frequency of occurrence of the different gray levels in the image. To increase the security level inspired Ant Lion Optimization (ALO) is considered, where the fitness function as max entropy the best-encrypted image is characterized as the image with most astounding entropy among adjacent pixels. Analyzing the outcomes from the performed experimental outcomes can accomplish abnormal state and great strength of proposed model compared with other encryption strategies.

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Image Encryption using Elliptic Curve Cryptography

Cited by 87 publications

References 5 publications

Secure Image Transmission Using Chaotic-Enhanced Elliptic Curve Cryptography

Secure Image Transmission Using Chaotic-Enhanced Elliptic Curve Cryptography

Medical Image Encryption Using Modified Identity Based Encryption

Optimal key based homomorphic encryption for color image security aid of ant lion optimization algorithm

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