Image Encryption Based on AES Key Expansion

Subramanyan, B.; Chhabria, Vivek M.; Babu, T.G.

doi:10.1109/eait.2011.60

Cited by 40 publications

(21 citation statements)

References 6 publications

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“…Laiphrakpam Dolendro Singh et al [12] proposed an image encryption using Elliptic Curve Cryptography based on pixel grouping to reduce the number of computation. The group of pixels are transformed into big integer, these big integer values are paired and given as input in ECC operation.…”

Section: Related Workmentioning

confidence: 99%

“…In our proposed method, nine input images with an image size of m*m pixels are taken for integration with block size of 4*4 is applied to test the performance. The JPEG Compression, Interleaving with Pixel based Integration and the Elliptic Curve Cryptography [12] algorithm is used on the number of images to generate encrypted image, decryption process is done by selection of the key. The entropy and correlation of the encrypted images are calculated and evaluated.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Pixel Merging for Multi Image Integration for Security Enhancement

Kumar¹,

Anandhi²,

Muthu³

2017

IJCA

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This paper focus on image security based on compressing the image with encryption and pixel integration. This process involves applying Joint Photographic Experts Group compression for RGB layers, encrypting the images with Elliptic Curve Encryption Algorithm and block based interleaving followed by pixel based integration technique. With the key specifically generated for the image, the original image is decrypted from multiple images. This method is useful when access permissions needs to be restricted to certain viewers. The proposed method provides a high-level security in the fields of aerospace, national security, military, financial and economic, and so on. Performance is evaluated by calculating the correlation coefficient and entropy values.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Pixel Merging for Multi Image Integration for Security Enhancement

Kumar¹,

Anandhi²,

Muthu³

2017

IJCA

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show abstract

“…Recently, many algorithms have been created (RC4 (Rivest Cypher 4), RC5 (Rivest Cypher 5), RSA (Rivest Shami Adleman) …), but very few are viable with RTA. [7]. In addition, it is difficult to use encryption techniques directly in multimedia data because of the large volumes, and require real-time interactions.…”

Section: Related Workmentioning

confidence: 99%

High Lightweight Encryption Standard (HLES) as an Improvement of 512-Bit AES for Secure Multimedia

Eddine¹,

Ouarda²,

Brahim³

2016

ijacsa

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Abstract-In today's scenario, people share information to another people frequently using network. Due to this, more amount of information are so much private but some are less private. Therefore, the attackers or the hackers take the advantage and start attempting to steal the information since 2001. the symmetric encryption algorithm called 512-bit AES provides high level of security, but it's almost be impossible to be used in multimedia transmissions and mobile systems because of the need for more design area that effect in the use of large memory space in each round and the big encryption time that it takes. This paper presents an improvement of 512-bit AES algorithm with efficient utilization of resources such as processor and memory space. The proposed approach resists the linear and differential encrypt analysis and provides high security level using a 512-bit size of key block and data block and ameliorates the performance by minimizing the use of memory space and time encryption to be able to work in specific characteristics of resource-limited systems. The experimental results on several data (text, image, sound, video) show that the used memory space is reduced to quarter, and the encryption time is reduced almost to the half. Therefore, the adopted method is very effective for encryption of multimedia data.

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“…In [18], author presents an algorithm based on AES Key Expansion in which the encryption process is a bit wise exclusive OR operation of a set of image pixels along with the 128 bit key which changes for every set of pixels . In this paper the keys to be used are generated independently at the sender and receiver side based on AES Key Expansion process.…”

Section: Rc6mentioning

confidence: 99%

A Novel Approach for Image Encryption by New M Box Encryption Algorithm using Block based Transformation along with Shuffle Operation

Pandey¹,

Manoria²,

Jain³

2012

IJCA

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In the present brutal competitive world, security is prime factor to transmit confidential data over the internet. Cryptographic algorithms play very important role in providing the data security against the various attacks. The specific characteristics of image, like high transmission rate with limited bandwidth, correlation among pixels, redundancy and requirement of high storage capacity makes traditional algorithms unsuitable for image encryption. To cross these boundaries for real time applications, design of new algorithms that require less computational power while preserving a sufficient level of security is always a big challenge for researchers. This paper proposes an algorithm based on block based image transformation using perfect shuffle operation followed by new encryption algorithm. In this paper we compare the generated results with available algorithms like AES, RC6 and BFS on the basis of two parameters entropy and correlation.

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Image Encryption Based on AES Key Expansion

Cited by 40 publications

References 6 publications

Analysis of Pixel Merging for Multi Image Integration for Security Enhancement

Analysis of Pixel Merging for Multi Image Integration for Security Enhancement

High Lightweight Encryption Standard (HLES) as an Improvement of 512-Bit AES for Secure Multimedia

A Novel Approach for Image Encryption by New M Box Encryption Algorithm using Block based Transformation along with Shuffle Operation

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