Secure image transferring using KBRP and TEA algorithms

Amrutha, A.; M, Riyadh; Prajitha, M

doi:10.1109/iciiecs.2015.7193117

Cited by 3 publications

(2 citation statements)

References 14 publications

(5 reference statements)

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“…The various thoughts used in the current image encryption techniques. A safe transfer of images is proposed [9] using key-based random flipping (KBRP) and TEA, which provides additional security for images during transfering using image scrambling as well as encrypt images with randomly generated passwords per pixel. Kanagalakshum and Mekala [10] designed a method based on the Blowfish algorithm with improved features.…”

Section: Related Workmentioning

confidence: 99%

Extended of TEA: A 256 bits block cipher algorithm for image encryption

Shimal

Helal

Hashim

2021

IJECE

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<p>This paper introduces an effective image encryption approach that merges a chaotic map and polynomial with a block cipher. According to this scheme, there are three levels of encryption. In the first level, pixel positions of the image are scuffled into blocks randomly based on a chaotic map. In the second level, the polynomials are constructed by taking N unused pixels from the permuted blocks as polynomial coefficients. Finally, the third level a proposed secret-key block cipher called extended of tiny encryption algorithm (ETEA) is used. The proposed ETEA algorithm increased the block size from 64-bit to 256-bit by using F-function in type three Feistel network design. The key schedule generation is very straightforward through admixture the entire major subjects in the identical manner for every round. The proposed ETEA algorithm is word-oriented, where wholly internal operations are executed on words of 32 bits. So, it is possible to efficiently implement the proposed algorithm on smart cards. The results of the experimental demonstration that the proposed encryption algorithm for all methods are efficient and have high security features through statistical analysis using histograms, correlation, entropy, randomness tests, and the avalanche effect.</p>

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Section: Related Workmentioning

confidence: 99%

Extended of TEA: A 256 bits block cipher algorithm for image encryption

Shimal

Helal

Hashim

2021

IJECE

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“…Because of these reasons many protocols used with normal computer networks do not give good performance in IoT networks and are not preferred. Considering these features, tiny encryption algorithm (TEA) [17][18][19] is the most widely used symmetric algorithm with a Feistel cipher for secure transmission of data through the IoT network. The popularity of TEA is mainly due to the ease of implementation and less memory utilization compared to all other encryption algorithms.…”

Section: Introductionmentioning

confidence: 99%

A Secure and Efficient Lightweight Symmetric Encryption Scheme for Transfer of Text Files between Embedded IoT Devices

Shrivastava

Paul

Menon³

et al. 2019

Symmetry

150

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Recent advancements in wireless technology have created an exponential rise in the number of connected devices leading to the internet of things (IoT) revolution. Large amounts of data are captured, processed and transmitted through the network by these embedded devices. Security of the transmitted data is a major area of concern in IoT networks. Numerous encryption algorithms have been proposed in these years to ensure security of transmitted data through the IoT network. Tiny encryption algorithm (TEA) is the most attractive among all, with its lower memory utilization and ease of implementation on both hardware and software scales. But one of the major issues of TEA and its numerous developed versions is the usage of the same key through all rounds of encryption, which yields a reduced security evident from the avalanche effect of the algorithm. Also, the encryption and decryption time for text is high, leading to lower efficiency in IoT networks with embedded devices. This paper proposes a novel tiny symmetric encryption algorithm (NTSA) which provides enhanced security for the transfer of text files through the IoT network by introducing additional key confusions dynamically for each round of encryption. Experiments are carried out to analyze the avalanche effect, encryption and decryption time of NTSA in an IoT network including embedded devices. The results show that the proposed NTSA algorithm is much more secure and efficient compared to state-of-the-art existing encryption algorithms.

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