An Efficient Image Encryption Scheme Based on Signcryption Technique with Adaptive Elephant Herding Optimization

Shankar, K.; Elhoseny, Mohamed; Perumal, Eswaran; Ilayaraja, M.; Kumar, K. Sathesh

doi:10.1007/978-3-030-16837-7_3

Cited by 23 publications

(17 citation statements)

References 19 publications

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“…Indeed, the structure it should have been made sure for the safe transmission and compelling stockpiling of clinical pictures interleaved with quiet data. An alternate disorganized framework in the phases of perplexity and dissemination has been dissected by choosing a complex disordered guide to additionally upgrade the intricacy of the calculation, thus improving the security [9], [13]- [15], and [19]- [23]. The representations of IoMT framework (a) and the Image security paradigm of IoM (b) are shown in Fig 1 . The picture encryption calculation named Shuffle Encryption Algorithm (SEA) had exhibited a nonlinear byte-substitution arrange by utilizing an s-box with the assistance of a mixed activity [19].…”

Section: Related Workmentioning

confidence: 99%

“…The accessibility of IoMT applications allows to make a diagnosis, make copies, data and retrieve a large number of digital images around the world. It often results in the production of illegitimate copies or unauthorized use in concern [9], [10], [11], [12], [13]. Therefore, to protect images, many researchers have focused on developing techniques for image security in the IoMT applications [6], [9].…”

Section: Introductionmentioning

confidence: 99%

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Lightweight Encryption Technique to Enhance Medical Image Security on Internet of Medical Things Applications

et al. 2021

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The importance of image security in the field of medical imaging is challenging. Several research works have been conducted to secure medical healthcare images. Encryption, not risking loss of data, is the right solution for image confidentiality. Due to data size limitations, redundancy, and capacity, traditional encryption techniques cannot be applied directly to e-health data, especially when patient data are transferred over the open channels. Therefore, patients may lose the privacy of data contents since images are different from the text because of their two particular factors of loss of data and confidentiality.Researchers have identified such security threats and have proposed several image encryption techniques to mitigate the security problem. However, the study has found that the existing proposed techniques still face application-specific several security problems. Therefore, this paper presents an efficient, lightweight encryption algorithm to develop a secure image encryption technique for the healthcare industry. The proposed lightweight encryption technique employs two permutation techniques to secure medical images. The proposed technique is analyzed, evaluated, and then compared to conventionally encrypted ones in security and execution time. Numerous test images have been used to determine the performance of the proposed algorithm. Several experiments show that the proposed algorithm for image cryptosystems provides better efficiency than conventional techniques.INDEX TERMS Internet of Medical Things, medical image encryption, lightweight encryption.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Lightweight Encryption Technique to Enhance Medical Image Security on Internet of Medical Things Applications

et al. 2021

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“…Visual inspection is a major indicator in evaluating the quality of encrypted images. If the image features are hidden well, this means that the utilized image cryptosystem is good in performance [15], [16], [20], [23], [25]. Moreover, it is known that visual examination does not detect the full relation between the original and the encrypted images.…”

Section: A Visual Inspectionmentioning

confidence: 99%

“…Consequently, securing images transmitted via digital communication systems to keep them away from modification, partial or total removal of their contents, and addition of fake information has become a vital research problem for scholars. Hence, various image ciphering techniques have been proposed to secure transmitted digital images [1]- [15].…”

Section: Introductionmentioning

confidence: 99%

Efficiently Encrypting Color Images With Few Details Based on RC6 and Different Operation Modes for Cybersecurity Applications

et al. 2020

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Recently, massive research works have been accomplished for augmenting privacy and security requirements for cybersecurity applications in wireless communication networks. This is attributed to the fact that conventional security processes are not appropriate for robust, efficient, and reliable multimedia streaming over unsecure media. Therefore, this paper presents an efficient color image cryptosystem based on RC6 with different modes of operation. The proposed cryptosystem is composed of two phases: encryption and decryption. The encryption phase starts by decomposing the color plainimage with few details into its RGB components, which in turn, are segmented into 128-bit blocks. These blocks are then enciphered using RC6 with an appropriate mode of operation. After that, the corresponding enciphered blocks of RGB components are multiplexed for constructing the final cipherimage. This scenario is reversed in the decryption phase. The performance of the proposed cryptosystem is gauged via simulation using a set of encryption quality metrics. The simulation results reveal that the proposed cryptosystem with cipher block chaining (CBC), cipher feedback (CFB), and output feedback (OFB) modes can efficiently and effectively hide all information of the color images with few details even in the presence of some input blocks with similar data. On the other hand, the results show that the electronic codebook (ECB) mode is not effective at all in hiding all details of images. Finally, the obtained results ensure the applicability of the proposed cryptosystem and its efficiency in encrypting images in terms of security, encryption quality, and noise immunity.

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“…B ECAUSE of the advanced development of the communication networks and the high quantity of valuable information that can be contained in an image, the image ciphering for protecting confidential data is a field with a highly dynamic development [1]- [6].…”

Section: Introductionmentioning

confidence: 99%

Cryptosystem Based on the Elliptic Curve With a High Degree of Resistance to Damage on the Encrypted Images

et al. 2020

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An Efficient Image Encryption Scheme Based on Signcryption Technique with Adaptive Elephant Herding Optimization

Cited by 23 publications

References 19 publications

Lightweight Encryption Technique to Enhance Medical Image Security on Internet of Medical Things Applications

Lightweight Encryption Technique to Enhance Medical Image Security on Internet of Medical Things Applications

Efficiently Encrypting Color Images With Few Details Based on RC6 and Different Operation Modes for Cybersecurity Applications

Cryptosystem Based on the Elliptic Curve With a High Degree of Resistance to Damage on the Encrypted Images

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