Analytical Study of Hybrid Techniques for Image Encryption and Decryption

Chowdhary, Chiranji Lal; Patel, Pushpam Virenbhai; Kathrotia, Krupal Jaysukhbhai; Attique, Muhammad; Kumaresan, Prasanna Kumar; Ijaz, Muhammad Fazal

doi:10.3390/s20185162

Cited by 98 publications

(32 citation statements)

References 29 publications

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“…Chowdhary, C.L. et al [4] analyzed the performance of hybridization of various symmetric and asymmetric cryptography algorithms for image encryption and decryption. The hybrid process elliptic curve cryptography (ECC) with Hill cipher (H.C.), ECC with Advanced Encryption Standard (AES), and ElGamal with Double Playfair Cipher (DPC) involved the speed implementation of symmetric algorithms.…”

Section: Related Workmentioning

confidence: 99%

Enhanced BB84 quantum cryptography protocol for secure communication in wireless body sensor networks for medical applications

Devi¹,

Kalaivani²

2021

Pers Ubiquit Comput

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Wireless body sensor network (WBSN) is an interdisciplinary field that could permit continuous health monitoring with constant clinical records updates through the Internet. WBAN is a special category of wireless networks. Coronavirus disease 2019 (COVID-19) pandemic creates the situation to monitor the patient remotely following the social distance. WBSN provides the way to effectively monitor the patient remotely with social distance. The data transmitted in WBSN are vulnerable to attacks and this is necessary to take security procedure like cryptographic protocol to protect the user data from attackers. Several physiological sensors are implanted in the human body that will collect various physiological updates to monitor the patient's healthcare data remotely. The sensed information will be transmitted wirelessly to doctors all over the world. But it has too many security threats like data loss, masquerade attacks, secret key distribution problems, unauthorized access, and data confidentiality loss. When any attackers are attacking the physiological sensor data, there is a possibility of losing the patient's information. The creation, cancellation, and clinical data adjustment will produce a mass effect on the healthcare monitoring system. Present-day cryptographic calculations are highly resistant to attacks, but the only weak point is the insecure movement of keys. In this paper, we look into critical security threats: secure key distribution. While sharing the secret key between communicating parties in the wireless body sensor networks in the conventional method like via phone or email, the attackers will catch the private key. They can decrypt and modify more sensitive medical data. It can cause a significant effect like death also. So need an effective, secure key distribution scheme for transmission of human body health related data to medical professional through wireless links. Moreover, a new enhanced BB84 Quantum cryptography protocol is proposed in this paper for sharing the secret key among communicating parties in a secure manner using quantum theory. Besides, a bitwise operator is combined with quantum concepts to secure the patient's sensed information in the wireless environment. Instead of mail and phone via sharing secret key, quantum theory with the bitwise operator is used here. Therefore, it is not possible to hack the secret key of communication. The body sensor's constrained assets as far as battery life, memory, and computational limit are considered for showing the efficiency of the proposed security framework. Based on experimental results, it is proven that the proposed algorithm EBB84QCP provides high secure key distribution method without direct sharing the secret key and it used the quantum mechanism and bitwise operator for generating and distributing secret key value to communicating parties for sensitive information sharing in the wireless body sensor networks.

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Section: Related Workmentioning

confidence: 99%

Enhanced BB84 quantum cryptography protocol for secure communication in wireless body sensor networks for medical applications

Devi¹,

Kalaivani²

2021

Pers Ubiquit Comput

View full text Add to dashboard Cite

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“…As a main example, local image analysis permits to report pixel saliency as a function not only of the pixel itself, but also of its surroundings [ 32 ], thus permitting to reconstruct local geometric interactions, neither quantifiable, not even perceivable, in the native intensity images, which require proper post-processing. To this purpose, investigating pixel connectivity is a simple yet powerful tool to go beyond intensity analyses and access local image structures [ 33 ], as showed by popular applications as semantic segmentation [ 34 ] and image encoding and encrypting [ 35 ]. However, it may happen that after image pre-processing and thresholding the structural information of the “objects” of interest can be partly lost, yet more in case of structures whose size is close to system resolution.…”

Section: Introductionmentioning

confidence: 99%

Density Distribution Maps: A Novel Tool for Subcellular Distribution Analysis and Quantitative Biomedical Imaging

Santis

Zanoni

Arienti

et al. 2021

Sensors

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Subcellular spatial location is an essential descriptor of molecules biological function. Presently, super-resolution microscopy techniques enable quantification of subcellular objects distribution in fluorescence images, but they rely on instrumentation, tools and expertise not constituting a default for most of laboratories. We propose a method that allows resolving subcellular structures location by reinforcing each single pixel position with the information from surroundings. Although designed for entry-level laboratory equipment with common resolution powers, our method is independent from imaging device resolution, and thus can benefit also super-resolution microscopy. The approach permits to generate density distribution maps (DDMs) informative of both objects’ absolute location and self-relative displacement, thus practically reducing location uncertainty and increasing the accuracy of signal mapping. This work proves the capability of the DDMs to: (a) improve the informativeness of spatial distributions; (b) empower subcellular molecules distributions analysis; (c) extend their applicability beyond mere spatial object mapping. Finally, the possibility of enhancing or even disclosing latent distributions can concretely speed-up routine, large-scale and follow-up experiments, besides representing a benefit for all spatial distribution studies, independently of the image acquisition resolution. DDMaker, a Software endowed with a user-friendly Graphical User Interface (GUI), is also provided to support users in DDMs creation.

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“…Moreover, due to the enormous amount of the digital image, compression in the digital image should be also taken into account to improve the efficiency of transmission and storage [8,9]. ere are two views on how to design the encryption image scheme; the first one is to consider the traditional encryption method for the digital image encryption [10], such as Data Encryption Standard (DES) and Advanced Encryption Standard (AES). ose traditional schemes can guarantee the digital image safety.…”

Section: Introductionmentioning

confidence: 99%

A Novel Compressive Image Encryption with an Improved 2D Coupled Map Lattice Model

Liu

Wang

Zhang

et al. 2021

Security and Communication Networks

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The digital image, as the critical component of information transmission and storage, has been widely used in the fields of big data, cloud and frog computing, Internet of things, and so on. Due to large amounts of private information in the digital image, the image protection is fairly essential, and the designing of the encryption image scheme has become a hot issue in recent years. In this paper, to resolve the shortcoming that the probability density distribution (PDD) of the chaotic sequences generated in the original two-dimensional coupled map lattice (2D CML) model is uneven, we firstly proposed an improved 2D CML model according to adding the offsets for each node after every iteration of the original model, which possesses much better chaotic performance than the original one, and also its chaotic sequences become uniform. Based on the improved 2D CML model, we designed a compressive image encryption scheme. Under the condition of different keys, the uniform chaotic sequences generated by the improved 2D CML model are utilized for compressing, confusing, and diffusing, respectively. Meanwhile, the message authentication code (MAC) is employed for guaranteeing that the encryption image be integration. Finally, theoretical analysis and simulation tests both demonstrate that the proposed image encryption scheme owns outstanding statistical, well encryption performance, and high security. It has great potential for ensuring the digital image security in application.

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Analytical Study of Hybrid Techniques for Image Encryption and Decryption

Cited by 98 publications

References 29 publications

Enhanced BB84 quantum cryptography protocol for secure communication in wireless body sensor networks for medical applications

Enhanced BB84 quantum cryptography protocol for secure communication in wireless body sensor networks for medical applications

Density Distribution Maps: A Novel Tool for Subcellular Distribution Analysis and Quantitative Biomedical Imaging

A Novel Compressive Image Encryption with an Improved 2D Coupled Map Lattice Model

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