On developing dynamic and efficient cryptosystem for safeguarding healthcare data in public clouds

Selvam, L.; Renjit, J. Arokia

doi:10.1007/s12652-020-02033-8

Cited by 8 publications

(5 citation statements)

References 17 publications

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“…For analyzing the security of this scheme, the different types of attacks have been considered for assessment, which includes side channel, authentication, brute-force, man-in-the-middle, and cloud malware. 27 Yet, this framework required to minimize the time consumption of key generation, encryption, and decryption operations.…”

Section: Related Workmentioning

confidence: 99%

“…The different modules involved in this work were registration phase, encryption, hash key generation, data storage, user authentication, auditing, data retrieval, and decryption. For analyzing the security of this scheme, the different types of attacks have been considered for assessment, which includes side channel, authentication, brute‐force, man‐in‐the‐middle, and cloud malware 27 . Yet, this framework required to minimize the time consumption of key generation, encryption, and decryption operations.…”

Section: Related Workmentioning

confidence: 99%

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An efficient and secure data sharing scheme for cloud data using hash based quadraplet wavelet permuted cryptography approach

Selvam

Manimozhi

Ramachandran

2022

Concurrency and Computation

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Ensuring the reliable and secure data transmission in cloud systems is very essential and demanding task in the recent decades. For that purpose, various security frameworks have been deployed in the existing works, which are mainly focusing the improving the privacy and confidentiality of cloud data against the unauthenticated users. Yet, it facing the major problems of inefficient accessing, increased time consumption, computational complexity, storage complexity, and memory utilization rate.Hence, this research work intends to develop an advanced and efficient cryptography model, named as, hash based quadraplet wavelet permuted cryptography (HQWPC) for the secured cloud data storage and retrieval operations. Here, the bilinear mapping and group hash function generation processes are performed to generate the keys used for cryptographic operations. Also, the zig-zag scanning, wavelet coefficients extraction, and permutation processes are accomplished for data encryption. Consequently, the inverse of these operations is performed while decrypting the data. In addition to that, an integrated signature control policy authentication mechanism is employed for validating the authenticity of the cloud data users. This kind of signature verification process could efficiently increase the security level of cloud data. For validating the performance of the proposed security framework, various evaluation metrics have been utilized during analysis. Then, the obtained results are compared with the recent state-of-the-art models for proving the efficiency of the proposed technique over the other techniques.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An efficient and secure data sharing scheme for cloud data using hash based quadraplet wavelet permuted cryptography approach

Selvam

Manimozhi

Ramachandran

2022

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…These issues are an obstacle that has moved back cloud determination and should be tended to in order to enable the trustworthiness of cloud structures. Fortunately, immense quantities of the best cloud providers in the market, for instance, Microsoft, Google, and Amazon have obligations to develop the best methodologies and practices to ensure about a customer’s data and assurance [ 111 , 112 ].…”

Section: Research Challengesmentioning

confidence: 99%

A Systematic Review on Cloud Storage Mechanisms Concerning e-Healthcare Systems

Tahir

Chen

Khan

et al. 2020

Sensors

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As the expenses of medical care administrations rise and medical services experts are becoming rare, it is up to medical services organizations and institutes to consider the implementation of medical Health Information Technology (HIT) innovation frameworks. HIT permits health associations to smooth out their considerable cycles and offer types of assistance in a more productive and financially savvy way. With the rise of Cloud Storage Computing (CSC), an enormous number of associations and undertakings have moved their healthcare data sources to distributed storage. As the information can be mentioned whenever universally, the accessibility of information becomes an urgent need. Nonetheless, outages in cloud storage essentially influence the accessibility level. Like the other basic variables of cloud storage (e.g., reliability quality, performance, security, and protection), availability also directly impacts the data in cloud storage for e-Healthcare systems. In this paper, we systematically review cloud storage mechanisms concerning the healthcare environment. Additionally, in this paper, the state-of-the-art cloud storage mechanisms are critically reviewed for e-Healthcare systems based on their characteristics. In short, this paper summarizes existing literature based on cloud storage and its impact on healthcare, and it likewise helps researchers, medical specialists, and organizations with a solid foundation for future studies in the healthcare environment.

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“…However, it exhibits a longer computational time while addressing the security issue. In [4], two robust and effective cryptosystems were created to ensure the safe storage and retrieval of medical data. These In [5], a novel cryptographic technique was presented to ensure data security analysis with reduced computing time.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Gradient Deep Multilayer Neural Network based Linear Congruential Generative Cryptosystem for Secured Data Communication in Cloud

Krishnaveni R

2023

IJRITCC

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Cloud computing is a kind of distributed computing that use a vast network of interconnected resources accessible over the internet. Security is a crucial concern in cloud computing due to the fact that users save their data on the cloud for convenient access from any location and at any time. Consequently, many users are worried about safeguarding their sensitive data in an unsafe location. Therefore, cloud computing architecture requires an innovative cryptographic method that ensures the secrecy, authenticity, integrity, and non-repudiation of data transfer in the cloud. A new technique called SEMcrypt, which stands for Stochastic Gradient DEep Multilayer Neural Network based Linear Congruential Generative Cryptography, has been developed to enhance secure data transmission. SEMcrypt ensures higher data confidentiality and reduces the time required for communication between the cloud user (i.e., patient) and the server. The SEMcrypt approach has two distinct processes: categorization and secure data transport. Initially, the data is gathered from the patients and is used as input for the stochastic gradient regularised deep multilayer neural network. The deep neural network consists of one input layer, two hidden layers, and one output layer. At first, the information is gathered from the patients and sent to the input layer. Next, the patient data that has been gathered is examined in hidden layer 1 using the generalised Tikhonov regularisation function. The patient data that has been analysed is sent to hidden layer 2. The hyperbolic tangent activation function is used at that layer to classify the patient data. Subsequently, the categorised data undergoes encryption via the use of Linear Congruential Generative Goldwasser-Micali encryption, ensuring safe transfer of the data. Subsequently, the encrypted data is sent to the cloud server. The patient data is encrypted on the server side using the Linear Congruential Generative Goldwasser-Micali decryption technique to prevent unauthorised access or assaults. Consequently, the authorised recipient receives the unaltered information, which is then kept in the database for further analysis. Secured data transmission is achieved by ensuring better levels of data confidentiality and reducing the time required for the process. The experimental assessment focuses on criteria such as the time it takes to generate keys, the level of data confidentiality and integrity, the computing time, and the accuracy of categorization. The empirical findings demonstrate that our suggested SEMcrypt approach delivers efficient performance outcomes by attaining superior levels of data confidentiality and integrity within a minimal timeframe.

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On developing dynamic and efficient cryptosystem for safeguarding healthcare data in public clouds

Cited by 8 publications

References 17 publications

An efficient and secure data sharing scheme for cloud data using hash based quadraplet wavelet permuted cryptography approach

An efficient and secure data sharing scheme for cloud data using hash based quadraplet wavelet permuted cryptography approach

A Systematic Review on Cloud Storage Mechanisms Concerning e-Healthcare Systems

Stochastic Gradient Deep Multilayer Neural Network based Linear Congruential Generative Cryptosystem for Secured Data Communication in Cloud

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