A modified cryptographic approach for securing distributed data storage in cloud computing

Reddy, M. Rajasekhar; Akilandeswari, R; Priyadarshini, Selvaraj Sujitha; Karthikeyan, B.; Ponmani, E.

doi:10.1109/netact.2017.8076755

Cited by 10 publications

(2 citation statements)

References 7 publications

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“…Input A is divided into two data packets, P and S, respectively, and they are encrypted. 28 First, it is used to create a random parameter P and utilized to generate new data packets through the A. The random key is placed by the user to enable the XOR operation of both P and S. The parameter of the key is placed on the user side, and it is stored in the special register.…”

Section: Encryptionmentioning

confidence: 99%

Ontology‐based data access control model supported with grid computing for improving security in healthcare data

Kiran

Nalini²

2022

Trans Emerging Tel Tech

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Ontology is broadly applied in various fields for creating trust‐based data access control models. In the case of the medical field, utilizing ontology is highly recommended for securing the medical report and patient information. Here, ontology is integrated with the grid computing system for achieving better authentication and security in the healthcare system. Various ontology based data access control models are designed by different authors for achieving enhanced user authorization and security. Security is still found to be a major issue in the existing techniques. To overcome this issue, the proposed work developed a medical ontology with three tier secure access control. The proposed method is processed in three layers. In the first layer, job scheduling for user is achieved. Job scheduling is carried out by scheduler using a deadline priority based scheduling algorithm. Users are scheduled with a different job based on their priority level such as low, medium, and high. In the second layer, role based policy is developed for finding and eliminating the accessing of unauthorized users. The third layer is used for securing medical database. Medical database is secured from various through encrypting the data using XOR cryptography algorithm. The proposed architecture is validated using some of the metrics such as turnaround time, tardiness, actual time delay, and throughput. The turnaround time, tardiness, and actual‐time delay attains for the proposed architecture are 64.60, 4.90, and 1.52 seconds, respectively. Then, the throughput value reaches for 25 bits length of encryption is 0.88 Mbps. The simulation analysis reveals that the proposed architecture reduces the waiting time of users and improves medical data security.

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Section: Encryptionmentioning

confidence: 99%

Ontology‐based data access control model supported with grid computing for improving security in healthcare data

Kiran

Nalini²

2022

Trans Emerging Tel Tech

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“…In [7] it is shown that SA-EDS have less encryption time as compared to AES on different data sets. It is proved in [33] that by brute force the keys can be extracted. In [34] it is proved that XOR is vulnerable to Pollution Attack.…”

Section: Literature Reviewmentioning

confidence: 99%

PSDS–Proficient Security Over Distributed Storage: A Method for Data Transmission in Cloud

et al. 2020

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Cloud Computing facilitates business by storing an enormous amount of data in the cloud transmitted over the Internet with seamless access to the data and no hardware compatibility limitations. However, data during transmission is vulnerable to man in middle, known plain text, chosen cipher text, related key and pollution attack.Therefore,uploading data on a single cloud may increase the risk of damage to the confidential data. Existing literature study uncovered multiple cryptography techniques such as SA-EDS, Reliable Framework for Data Administration (RFDA), Encryption and Splitting Technique (EST) to secure data storage over multi-cloud.However, existing methods are vulnerable to numerous attacks. This article emphasis on data security issues over multi cloud and proposes a Proficient Security over Distributed Storage (PSDS) method.PSDS divides the data is into two categories; normal and sensitive, further more the sensitive data is further divided into two parts. Each part is encrypted and distributed over multi-cloud whereas the normal data is uploaded on a single cloud in encrypted form. At the decryption stage, sensitive data is merged from multi-cloud. The PSDS is tested against multiple attacks and it has been concluded that it is resistant to related key attack, pollution attack, chosen ciphertext attack, and known plain text attack. Furthermore, PSDS has less computational time as compared to the STTN and RFD encryption method. INDEX TERMS Cloud Computing, data transmission, security, cryptographic solution I. INTRODUCTION C LOUD computing environment offers enormous benefits over the local computing environment including financial cost, administrative and management overhead, adaptability, seamless office access, less memory utilization, and so on. Cloud computing provides a platform to users to utilize various assets provided on their request. Cloud computing provides adaptability by giving backup facility like Dropbox, Amazon, and Google Drive. Cloud computing also facilitates clients to cut down their expenses by providing environment for testing applications without building up a physical domain. It also provides administrative facilities, for example, Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) [1], [2]. SaaS offers service to clients, for example, the virtual work area, webmail, and program interface. PaaS provides a stage for using programming language, administrations, libraries, and various apparatuses. IaaS offers online administrations to clients, for example, servers, load balancers, and other computing assets. Due to these reasons today businesses, organization and individual users are moving their data to the cloud.Various models of cloud such as private, public, hybrid and community cloud are defined [3] to provide various services such as infrastructure, software, and others. The security of information with overwhelming size in the cloud is a noteworthy issue. Various strategies have been proposed not only to verify information b...

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Model of Secure Data Storage in the Cloud for Mobile Devices

Kłos

Fray

2018

Computer Information Systems and Industrial Management

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A modified cryptographic approach for securing distributed data storage in cloud computing

Cited by 10 publications

References 7 publications

Ontology‐based data access control model supported with grid computing for improving security in healthcare data

Ontology‐based data access control model supported with grid computing for improving security in healthcare data

PSDS–Proficient Security Over Distributed Storage: A Method for Data Transmission in Cloud

Model of Secure Data Storage in the Cloud for Mobile Devices

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