An Elliptic Curve Based Schnorr Cloud Security Model in Distributed Environment

Muthurajan, Vinothkumar; Narayanasamy, Balaji

doi:10.1155/2016/4913015

Cited by 10 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to facilitate communication or access to resources in the cloud, the key must be generated once and used for encryption or decryption as frequently as feasible. Figure 1.1 displays the suggested architecture for protecting data belonging to a single owner [11].…”

Section: Securing Single Owner Cloud Data Using Schmidt -Samoa Crypto...mentioning

confidence: 99%

Enhancing Data Security in Cloud Computing: A Comparative Analysis of Encryption Techniques

Al-Mukhtar

2023

IJRITCC

View full text Add to dashboard Cite

This research presents a novel and efficient public key cryptosystem known as the Enhanced Schmidt Samoa (ESS) cryptosystem, proposed to safeguard the data of a single owner in cloud computing environments. Data storage is a one-time process in the cloud, while data retrieval is a frequent operation. Experimental results demonstrate that the ESS cryptosystem offers robust data confidentiality in the cloud, surpassing the security provided by traditional cryptosystems. The research also introduces a secure cloud framework designed to accommodate both individuals and organizations accessing applications and data in the cloud. While individual users may generate and share data, organizations often involve multiple users in data sharing to support their business processes. In these scenarios, multi-user data ownership and access management become critical, requiring secure sharing of cryptographic keys among the authorized users. To address these issues and ensure data confidentiality in multi-user cloud environments, the Improved Secure Cloud Data Storage Framework (ISCDSF) is introduced. This research not only enhances data security but also provides a comprehensive framework for secure data sharing in the cloud, catering to the needs of both individual users and organizations.

show abstract

Section: Securing Single Owner Cloud Data Using Schmidt -Samoa Crypto...mentioning

confidence: 99%

Enhancing Data Security in Cloud Computing: A Comparative Analysis of Encryption Techniques

Al-Mukhtar

2023

IJRITCC

View full text Add to dashboard Cite

show abstract

“…[1]. The major responsibility of cloud is to share the data computations over scalable network nodes, namely user computers, cloud services, and data centers [2]. The cloud platform provides a numerous service such as software-as-a-service (Saas), Platform-as-a-service (PaaS), Infrastructure-as-a-Services.…”

Section: Introductionmentioning

confidence: 99%

Markle Hellman Knapsack Crypto-System Auditing Scheme for Privacy Preserving in Cloud Storage

Kumar*¹,

Niranjan²,

Kumari³

2019

IJITEE

View full text Add to dashboard Cite

Cloud computing is an on demand paradigm which provides a different kind of services to the cloud users. Cloud storage is the most popular service, as the data owners are free from the data management and storage overhead. However, the data owners’ concern about the security of the data. In order to address this issue, this paper presents an efficient security with an auditing scheme that guarantees the security of the data and preserve data integrity. In this paper, the cloud storage auditing model used efficient privacy preserving algorithm, namely Markle Hellman Knapsack Crypto-System (MHKCS) algorithm. This algorithm effectively improves the data integrity, confidentiality and security. Moreover, reduces the key generation time, encryption time and decryption time. The performance of MHKCS algorithm is calculated using evaluation metrics like encryption time, decryption time, key generation time and communication cost. The MHKCS algorithm achieved approximately 10% better performance in terms of encryption time than the existing methods RSA, MRSA, and MRSAC.

show abstract

Research and Application of Safety Management for Virtual Desktop in Colleges and Universities

Jia

Chen

2019

Computer and Computing Technologies in Agriculture XI

View full text Add to dashboard Cite

In the view that the traditional PC desktop management model can not meet the demand of teaching resources in colleges and universities, this paper introduces the cloud desktop technology into the teaching resource management of colleges and universities to improve the utilization rate of the teaching resources and the management level of the staff. In this paper, the author builds a 900-point cloud desktop system platform by using the cloud server and thin terminal of Huawei. Based on the virtualization technology and cloud computing security model, it realizes the unity of cloud desktop, resource sharing and ensures the security and remote control of data. The test application was carried out in the teaching and management of the training center on the cloud. Result of application indicates that cloud desktop is more efficient, convenient and safer than traditional PC in resource utilization, network requirements, hardware configuration, energy saving management and use of the model, and it also has a huge development advantages.

show abstract

An Elliptic Curve Based Schnorr Cloud Security Model in Distributed Environment

Cited by 10 publications

References 25 publications

Enhancing Data Security in Cloud Computing: A Comparative Analysis of Encryption Techniques

Enhancing Data Security in Cloud Computing: A Comparative Analysis of Encryption Techniques

Markle Hellman Knapsack Crypto-System Auditing Scheme for Privacy Preserving in Cloud Storage

Research and Application of Safety Management for Virtual Desktop in Colleges and Universities

Contact Info

Product

Resources

About