Data Protection Techniques for Building Trust in Cloud Computing

Saeed, Muhammad Yousaf; Khan, Muhammad Naeem

doi:10.5815/ijmecs.2015.08.05

Cited by 4 publications

(4 citation statements)

References 33 publications

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“…Whenever a user has established the connection to the cloud, the user will need to login and access the cloud resources in order to drive forward the idea of hosting applications, websites or even doing online sales securely through a secure login tunnel. This has to be fully done by successful authentication and authorization to avoid loss of data and identity being manipulated which could lead to unwanted access to the cloud system [5].…”

Section: Literature Reviewmentioning

confidence: 99%

Cloud Computing Security Services to Mitigate DDoS Attacks

Bhardwaj¹,

Goundar²

2020

Cloud Computing Security - Concepts and Practice

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This chapter focuses on the challenges and risks faced in cloud security services in the areas which include identity access management, web security, email security, network security, encryption, information security, intrusion management, and disaster management while implementing a cloud service infrastructure. This chapter endorses the best practices in successfully deploying a secure private cloud infrastructure with security measures and mitigation and proposed a unique three-tier infrastructure design to mitigate distributed denial of service attacks on cloud infrastructures.

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Section: Literature Reviewmentioning

confidence: 99%

Cloud Computing Security Services to Mitigate DDoS Attacks

Bhardwaj¹,

Goundar²

2020

Cloud Computing Security - Concepts and Practice

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“…Then the original information is obtained by the authorized person who decodes the encrypted message in an appropriate manner. And this procedure is termed as decryption [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Modified ECC for Secure Data Transfer in Multi-Tenant Cloud Computing

Chandrika¹,

Tamizhdurai²

2022

IJCNIS

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Cloud computing technologies comprise various kinds of significant desirable constrains such as security, liability, government surveillance, telecommunications capacity, anonymity and privacy. The usage of cipher text technology is considered as a desired technique for performing the process of encryption in order to solve the issue of granting security to the data that are shared in the cloud. Similarly, the architecture of multi-tenant in the cloud computing system grants benefits to both the service providers and end-users which shares a common cloud platform to multiple tenants (i.e.) users and suitable resources are also computed by implementing proposed architecture. Therefore in this research work, the concept of cipher text multi-tenant are integrated for providing enhanced security to the data shared in the cloud environment. Hence a Modified Elliptic Curve Cryptography (MECC) based on Diffee Hellman algorithm is proposed in this research paper which provides enhanced security using alternate key generation. The encryption, decryption, upload and download time are calculated and it is concluded that the algorithm that is proposed in this research paper consumes less time for all these measures when comparing with other existing algorithms. Characteristics like less memory, high operational performance, small sized keys and rapid key generation process, and effective resource savings enable the modified ECC to obtain high efficiency. The encryption time of the proposed MECC system was 51ms with the key length 4096 bits, whereas existing method had 92ms as encryption time. Likewise With the key length of 4096 bits, the decryption time for the proposed model was 159ms. Accordingly the proposed system has reduced cipher text key size of 836KB when compared with the existing AES, Blow Fish, and Two Fish. Additionally, the key generation time (35 s) also seems to be considerably reduced when compared with the existing methods. These statements reveal that the proposed system outshine the state of art methods in terms of key generation time, encryption and decryption time and computational complexity.

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“…Cloud computing [1] is a potent Internet-based service, which offers a new technique to provide huge amount of shared resources offered by several cloud service providers (CSPs). There are t wo main advantages for adopting a cloud solution [2], which have been discussed in the literature.…”

Section: Introductionmentioning

confidence: 99%

A Risk-Aware Application Scheduling Model in Cloud Computing Scenarios

Arman¹

2016

IJISA

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Abstract-Cloud users usually have different preferences over their applications that outsource to the cloud, based on the financial pro fit of each application's execution. Moreover, various types of virtual machines are offered by a cloud service provider with distinct characteristics , such as rental prices, availab ility levels , each with a different probability of occurrence and a penalty, which is paid to the user in case the virtual mach ine is not available. Therefore, the problem o f applicat ion scheduling in cloud computing environments, considering the risk of financial loss of application-to-VM assignment becomes a challenging issue. In this paper, we propose a riskaware scheduling model, using risk analysis to allocate the applications to the virtual machines , so that, the expected total pay-off o f an application is maximized, by taking into account of the priority of applications. A running examp le is used through the paper to better illustrate the model and its application to imp rove the efficiency of resource assignment in cloud computing scenarios.

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Data Protection Techniques for Building Trust in Cloud Computing

Cited by 4 publications

References 33 publications

Cloud Computing Security Services to Mitigate DDoS Attacks

Cloud Computing Security Services to Mitigate DDoS Attacks

Modified ECC for Secure Data Transfer in Multi-Tenant Cloud Computing

A Risk-Aware Application Scheduling Model in Cloud Computing Scenarios

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