A novel framework to prevent privacy breach in cloud data storage area service

Dhasarathan, Chandramohan; Vengattaraman, T.; Rajaguru, D.; Baskaran, R.; Dhavachelvan, P.

doi:10.1109/icghpc.2013.6533903

Cited by 6 publications

(3 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SHA-2 algorithm for verification of the data integrity together with the XOR method, station-to-station key protocol for generation of keys and mutual authentication with TPA are collectively used to combat the threat of integrity in the Clouds (Kaur and Singh, 2013). A multilayer framework has been presented by Chandramohan et al (2013). The framework aims for preventing the digital data loss and preserve the secrecy of Cloud.…”

Section: Literature Reviewmentioning

confidence: 99%

ADRCN: A Framework to Detect and Mitigate Malicious Insider Attacks in Cloud-Based Environment on IaaS

Oberoi¹,

Mittal²,

Gujral³

2019

Int J Math, Eng, Manag Sci

View full text Add to dashboard Cite

Security is a critical factor for any of the computing platforms. Cloud computing is a new computing environment but still, its basic technology is the Internet. Thus, Cloud computing environment not only has the threats of its own but it is also prone to security issues of its underlying technology i.e. Internet. In this paper, the authors are proposing a secure routing framework viz. Authenticated Dynamic Routing in Cloud Networks (ADRCN) to mitigate the malicious insider attacks while maintaining the path integrity in the Clouds. Symmetric cryptography with hashing is used to maintain the integrity of the path between the source and destination. The purpose of ADRCN is to maintain the integrity of the path between the client and data center. If malicious insider tries to perform an attack between the client and the data center then it will be detected. This work aims to give a solution for detection and prevention of malicious insider attacks in Cloud-based environments.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

ADRCN: A Framework to Detect and Mitigate Malicious Insider Attacks in Cloud-Based Environment on IaaS

Oberoi¹,

Mittal²,

Gujral³

2019

Int J Math, Eng, Manag Sci

View full text Add to dashboard Cite

show abstract

“…Chandramohan.D. et.al [6],In order to provide the high security in cloud environment the author proposes a new framework which prevents the confidential information by multiple encryption of onion and garlic privacy preserving layered approach i.e. OPPA & GPPA .An Onion privacy preserving approach performed the multiple encryption using public key cryptography in order to achieve the data privacy, data breach & data loss.…”

Section: Related Workmentioning

confidence: 99%

A Novel Framework for Cloud Security against Data Breach

Gupta¹,

Chourey²

2014

IJCA

View full text Add to dashboard Cite

Cloud computing is the most emerging technology nowadays. Every internet user accessing cloud services either directly or indirectly without knowing or aware of security aspects because of trust between the user and the cloud service provider. But, this trust is harmed by the malicious user or hacker by breaching the data, data theft & data loss by using various mechanisms. In this research paper we proposed a architecture which provide protection to the cloud environment and controls Data Breach and Data Loss. In this research paper we also explore the deficiencies in the current cloud threat control strategies. No single mechanism can solve the serious cloud security problem. So, use of many traditional and technical strategies provide the secure cloud computing environment.

show abstract

“…Most of time data is saving in computers. Online data leakage problem is latest big problem [2] Data loss problem is face when data is removed from computer intentionally or unintentionally. This type of data having both i.e.…”

Section: Introductionmentioning

confidence: 99%

Data Security by Encryption-Decryption using AES Algorithm of Cryptography

Luhaniwal¹

2019

IJRASET

View full text Add to dashboard Cite

Cloud computing describes the employment of an applications, information and infrastructure. It provides a collection of resources and services like computation, network and the data storage are offered in an exceptionally pay as the manner and services. With the widely known implementation of cloud computing various organizations have issues to connect with their knowledge security. The data security is also in the main things that are dealt in the cloud computing environment. Throughout cloud computing distributed resources are shared among the agency of consolidate in expose environment. There are a number of organizations those whole businesses is depends on their data. There are a lots of cases where data is leaked internally by the employees at cloud provider's end that leads to lose the believe in the cloud provider persons and organization has a fear to transfer towards the cloud while in that type of case an organization can leads to complete interruption of their business. In some beforehand works, researchers tried to reduce the data leakage on the cloud through encrypting the data that is at rest. Several encryption algorithms are accustomed to perform these actions. In this thesis work present a solution to reduce the data loss/leakage with the better level compare than others and together with it also provides better protection to them. In this thesis work the encryption technique are used before uploading the information on the cloud. Additionally hashing methods is also used to consult the authenticity of the information after downloading by the cloud. AES algorithm used to give confidentiality whereas SHA hashing algorithm is intended for authenticity of the data. Therefore this work provides us an improved way to encrypt and decrypt the data and also give the facility to confirm the authenticity rather than the previous work.

show abstract

A novel framework to prevent privacy breach in cloud data storage area service

Cited by 6 publications

References 27 publications

ADRCN: A Framework to Detect and Mitigate Malicious Insider Attacks in Cloud-Based Environment on IaaS

ADRCN: A Framework to Detect and Mitigate Malicious Insider Attacks in Cloud-Based Environment on IaaS

A Novel Framework for Cloud Security against Data Breach

Data Security by Encryption-Decryption using AES Algorithm of Cryptography

Contact Info

Product

Resources

About