Security issues in cloud computing and its counter measure

Nayak, Akshay A; Sridhar, Nigamanth; Poornima, G R; Shankar, Shiva

doi:10.1109/rteict.2017.8256554

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…Rachna Jain, Sushila Madan,Bindu Garg [1] in 2016, "Homomorphic Framework to Ensure Data Security in Cloud Environment", tells about the cryptographic techniques that can be used as secure storage which can help cloud computing at some extent also focuses on the major disadvantage of secure storage that it cannot perform processing on encrypted data, this problem is sort out using homomorphic encryption as in homomorphic encryption data is stored as cipher text and processing is performed on this cipher text. So there is no risk of data exposure.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The major obstacle over cloud is that confidential data will be used by other enterprises [1]. For that obstacle to overcome or for strengthen the confidentiality of data, we use Homomorphic Encryption technique which is able to perform operation on encrypted data without knowing the secret key, so that data will never be clear neither during transmission nor during processing.…”

Section: Homomorphic Encryption and Its Challenges In Cloud Compumentioning

confidence: 99%

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A Survey on Various Security Issues and Challenges to Secure Cloud Computing

Rathi¹,

Khan²,

Jain³

2018

IJIRCST

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Cloud computing has evolved as one of the most powerful approach in the IT industry. It provides so many advantages like minimum expense, great performance, availability of resources, due to which it is considered as revolution amongst organizations. In cloud computing various resources are shared through network in open environment so that the user can access the information from anywhere, but there exist the issues of security and privacy of user and its information. It also provides a broad study on the issues and challenges of security .Growth of cloud computing is mainly decreased due to these concerns and challenges. Even though there is secure Homomorphic encryption there lays certain security issues and attacks with it. This paper deals with the analysis of security issues on cloud computing and finding counter measures on those issues. The fundamental security issues such as confidentiality, integrity, availability, trust and audit and compliance is analyzed and the impact on each characteristics of cloud computing as well as the third party control has been examined.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Homomorphic Encryption and Its Challenges In Cloud Compumentioning

confidence: 99%

A Survey on Various Security Issues and Challenges to Secure Cloud Computing

Rathi¹,

Khan²,

Jain³

2018

IJIRCST

View full text Add to dashboard Cite

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“…Cloud Computing is not a single technology or architecture it is a platform of computing, networking, security, privacy and storage technologies. Millions of people and organizations around the world adopted cloud computing [1].…”

Section: Introductionmentioning

confidence: 99%

A Framework for Implementing Machine Learning algorithms using Data sets

Chandra¹,

Ranjith²,

Shanthisri³

et al. 2019

IJITEE

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The rapid development of cloud computing, big data, machine learning and datamining made information technology and human society to enter new era of technology. Statistical and mathematical analysis on data given a new way of research on prediction and estimation using samples and data sets. Data mining is a mechanism that explores and analyzes many dis-organized or dis-ordered data to obtain potentially useful information and model it based on different algorithms. Machine learning is an iterative process rather than a linear process that requires each step to be revisited as more is learned about the problem. We discussed different machine learning algorithms that can manipulate data and analyses datasets based on best cases for accurate results. Design and Implementation of a framework that is associated with different machine learning algorithms. This paper expounds the definition, model, development stage, classification and commercial application of machine learning, and emphasizes the role of machine learning in data mining by deploying the framework. Therefore, this paper summarizes and analyzes machine learning technology, and discusses the use of machine learning algorithms in data mining. Finally, the mathematical analysis along with results and graphical analysis is given

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Efficient Retrieval of Data from Cloud Databases using Hash Partitioned Buckets

Nair.M

Dewangan

2019

2019 Innovations in Power and Advanced Computing Technologies (I-Pact)

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Security issues in cloud computing and its counter measure

Cited by 4 publications

References 10 publications

A Survey on Various Security Issues and Challenges to Secure Cloud Computing

A Survey on Various Security Issues and Challenges to Secure Cloud Computing

A Framework for Implementing Machine Learning algorithms using Data sets

Efficient Retrieval of Data from Cloud Databases using Hash Partitioned Buckets

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