Detaching and Reproducting of Data in a Cloud for Excellent Performance and Security

2019 ◽  
Vol 1 (2) ◽  
pp. 66-72
Author(s):  
Ravi D ◽  
Ravina T ◽  
Buvanasundhari P ◽  
Vikram G.K

Cloud computing is third party administrative control so our data is outsourced it gives rise to security concerns.security is one of the important aspect of any technology. Therefore high security measures are required to protect our data. In this paper, we propose Detaching and Reproducting of Data in a cloud for excellent performance and security that collectively approaches security issues and data sharing protectively. In this methodology, we divide the file into fragments and replicated over cloud nodes. Files are fragmented and shuffled like (1-2,2-3,3-4.4-1)in sequential order and stored in multiple servers. Moreover nodes sharing fragments are separated with certain distance by using T-colouring graph to prohibit an attacker by guessing the location of fragments. This methodology does not rely on traditional cryptography techniques.

Cloud Computing is a robust, less cost, and an effective platform for providing services. Nowadays, it is applied in various services such as consumer business or Information Technology (IT) carried over the Internet. This cloud computing has some risks of security because, the services which are required for its effective compilation is outsources often by the third party providers. This makes the cloud computing more hard to maintain and monitor the security and privacy of data and also its support. This sudden change in the process of storing data towards the cloud computing technology improved the concerns about different issues in security and also the various threats present in this cloud storage. In the concept of security in cloud storage, various threats and challenges are noted by recent researchers. Hence, an effective framework of providing security is required. The main aim of this paper is to analyze various issues in securing the cloud data threats present in the cloud storage and to propose a novel methodology to secure it. This paper also identifies the most crucial components that can be incorporated in the already existing security measures while designing the storage systems based on cloud. This study also provides us to identify all the available solutions for the challenges of security and privacy in cloud storage.


Cloud computing has become extremely popular. It is one of the fastest evolving technologies. It is mostly used in industrial IoT, where the data generated is huge. It has many advantages. But there are also a few security issues we have to deal with when it comes to using the cloud. Data plays a very significant role in cloud computing. But data breaching can collapse a business. Also, any third party can log in to these cloud servers and use the valuable data for various other purposes. So trustworthy security measures have to be taken, to make sure that the information is protected and misuse of data does not take place. A few biometric methods have been implemented, but it not very cost-effective. And since the data is stored on remote servers, the data can never be a hundred percent safe. A new system has to be implemented, which is both easy to execute and demands less cost. This paper discusses how Iris and Retina scanners can be put together to ensure the security of the data stored in the cloud servers.


Author(s):  
Shrutika Khobragade ◽  
Rohini Bhosale ◽  
Rahul Jiwahe

Cloud Computing makes immense use of internet to store a huge amount of data. Cloud computing provides high quality service with low cost and scalability with less requirement of hardware and software management. Security plays a vital role in cloud as data is handled by third party hence security is the biggest concern to matter. This proposed mechanism focuses on the security issues on the cloud. As the file is stored at a particular location which might get affected due to attack and will lost the data. So, in this proposed work instead of storing a complete file at a particular location, the file is divided into fragments and each fragment is stored at various locations. Fragments are more secured by providing the hash key to each fragment. This mechanism will not reveal all the information regarding a particular file even after successful attack. Here, the replication of fragments is also generated with strong authentication process using key generation. The auto update of a fragment or any file is also done here. The concept of auto update of filles is done where a file or a fragment can be updated online. Instead of downloading the whole file, a fragment can be downloaded to update. More time is saved using this methodology.


2018 ◽  
pp. 54-76
Author(s):  
Tabassum N. Mujawar ◽  
Ashok V. Sutagundar ◽  
Lata L. Ragha

Cloud computing is recently emerging technology, which provides a way to access computing resources over Internet on demand and pay per use basis. Cloud computing is a paradigm that enable access to shared pool of resources efficiently, which are managed by third party cloud service providers. Despite of various advantages of cloud computing security is the biggest threat. This chapter describes various security concerns in cloud computing. The clouds are subject to traditional data confidentiality, integrity, availability and various privacy issues. This chapter comprises various security issues at different levels in environment that includes infrastructure level security, data level and storage security. It also deals with the concept of Identity and Access Control mechanism.


2016 ◽  
pp. 2076-2095
Author(s):  
Abhishek Majumder ◽  
Sudipta Roy ◽  
Satarupa Biswas

Cloud is considered as future of Information Technology. User can utilized the cloud on pay-as-you use basis. But many organizations are stringent about the adoption of cloud computing due to their concern regarding the security of the stored data. Therefore, issues related to security of data in the cloud have become very vital. Data security involves encrypting the data and ensuring that suitable policies are imposed for sharing those data. There are several data security issues which need to be addressed. These issues are: data integrity, data intrusion, service availability, confidentiality and non-repudiation. Many schemes have been proposed for ensuring data security in cloud environment. But the existing schemes lag in fulfilling all these data security issues. In this chapter, a new Third Party Auditor based scheme has been proposed for secured storage and retrieval of client's data to and from the cloud service provider. The scheme has been analysed and compared with some of the existing schemes with respect to the security issues. From the analysis and comparison it can be observed that the proposed scheme performs better than the existing schemes.


2010 ◽  
Vol 4 (2) ◽  
pp. 36-48 ◽  
Author(s):  
Kevin Hamlen ◽  
Murat Kantarcioglu ◽  
Latifur Khan ◽  
Bhavani Thuraisingham

In this paper, the authors discuss security issues for cloud computing and present a layered framework for secure clouds and then focus on two of the layers, i.e., the storage layer and the data layer. In particular, the authors discuss a scheme for secure third party publications of documents in a cloud. Next, the paper will converse secure federated query processing with map Reduce and Hadoop, and discuss the use of secure co-processors for cloud computing. Finally, the authors discuss XACML implementation for Hadoop and discuss their beliefs that building trusted applications from untrusted components will be a major aspect of secure cloud computing.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Deina Kellezi ◽  
Christian Boegelund ◽  
Weizhi Meng

In 2015, the European Union passed the PSD2 regulation, with the aim of transferring ownership of bank accounts to the private person. As a result, Open Banking has become an emerging concept, which provides third-party financial service providers open access to bank APIs, including consumer banking, transaction, and other financial data. However, such openness may also incur many security issues, especially when the data can be exposed by an API to a third party. Focused on this challenge, the primary goal of this work is to develop one innovative web solution to the market. We advocate that the solution should be able to trigger transactions based on goals and actions, allowing users to save up money while encouraging positive habits. In particular, we propose a solution with an architectural model that ensures clear separation of concern and easy integration with Nordea’s (the largest bank in the Nordics) Open Banking APIs (sandbox version), and a technological stack with the microframework Flask, the cloud application platform Heroku, and persistent data storage layer using Postgres. We analyze and map the web application’s security threats and determine whether or not the technological frame can provide suitable security level, based on the OWASP Top 10 threats and threat modelling methodology. The results indicate that many of these security measures are either handled automatically by the components offered by the technical stack or are easily preventable through included packages of the Flask Framework. Our findings can support future developers and industries working with web applications for Open Banking towards improving security by choosing the right frameworks and considering the most important vulnerabilities.


Now a days data is growing at a very fast rate. Here data is referred not only with organizational data but the data also from non-organizational and social media, the data may be PDF’s, Photos, Audios, Videos, XML file etc. To earn more profit, the organizations tends to establish Cloud Storage with minimum establishment cost and high security. To provide robust and secure platform is the main aspect of cloud. Lots of algorithms have been designed and implementing for securing the data at cloud but the attack on 2014 on cloud in which 50 million accounts were hacked, shows that cloud is not fully secured. The main focus of this paper is to draw attention towards security issues and cost-efficient cloud and the solution for implementing it.


2017 ◽  
Vol 10 (13) ◽  
pp. 153
Author(s):  
Santhanalakshmi L ◽  
Sakkaravarthi R

Cloud is a general term used in organizations that host various service and deployment models. As cloud computing offers everything a service,it suffers from serious security issues. In addition, the multitenancy facility in the cloud provides storage in the third party data center which is considered to be a serious threat. These threats can be faced by both self-providers and their customers. Hence, the complexity of the security should be increased to a great extend such that it has an effective defense mechanism. Although data isolation is one of the remedies, it could not be a total solution. Hence, a complete architecture is proposed to provide complete defense mechanism. This defense mechanism ensures that the threats are blocked before it invades into the cloud environment. Therefore, we adopt the mechanism called artificial immune system which is derived from biologically inspired computing. This security strategy is based on artificial immune algorithm. 


2018 ◽  
pp. 1624-1656
Author(s):  
G. M. Siddesh ◽  
K. G. Srinivasa ◽  
L. Tejaswini

Security in cloud is to be increased to strengthen the confidence and trust of cloud service consumers. In the upcoming years, the scientific research and education teams will have to investigate finding new ways to handle the issue of cloud security. This chapter discusses the major threats and their impact on clouds, security measures to handle the attacks in clouds, security as a service in research and education, and steps to enhance security feature in clouds.


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