Extending Personal Computer Storages for Improved Access over Web Interfaces

Using cloud data clients may transfer data from their computer systems to cloud servers. Hence, user will not have any burden of maintenance and also he gets high quality data storage services. Many security issues are concerned with cloud storage. Cloud service providers or storage servers are not completely trustworthy. The user is concerned about the information stored on cloud are in place or not turns. This paper is based on homomorphic hash algorithm. Further this supports dynamic operations such as insert, update, delete and modify at block level, for data dynamics Merkle Hash Tree is used which helps to find the location of each dynamic operation. Third party auditor checks the user's data for correctness and gives the accuracy of the data that is stored in cloud server. The communication and computation overhead are reduced. Deduplication technique is used to check whether the file that user need to store in cloud storage is already exist at cloud server or not. This framework is effective and secure against replace attack launch by malicious server.

Cloud storage provides great benefits and advantages like reduction in cost, increased flexibility, elasticity and the efficient use of resources. With these great advantages, there are concerns and problem for cloud users. Some obstacles in using cloud computing services are because of its distributed and untransparent nature. That's why users have no control over their data and information and are not sure of whether or not to trust cloud providers. Therefore, the objective of this research is to examine the influence of customer and provider characteristics on cloud service outcome, impact of Trust on cloud service outcome, and to examine if Trust mediate the relationship of customer characteristics and provider’s characteristics with cloud service outcome. In order to achieve the objectives of this research, the analyses of measurement model, factor analysis, assessment of structure model and regression analysis has been conducted. The Findings of this study shows that the existing threats in cloud service is one of the reason why users are not trusting cloud service providers. These threats which are privacy and security cause unwillingness to use cloud services. This study also found that Trust plays an enormous role for cloud service users and providers because it increases usage, willingness to use among customers, and reputation of cloud service providers. It also found that Outcome is really low if there is no trust in these services. This study will help cloud service providers/developers to know the reasons why some people and organizations are not willing to use their services.

Cloud computing has empowered the individual user by providing seemingly unlimited storage space and availability and accessibility of data anytime and anywhere. Cloud service providers are able to maximize data storage space by incorporating data deduplication into cloud storage. Although data deduplication removes data redundancy and data replication, it also introduces major data privacy and security issues for the user. In this paper, a new privacy-preserving framework that addresses this issue is proposed. Our framework uses an efficient deduplication algorithm to divide a given file into smaller units. These units are then encrypted by the user using the combination of a secure hash function and a block encryption algorithm. An index tree of hash values of these units is also generated and encrypted using an asymmetric search encryption scheme by the user. This index tree will enable the cloud service provider to search through the index and return the requested units. We will show that our proposed framework will allow cloud service and storage providers to employ data deduplication techniques without giving them access to either the users' plaintexts or the users' decryption keys.

Motivated by most of the current cloud resource allocation policy which are cloud service provider/owner centric in which criteria are maximum utilization, maximum revenue collection, and performance, of cloud resources. In this paper we present a framework which act as cloud storage broker and provide the cloud storage service to user the using user centric criteria are which based on minimum cost and maximum security. Like other computing model resources allocation is also a challenging task in cloud computing. Cloud storage services are widely used to eliminate the need for local storage to lowering operational and maintenance costs. However, budget, security and privacy are major concerns when data are out-sourced. In this paper, we also describe and implement proposed cloud resource allocation framework that integrates cloud storage resources that are provided by different cloud service providers. Finally evaluate the proposed framework using case study in which different user request and cloud resource are generated randomly. The simulation results suggest that approach reach near to optimal solution for resource allocation. The result shows that efficiency of the framework and algorithm depends on the configuration of available resources as well as on configuration of user request.

<span lang="EN-US">Cloud Computing is the ability to improve the utility or train new human resources without investing in new infrastructure, or add capabilities to existence without the latest software licensing. It expanded the capabilities of Information Technology (IT). From the past few years, cloud computing has developed from a good business concept in the best rising sectors of the IT industry. But more information on individuals and companies was put in the cloud, and concerns began to think about how secure the cloud environment was. Despite cloud surrounding structures, enterprise users still do not want to expand their business in the cloud. Security reduces the growth of cloud computing and continues to spread the market with complexity with data privacy and data protection. The security of cloud computing has constantly been an significant aspect of improved quality of service from cloud service providers. Data storage in the cloud has a problem related to data security. However, cloud computing construct many new security challenges which have not been well examine. In order to ensure that the user's data in the cloud is secure, we have proposed an effective mechanism with a distinctive feature of data integrity and privacy. This paper focusing on problems relating to the cloud data storage techniques and security in virtual environment. We recommend a method for providing data storage and security in cloud using public key Cryptosystem, which uses the concept of the modified RSA algorithm to provide better security for the data stored in the cloud. </span>

In the current technological era, the use of computers becomes an essential part of our life. The Internet has been become as mandatory in the human-being life. The cloud computing has the potential to transform the current static Internet into a fully integrated future Internet. It is a style of computing in which resources are provided “as a service” to users who need not have knowledge or expertise and or control over the infrastructure. The cloud computing technology has become a popular and necessary in the present decade. The cloud computing is the way of sharing resources for the use of various resources via the internet. Hence there are many cloud service providers are competing with each other in order to provide cloud services to the cloud users. In fact, the growth of cloud users has been increased tremendously from last decade to the present decade. In directives to provide right cloud service to users is aimed at almost all cloud service providers. The cloud service providers are also increasing many features of their cloud service products to attract the cloud service users. But cloud service users are facing difficulties to select the right service from a pool of cloud services. Hence it has become necessary for cloud service users to evaluate cloud services and select the best one, for this purpose a new evaluation model has been proposed in this paper based on data mining Fuzzy clustering algorithm.

With the rapid development of cloud advancement, a data security challenge has emerged. In this paper, a technique based on elliptical cryptography and cuckoo search algorithm is proposed. With this technique, data owners securely store their data files in the cloud server. Initially the user sends a file storage request to store a file in a cloud server provider (CSP). The input file is checked whether it is sensitive or non-sensitive by the user. If the file is sensitive, then it would be split and stored in different virtual machines (VMs), and if the file is non-sensitive, then it would be assigned in a single VM. This approach was used for the first time as per the survey. To add further security, the sensitive data retrieval needs an encryption process that is supported by the proposed algorithm. If the data owner stores the sensitive data to cloud server, the data owner's document is encrypted by the double encryption technique. Here RSA and optimal elliptic curve cryptography (OECC) algorithm is used to encrypt the document with high security. The authors have used cuckoo search algorithm to identify the optimal key in ECC. This paper has proposed a novel cryptography approach for delivering mass distributed storage by which user's original data cannot be directly reached by cloud operators. Hence, this research has proved that the proposed work will give better securable data storage solving the security issues.

Cloud service, which has changed the business computing pattern, redefines the calculation scope of distributed systems by cloud computing approaches. The existing cloud service model provides different users an advanced on-demand computing model, and then achieves resource interaction between cloud service providers and users by cloud computing. However, this model, working as a centralized service strategy of resource allocation, also generates much scattered space debris resulting in a low efficiency of resource scheduling and utilization. To address this issue, we devise an improved model of crowd sourcing service and propose a technique of storage resource allocation and scheduling, where cloud service providers, as a resource agent, only provide leasing storage space for individual applicants instead of providing storage resources directly. This technique achieves allocation and scheduling of individual storage resources dynamically, according to user's expectations and individual storage providers constraints. The experimental results based on a large data set show that the improved model reduces the storage space of cloud service providers by 88.2% and improves storage space utilization rate of individuals by 65.2%, The improved model reduces the user fees by 64.8% and the cloud services development cost by 78.6% than that of existing models, In addition, the improved model and methods provide higher profits and efficiency for cloud service providers.

An advancement in computing qualities that are both economical and powerful have been made possible by the Internet's dramatic development in processing and storage methods. A new technology that offers internet application access and data storage, cloud computing is becoming more and more popular. Both opportunities and challenges abound in this system. Two extremely important issues that need to be addressed are data security and the growing amount of similar data duplication in cloud. A cloud computing system, supported via distributed & virtual machine technology, offers the most comprehensive services in the most effective way. When using the cloud technology, customers may access their limitless storage space from any location at any time. Cloud service providers are responsive to customer requests to increase data storage capacity by integrating cloud systems with deduplication techniques, while deduplication techniques erase redundant data that is available in cloud environments, according to the company. Preserving data privacy is another significant issue that needs to be acknowledged for its significance. For reducing duplicate data quantity in storage system, the deduplication technique was developed. This study offers a novel method for eliminating duplicate or repetitive information from cloud servers, that might aid in lowering storage space amount and needed bandwidth. It was illustrated that by using testing outcomes, proposed model eliminates the main drawbacks of the existing methods while also offering increased security for data kept in cloud storage

Cloud computing can be used to access and storing data and delivery of different services over the internet. Using cloud storage, users can remotely store their data. Cloud service provider (CSP) provides data owners to store and access their valuable data in the cloud server and offers them to make use of on-demand data access without maintaining a local copy of their data. Even though this service avoids the data owners from making use of their third-party auditor, it certainly possesses serious security threats in maintaining the data owners cloud data. In addition, integrity is also an important issue in maintaining the data owners data stored in the cloud server. This survey presents an overview of integrity check and continuous auditing. The review work based on creating secure clouds by continuous auditing and cloud certification system (CCS) is used for high level security. This survey helps to provide the security by continuous auditing and overcome the integrity issues and to avoid the attacks by integrity checking algorithm and key validation mechanism. In this survey paper, various researchers’ ideas based on integrity checking and key schemes have been analyzed as literature review.KeywordsCloud computingThird-party auditorIntegrity checking algorithmUser IDKey validation mechanism

HBRSS: Providing high-secure data communication and manipulation in insecure cloud environments

Cloud computing is currently the most hyped and popular paradigm in the domain of distributed computing. Multiple vendors are providing infrastructure, platform, and software-related cloud products or solutions, and the number of such vendors is growing rapidly. But the reality is that there is very little in the form of standards in general and interoperability standards in particular. This leads to a challenging situation for cloud service consumers as they need to use solutions provided by multiple cloud vendors in order to fulfill their business requirements, and the lack of standardization leads to lack of interoperability among the solutions provided by varied vendors. Service brokers act as intermediaries between the cloud service providers and consumers. The role of service brokers becomes critical in situations that need integration among multiple systems as they bridge the interoperability gaps among multiple cloud solutions and thus compensate for the lack of standards. They do so by acting as agents adding value on behalf of the service consumers. The usage of such cloud brokers also helps to future-proof the solution as service brokers add a layer of indirection, thus enabling loose coupling among the cloud service consumers and providers. The aim of this chapter is to review the role of cloud service brokers in cloud computing. The review includes consolidation of the definitions and characteristics of cloud service brokers, review of the current brokerage solutions, and interfacing requirements. Also presented are a high-level cloud service broker functional architecture, criteria for selection of a cloud service broker, future trends and review of benefits, and challenges of using cloud service brokers.

Cloud Security is still considered one of the main factors inhibiting the diffusion of the Cloud Computing paradigm. Potential Cloud Service Customers (CSCs) do not trust delegating every kind of resources and data to external Cloud Service Providers (CSPs). The problem grows in complexity due to the increasing adoption of complex supply chains: CSPs that offer Sofware-as-a-Service (SaaS) cloud services often do not have their own data centers, but just acquire resources and services from other CSPs. This makes ithard, if not impossible, to ascribe the responsibility of a securityincident. A possible solution is the adoption of Security ServiceLevel Agreements (SLAs): CSPs should deliver services withan SLA that details each guarantee offered in terms of security, and CSCs should be able to compare offerings from differentCSPs and verify that SLAs are respected during service lifecycle. This paper shows how it is possible to build up a per-serviceSecurity SLA in a chain of cloud services, proposing asolution based on a security evaluation technique to comparedifferent cloud service supply chains based on their SecuritySLAs.

CloudFNF: An ontology structure for functional and non-functional features of cloud services

Choosing the right cloud service provider and cloud services according to cloud user requirements is a complex task, due to the increase in the number of cloud providers. Multi-criteria decision making (MCDM) is used where selecting, comparing and ranking of different Criteria of multiple alternatives is a requirement. Cloud providers present all kinds of cloud services, but they vary in quality, costs, customer experience, and service delivery. One of the problems with current cloud computing is the commitment of cloud service providers to the Service Level Agreement (SLA) with cloud providers users, but there are little verification frameworks to verify that cloud service providers provide cloud services according to their commitment. In the current literature, there is a lack of assessment models that provide the true status of cloud providers to cloud users. Therefore, this paper focuses on designing a new technique for selecting cloud service in the fuzzy environment by relying on Fuzzy AHP-TOPSIS by integrating the fuzzy analytical hierarchy process (AHP) concepts and the ideal solution (TOPSIS) concepts. The structure of the cloud service selection problem and the weights of the standards are determined by The Fuzzy AHP technique concepts. Fuzzy TOPSIS concepts used to arrange the final solution. The effectiveness and efficiency of the proposed technique is clarified by increasing accuracy by almost 15% through implementation and case studies.