toward secure and dependable storage services in cloud computing pdf

Toward secure and dependable storage services in cloud computing pdf

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Toward Secure and Dependable Storage Services In Cloud Computing

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Toward Secure and Dependable Storage Services In Cloud Computing

Show all documents Data Leakage Detection and Dependable Storage Service In Cloud Computing The Data integrity is measured by MD5[6] by the help of bit message, that message is given by user to create a fingerprint message is of variable length; the main thing is that it is irreversible. The Father of this algorithm is Professor Ronald L. Rivets of MIT. This algorithm is best for 32 bit and 16 bit machines the comp-ability of this algorithm can be extended to 64 bit machines also but this type of scheme may be quite slow because of its architecture.

MD5 is the extension of MD4 algorithm which is quite faster because of its three rounds and MD5 contains four rounds which makes its slower.

They contacted these users and helped them protect their accounts, the company wrote in a blog post today. We believe this improper access is what led to the data leakage. These are the main reason behind the data leakage detection and dependable storage services. Data leakage detection and dependable storage services not only keep our data safe but also helps us to be tension free [4].

Data Leakage Detection using Cloud Computing In an excellent world, there would be no ought to hand over sensitive data to agents that may unknowingly or maliciously leak it. And even if we had to hand over sensitive knowledge, in an exceedingly excellent world we tend to may watermark every object so we tend to may trace its origins with absolute certainty.

Our model is relatively. IDSs create cautions for the managers which depend on genuine positives or genuine alerts when really interruption happens and false positive or false cautions in the event of a wrong recognition by the framework. IDSs can distinguish interruption designs by basically examining the system bundles, applying marks pre-characterized manages and creating cautions for framework overseers.

IDS utilizes two technique for recognition i. Other technique is abuse discovery that can identify through prestigious assault designs and coordinating an arrangement of characterized guidelines or assault against framework vulnerabilities through port examining [3].

Since Cloud foundation has tremendous system activity, the customary IDSs are not sufficiently productive to deal with such a substantial information stream. In a conventional system, IDS screens, recognizes and alarm the authoritative client for system activity by conveying IDS on key system stifle focuses on client site.

Yet, in Cloud arrange IDS must be set at Cloud server site and totally directed and oversaw by the specialist organization. The interruption information would just be imparted through the specialist co-op and client needs to depend on him. The cloud specialist co-op dislike to illuminate the client about the misfortune and can conceal the data for his picture and notoriety.

In such a case, an unbiased outsider checking administration can guarantee sufficient observing and alarming for cloud client. In this report, we have proposed a productive multi-strung cloud IDS, managed and observed by an outsider ID checking administration, who can give ready reports to cloud client and master guidance for cloud specialist co- op.

Keeping in mind the end goal to determine the issues which customary IDSs can not resolve, a productive and solid conveyed Cloud IDS model is proposed. Data Storage in Cloud Computing Secure and Dependable Storage Services: Storage service of permits consumers to the data in cloud as well as allowed to utilize the available well qualified application with no worry data storage maintenance.

The proposed a flexible distributed storage integrity auditing mechanism, utilizing the homomorphism token and distributed coded- data. The proposed design further support secure and efficient dynamic operation on outsource data including block modification, deletion and append. Data security has gained greater significance than ever before. This paper attempts to deal with the problem of data leakage and its detection , a rising phenomenon especially in big organizations.

We are all too familiar with stories of data loss from laptop theft, hacker break-ins, and backup tapes being lost or stolen, and so on. It is possible only by Data Leakers, who usually are authorized persons.

The identification of the Data Leaker is very big task. In the past methods such as Watermarking and fake data addition were used to identify leakers. But in such methods reliability, consistency is very low and largely incompetent in the present age.

Thus a sophisticated system to confront such activities with reasonable competence is highly essential. This paper proposes a highly effective system employing various techniques to cleverly detect data leakage and the leakers.

Though this type of storage have many benefits, such a service is also suffers with the problems like physical possession of their outsourced data , which causes new security risks toward the correctness of the data in cloud. In order to remove this new problem and to obtain a secure and dependable cloud storage service , this paper proposes a flexible distributed storage integrity auditing mechanism, which utilises the homomorphism token and distributed erasure-coded data.

The proposed method ensures users to audit the cloud storage with very lightweight communication and computation cost. This type of auditing mechanism ensures strong cloud storage correctness guarantee and also achieves fast data error localization. If the cloud data is dynamic, the proposed method further supports secure and efficient dynamic operations on outsourced data , including block modification, deletion, and append. The analysis shows the proposed scheme is efficient and resilient against byzantine failure, malicious data modification attack, and server colluding attacks.

The ever cheaper and more powerful processors, together with the software as a service Saas computing architecture, are transforming data centers into pools of computing service on a huge scale. The increasing network bandwidth and reliable yet flexible network connections make it even possible that users can now subscribe high quality services from data and software that reside solely on remote data centers.

Cloud computing is the delivery of computing as a service rather than a product, shared resources such as software, hardware and infrastructure are provided to computers and other devices as a metered service through a network. Cloud computing provides computation, software, storage resources and data access, in which cloud users are without knowing to the location and other details of the computing infrastructure.

In cloud research study reveals that there is a problem in security management and privacy services. To overcome this privacy problem there is a new technique known as multifactor authentication, and trusted third party auditing. For avoiding security issues there is a technique as erasure correcting coded data. That is error detection and correction identification of misbehaving server. In this paper we propose secure dependable storage with the help of key server concept.

This will be drastically reduced the communication and storage overhead as compared to the traditional replication-based file distribution techniques. Intercloud Promising Second Layer in Cloud Computing Stack and Dependable Storage Layer occupies the most part of the cloud computing systems to date that means updating, and consists of distributed protocols designed to make use of run in a single administrative domain, under the control of one service provider e.

Distributed protocols used in this context are intended mostly in areas be like wide-area systems, with scalability offering very large number of clients to share of data and most important goals be high availability[18]. Dependability and security for an single-domain cloud , mainly towards integrity, confidentiality, and isolation for data and computations in a multi-tenant model are receiving increased attention e.

Devising a dependable service relying on single cloud provider named as P has its inherent limitations, while all trusting system reduces to trusting of provider P. The service offered by cloud provider P as well, that works immediately only by defeats the benefits of encryption.

Encryption creates keys to be managed, but if only a client can rely on offerings of provider P, it would immediately store encryption keys. Storing the encryption keys at fault-prone clients to be in unacceptable solution, after storing there will be losing of key, which implies losing of encrypted data.

In these part of networking cloud provider P remains only at single point of failure, most in the case of cloud providers P services and systems. Moreover, network connections are particularly locate when the client resides outside North America and Western Europe, while having of high- bandwidth connections but it may not be readily. Providers such as Google, Microsoft, and Amazon have the existing infrastructure to deflect and survive cyber-attacks, but not every cloud has such capability.

If a cyber-criminal can identify the provider whose vulnerabilities are the easiest to exploit, then this entity becomes a highly visible target. If not all cloud providers supply adequate security measures, then these clouds will become high-priority targets for cyber criminals.

It is not easy to enforce all the security measures that meet the security needs of all the users, because different users may have different security demands based upon their objective of using the cloud services.

Managing the Storage Service in the Cloud Computing applications to level beyond their limited servers[3]. StaaS allows users to store their data at remote disks and access them anytime from any place.

In cloud environment i. This leads to information loss or breaches at both environments. This attack is precious and it is well known to most of the organization [5]. There is variety of attack patterns performed by insiders because of sophistication about internal structure of an organization data storage structure.

Most organizations ignoring this attack because it is very hard to defend and impossible to find the complete solution for this attack. This attack ensures great risk in terms of data breaches and loss confidentiality at both organization and cloud level [6]. Cloud storage systems are likely to meet several meticulous requirements for maintaining users data and information, including high reliability ,availability, performance, duplication and data consistency , but because of the conflicting nature of these requirements and difficult to implements all of them together.

It provides flexible and scalable resources for easy access and development through portable devices. In cloud computing the entire data depends upon the networked resources, which can be shared over the internet. Role of Biometric Cryptography in Cloud Computing In order to archive security in cloud computing system, some technologies have been used to build the security mechanism for cloud computing.

The cloud computing security can be provided as security services. Security messages and secured messages can be transported.

Even the mechanism for the cloud computing security has many merits now, but there are still some disadvantages. For example, there is short of the mechanism on the hardware to support the trusted computing in cloud computing system. The creation and protection of certificates are not secure enough for cloud computing environments. The performance is reduced apparently when the cryptographic computing are processed.

There are also lack of some mechanisms to register and classify the participants carefully, such as the tracing and monitoring for them [4]. All business rules, contracts and agreements are communicated through this layer directly. All the required and available services are stored, col- laborated and tested on this stage.

It consists of Published Services as well as other artifacts. Different kinds of reg- istries like Business Flow model Registry, in which modeled business rules and commitments are maintained and updated. Test Case Reg- istry includes the set of service -testing tools, to make Service liable to use and delivered.

Collaboration Model Registry isthe most important type, because it decides the actual Service from set of available services from differ- ent cloud arrangements.

All the information is published into registry which is indexed according to Ontology. In Service Oriented cloud computing architecture Services are published as deployable packages, which can be eas- ily redeployed and replicated on different clouds. Appli- cation developers can select the cloud on which they want to run their Services. Registered Service Users, can.

Food industry: The applications of Big Data on the food industry is quite impactful to track the quality of products, recommending food items to customers or to ameliorate marketing strategies.

IBM is currently providing techniques to the Cheesecake Factory to decompose structured data for example — find out location of restaurants, and unstructured data such as adding flavors to taste better and to communicate critical supply chain data faster in order to improve customer satisfaction. There are also technologies such as the Food Genius [28] which implements big data to speculate specific recommendations to foodies.

Besides, the giant companies such as — the Starbucks, Dominos and Subway take utilize Big Data analytics in order to track individual customer preferences as well as offer customers with customized recommendations to improve more satisfaction.

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AbstractCloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications withoutthe burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing usersphysical possession of their outsourced data, which inevitably poses new security risks towards the correctness of the data in cloud. In order to address this new problem and further achieve a secure and dependable cloud storage service, we propose in this papera flexible distributed storage integrity auditing mechanism, utilizing the homomorphic token and distributed erasure-coded data. Theproposed design allows users to audit the cloud storage with very lightweight communication and computation cost. The auditing resultnot only ensures strong cloud storage correctness guarantee, but also simultaneously achieves fast data error localization, i. Considering the cloud data are dynamic in nature, the proposed design further supports secureand efficient dynamic operations on outsourced data, including block modification, deletion, and append. Analysis shows the proposedscheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks.

Distributed storage empowers clients to remotely store their information and appreciate the on-request astounding cloud applications without the weight of neighborhood equipment and programming administration. Keeping in mind the end goal to address this new issue and further, accomplish a protected and tried and true distributed storage benefit, we propose in this paper an adaptable circulated stockpiling honesty examining component, using the homomorphism token and disseminated deletion coded information. The proposed configuration enables clients to review the distributed storage with exceptionally lightweight correspondence and calculation cost. The evaluating result guarantees solid distributed storage rightness ensure, as well as all the while accomplishes quick information blunder restriction, i. Considering the cloud information are dynamic in nature, the proposed configuration additionally bolsters secure and effective dynamic operations on outsourced information, including square alteration, cancellation, and affix.

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Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Toward Secure and Dependable Storage Services in Cloud Computing Abstract: Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management.

Towards Secure and Dependable Storage Services in Cloud Computing (1)

Many companies today are expanding into cloudcomputing as a way to reduce the cost and complexityof delivering traditional IT services. Cloud is not a particular product, but a way of delivering ITservicesthat are consumable on demand, elastic to scale up anddown as needed, and follow a pay-for- usage model.

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