887 resultados para cloud computing, accountability,SLA ,responsibility,security,privacy,trust


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Winner of best paper award.

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While the nascent Cloud Computing paradigm supported by virtualization has the upward new notion of edges, it lacks proper security and trust mechanisms. Edges are like on demand scalability and infinite resource provisioning as per the `pay-as-you-go' manner in favour of a single information owner (abbreviated as INO from now onwards) to multiple corporate INOs. While outsourcing information to a cloud storage controlled by a cloud service provider (abbreviated as CSP from now onwards) relives an information owner of tackling instantaneous oversight and management needs, a significant issue of retaining the control of that information to the information owner still needs to be solved. This paper perspicaciously delves into the facts of the Cloud Computing security issues and aims to explore and establish a secure channel for the INO to communicate with the CSP while maintaining trust and confidentiality. The objective of the paper is served by analyzing different protocols and proposing the one in commensurate with the requirement of the security property like information or data confidentiality along the line of security in Cloud Computing Environment (CCE). To the best of our knowledge, we are the first to derive a secure protocol by successively eliminating the dangling pitfalls that remain dormant and thereby hamper confidentiality and integrity of information that is worth exchanging between the INO and the CSP. Besides, conceptually, our derived protocol is compared with the SSL from the perspectives of work flow related activities along the line of secure trusted path for information confidentiality.

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Trust problem in Software as a Service Cloud Computing is a broad range of a Data Owner’s concerns about the data in the Cloud. The Data Owner’s concerns about the data arise from the way the data is handled in locations and machines that are unknown to the Data Owner.

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Questa tesi si prefigge l’obiettivo di analizzare alcuni aspetti critici della sicurezza in ambito cloud. In particolare, i problemi legati alla privacy, dai termini di utilizzo alla sicurezza dei dati personali più o meno sensibili. L’aumento esponenziale di dati memorizzati nei sistemi di cloud storage (es. Dropbox, Amazon S3) pone il problema della sensibilità dei dati su un piano tutt'altro che banale, dovuto anche a non ben chiare politiche di utilizzo dei dati, sia in termini di cessione degli stessi a società di terze parti, sia per quanto riguarda le responsabilità legali. Questa tesi cerca di approfondire ed esaminare le mancanze più preoccupanti degli stessi. Oltre ad analizzare le principali criticità e i punti deboli dei servizi cloud, l’obiettivo di questo lavoro sarà quello di fare chiarezza sui passi e le infrastrutture che alcune aziende (es. Amazon) hanno implementato per avvicinarsi all’idea di 'safeness' nel cloud. Infine, l’ultimo obiettivo posto sarà l’individuazione di criteri per la valutazione/misura del grado di fiducia che l’utente può porre in questo contesto, distinguendo diversi criteri per classi di utenti. La tesi è strutturata in 4 capitoli: nel primo sarà effettuata una tassonomia dei problemi presenti nei sistemi cloud. Verranno presentati anche alcuni avvenimenti della storia recente, in cui queste problematiche sono affiorate. Nel secondo capitolo saranno trattate le strategie di 'safeness' adottate da alcune aziende, in ambito cloud. Inoltre, saranno presentate alcune possibili soluzioni, dal punto di vista architetturale. Si vedrà come il ruolo dell'utente sarà di estrema importanza. Il terzo capitolo sarà incentrato sulla ricerca di strumenti e metodi di valutazione che un utente, o gruppo di utenti, può utilizzare nei confronti di questi sistemi. Infine, il quarto capitolo conterrà alcune considerazioni conlusive sul lavoro svolto e sui possibili sviluppi di questa tesi.

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The development of the Internet has made it possible to transfer data ‘around the globe at the click of a mouse’. Especially fresh business models such as cloud computing, the newest driver to illustrate the speed and breadth of the online environment, allow this data to be processed across national borders on a routine basis. A number of factors cause the Internet to blur the lines between public and private space: Firstly, globalization and the outsourcing of economic actors entrain an ever-growing exchange of personal data. Secondly, the security pressure in the name of the legitimate fight against terrorism opens the access to a significant amount of data for an increasing number of public authorities.And finally,the tools of the digital society accompany everyone at each stage of life by leaving permanent individual and borderless traces in both space and time. Therefore, calls from both the public and private sectors for an international legal framework for privacy and data protection have become louder. Companies such as Google and Facebook have also come under continuous pressure from governments and citizens to reform the use of data. Thus, Google was not alone in calling for the creation of ‘global privacystandards’. Efforts are underway to review established privacy foundation documents. There are similar efforts to look at standards in global approaches to privacy and data protection. The last remarkable steps were the Montreux Declaration, in which the privacycommissioners appealed to the United Nations ‘to prepare a binding legal instrument which clearly sets out in detail the rights to data protection and privacy as enforceable human rights’. This appeal was repeated in 2008 at the 30thinternational conference held in Strasbourg, at the 31stconference 2009 in Madrid and in 2010 at the 32ndconference in Jerusalem. In a globalized world, free data flow has become an everyday need. Thus, the aim of global harmonization should be that it doesn’t make any difference for data users or data subjects whether data processing takes place in one or in several countries. Concern has been expressed that data users might seek to avoid privacy controls by moving their operations to countries which have lower standards in their privacy laws or no such laws at all. To control that risk, some countries have implemented special controls into their domestic law. Again, such controls may interfere with the need for free international data flow. A formula has to be found to make sure that privacy at the international level does not prejudice this principle.

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The main theme of this thesis is to allow the users of cloud services to outsource their data without the need to trust the cloud provider. The method is based on combining existing proof-of-storage schemes with distance-bounding protocols. Specifically, cloud customers will be able to verify the confidentiality, integrity, availability, fairness (or mutual non-repudiation), data freshness, geographic assurance and replication of their stored data directly, without having to rely on the word of the cloud provider.

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Enterprises, both public and private, have rapidly commenced using the benefits of enterprise resource planning (ERP) combined with business analytics and “open data sets” which are often outside the control of the enterprise to gain further efficiencies, build new service operations and increase business activity. In many cases, these business activities are based around relevant software systems hosted in a “cloud computing” environment. “Garbage in, garbage out”, or “GIGO”, is a term long used to describe problems in unqualified dependency on information systems, dating from the 1960s. However, a more pertinent variation arose sometime later, namely “garbage in, gospel out” signifying that with large scale information systems, such as ERP and usage of open datasets in a cloud environment, the ability to verify the authenticity of those data sets used may be almost impossible, resulting in dependence upon questionable results. Illicit data set “impersonation” becomes a reality. At the same time the ability to audit such results may be an important requirement, particularly in the public sector. This paper discusses the need for enhancement of identity, reliability, authenticity and audit services, including naming and addressing services, in this emerging environment and analyses some current technologies that are offered and which may be appropriate. However, severe limitations to addressing these requirements have been identified and the paper proposes further research work in the area.

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Establishing trust for resource sharing and collaboration has become an important issue in distributed computing environment. In this paper, we investigate the problem of establishing trust in hybrid cloud computing environments. As the scope of federated cloud computing enlarges to ubiquitous and pervasive computing, there will be a need to assess and maintain the trustworthiness of the cloud computing entities. We present a fully distributed framework that enable trust-based cloud customer and cloud service provider interactions. The framework aids a service consumer in assigning an appropriate weight to the feedback of different raters regarding a prospective service provider. Based on the framework, we developed a mechanism for controlling falsified feedback ratings from iteratively exerting trust level contamination due to falsified feedback ratings. The experimental analysis shows that the proposed framework successfully dilutes the effects of falsified feedback ratings, thereby facilitating accurate and fair assessment of the service reputations.

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While cloud computing (CC) is a scalable model of shared infrastructure and on-demand computing, it lacks a transparent trust and security mechanism. A data owner (DO) loses control over the data outsourced to a machine in the cloud controlled and operated by a cloud service provider (CSP). This machine is at a location unknown to a data owner. This loss of control over data is further intensified with the lack of managing users' access to the data from practical cloud computing perspectives. In this paper, we introduce a new mechanism of ensuring trust and security in Software as a Service (SaaS) CC. Trust Ticket, with the supporting protocols, is our mechanism that helps a data owner in establishing a link between a CSP and a registered user. In our mechanism, a user first gets registered with a DO before receiving a Trust Ticket and a secret key from that DO. Each Trust Ticket is unique and encrypted. On completing the registration of each user, the DO apprises the CSP of the Trust Ticket. Trust Ticket and secret key are respectively for the registered user's getting accepted to the CSP and having a view of the data owner's data upon a successful verification by the CSP. We have done our experiment in Java network programming by creating an emulated cloud computing framework under the VMware ESXi 4.1 hyper visor based platform. Using the framework, we have evaluated our algorithmic protocol for Trust Ticket. We have also compared our work with prior work. Overall performance of our work is better. We argue that our proposed algorithmic protocol for Trust Ticket deployment establishes a data owner's trust. This trust is established through a data owner's control over data and a registered user, because a registered user is linked with a CSP by a data owner through Trust Ticket.