TUX-TMS: Thapar University Extensible-Trust Management System

Computing Research Repository, 2009

With increasing the applications of grid system, the risk in security field is enhancing too. Recently Trust management system has been recognized as a noticeable approach in enhancing of security in grid systems. In this article due to improve the grid security a new trust management system with two levels is proposed. The benefits of this platform are adding new domain in grid system, selecting one service provider which has closest adaption with user requests and using from domains security attribute as an important factor in computing the trust value.

Proceedings International Conference on Parallel Processing, 2002

Grid computing systems that have been the focus of much research activities in recent years provide a virtual framework for controlled sharing of resources across institutional boundaries. Security is one major concern in any system that enables remote execution. Several techniques can be used for providing security in Grid systems including sandboxing, encryption, and other access control and authentication mechanisms. The additional overhead caused by these mechanisms may negate the performance advantages gained by Grid computing. Hence, we contend that it is essential for the scheduler to consider the security implications while performing resource allocations. In this paper, we present a trust model for Grid systems and show how the model can be used to incorporate the security implications into scheduling algorithms. Three scheduling heuristics that can be used in a Grid system are modified to incorporate the trust notion and simulations are performed to evaluate the performance.

A grid is a framework providing services to access and manage distributed hardware and software resources. A thorough authentication is required before any requested access or operation is allowed on any resource of the grid. In particular, much risk is involved when the grid is used for e-commerce where it is necessary to share resources with unknown parties. It is difficult for a resource user on the grid to identify the quality of the resource providers. Trust is one mechanism with which one can identify the quality of the resource provider. Various models are proposed in the literature on the use of trust mechanisms in grid. This paper presents a survey on various models proposed recently on trust management in grid computing.

Grid computing allows sharing of services and resources distributed over geographically dispersed, heterogeneous, autonomous administrative domains. As a domain generally has no idea about the trustworthiness of other domains, it may hesitate in accessing shared services and resources provided by other domains. Accessing resources and services from untrusted domains may pose dangerous consequences to the source domain. Trust is an important parameter in achieving faithful domain to domain interaction. Domains must be able to determine the trustworthiness of each other for the access of a particular service. Domains must also provide trust based access to resources and services that they expose in the environment. This paper describes different facets associated with trust issues among different entities in a grid environment and proposes a trust model to establish and manage trust relationships. The trust model provides support to calculate direct as well as recommended trust. Based on this model, a trust based authorization framework is proposed that can be used to provide trust based access to grid services. The goal of the model is to encourage trust based domain to domain interaction and increase the confidence of domains in accessing shared resources provided by other domains. The framework has been implemented in .NET environment with the support of WSE 3.0 toolkit. The framework has been evaluated by implementing a scenario that involves enforcement of different trust policies. The time taken by the enforcement component to evaluate trust policies has been noted. The results obtained from the implementation imply that the approach is workable and can be used to provide trust based access to grid services.

2013

Grid computing, being a gifted way for distributed supercomputing. There are lots of challenges for grid computing, both from technical point of view and from nontechnical point of view and there are quite a few barriers from grid computing being widely accepted by common end users. Grid computing is taken to the next level which aids in the discovery and use of remote resources for computing and storage. The Grids create an illusion of a simple, large and robust self configuring virtual computer consisting of well connected heterogeneous systems sharing various resources. The users don’t need any direct control over the diverse resources of the Grid. A major difficulty for Grid services is how to gain confidence that a distant system is performing in accordance with their norms. Proper resource distribution and deployment cannot be achieved unless trust is established in the Grid. In this paper we have discussed different challenges and barriers for the improvement and usage of gri...

Security is a principal concern in offering an infrastructure for the formation of general-purpose computational grids. A number of grid implementations have been devised to deal with the security concerns by authenticating the users, hosts and their interactions in an appropriate fashion. Resource management systems that are sophisticated and secured are inevitable for the efficient and beneficial deployment of grid computing services. The chief factors that can be problematic in the secured selection of grid resources are the wide range of selection and the high degree of strangeness. Moreover, the lack of a higher degree of confidence relationship is likely to prevent efficient resource allocation and utilisation. In this paper, we present an efficient approach for the secured selection of grid resources, so as to achieve secure execution of the jobs. This approach utilises trust and reputation for securely selecting the grid resources. To start with, the self-protection capability and reputation weightage of all the entities are computed, and based on those values, the trust factor (TF) of all the entities are determined. The reputation weightage of an entity is the measure of both the user's feedback and other entities' feedback. Those entities with higher TF values are selected for the secured execution of jobs. To make the proposed approach more comprehensive, a novel method is employed for evaluating the user's feedback on the basis of the existing feedbacks available regarding the entities. This approach is proved to be scalable for an increased number of user jobs and grid entities. The experimentation portrays that this approach offers desirable efficiency in the secured selection of grid resources.

IEEE 10th International Symposium on Pervasive Systems, Algorithms, and Networks, 2009

The migration of processing of computational jobs from centralized systems to open distributed systems have resulted in many communication channels and transactions. These crucial and confidential jobs span a range of domains and organizations, not all of which can be trusted to the same extent. Inconsistencies in current trust relationships highlight the need for a flexible, general-purpose trust management system. In this paper, we have proposed a Trust Model for establishing and evaluating trust in Grid environments. The proposed Trust model computes reputation and trustworthiness of the transacting domain on the basis of number of past transactions and rated feedback score.

2009

Acknowledged as important factors for business environments operating as virtual organizations (VOs), trust and reputation are receiving attention also in Grids devoted to scientific applications where problems of finding suitable models and architectures for flexible security management of heterogeneous resources arise. Being these resources highly heterogeneous (from individual users to whole organizations or experiment tools and workflows), this paper presents a trust and reputation framework that integrates a number of information sources to produce a comprehensive evaluation of trust and reputation by clustering resources having similar capabilities of successfully executing a specific job. Here, trust and reputation are considered as quality of service (QoS) parameters, and are asserted on the operative context of resources, a concept expressing the resources capability of providing trusted services within collaborative scientific applications. Specifically, the framework exploits the use of distributed brokers that support interaction trust and the creation of VOs from existing scientific organizations. A broker is a distributed software module launched at some node of the Grid that makes use of resources and communicates with other brokers to perform specific reputation services. In turn, each broker contributes to maintain a dynamic and adaptive reputation assessment within the Grid in a collaborative and distributed fashion. The proposed framework is empirically implemented by adopting a SOA approach and results show its effectiveness and its possible integration in a scientific Grid.

2011

For a highly computational resource sharing grid environment, reliable transactions between entities is a major requirement. This is possible when not only do the users of the grid have an appropriate mechanism to select resource providers but the grid users must also pass through proper access control mechanisms placed by the resource providers Traditional Identity based access control methods are not applicable for grids because relationship between users and resource providers are ad hoc and dynamic, no central policy will be applicable. In this paper, users identify reputed resource providers by applying Fuzzy inference system on recommendation taken from its trustworthy acquaintances. The resource providers apply binary logistic regression on factors that influence the decision whether to allow a requesting user to use the grid or not.

Trust Modeling and …, 2010

Grid computing is a paradigm for distributed computation on shared resources. It uses a large-scale, highly decentralized infrastructure, in which a huge number of participants share heterogeneous resources for a given purpose.