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Your search keyword '"Verma, Dinesh"' showing total 167 results
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167 results on '"Verma, Dinesh"'

12. ProFact: A Provenance-Based Analytics Framework for Access Control Policies.

Author

Abu Jabal, Amani, Davari, Maryam, Bertino, Elisa, Makaya, Christian, Calo, Seraphin, Verma, Dinesh, and Williams, Christopher

Abstract

Policy-based access control systems are crucial for secure information sharing in collaborative applications. However, policy management needs to be flexible in order to adapt to different environments and be able to support policy evolution. However, when dealing with large sets of evolving policies, it is critical that policies meet certain policy quality requirements. Policy sets must be complete, free of inconsistencies, and relevant. In this paper, we propose a framework to analyze policies to determine whether they meet such requirements. Our framework uses provenance techniques to collect comprehensive data about actions which were either triggered due to a network context or a user (i.e., a human or a device) action. The framework includes two approaches for policy analysis: structure-based and classification-based. For the structure-based approach, we designed tree structures to organize and assess the policy set efficiently. For the classification-based approach, we employed the classification techniques to learn the characteristics of policies and predict their quality. In addition, the framework includes the policy evolution module which mainly consists of recommendation and re-evaluation services for policy changes which both aim at fulfilling the policy quality requirements. The analysis framework has been implemented and experimental results from the prototype are reported. [ABSTRACT FROM AUTHOR]

Published
2021
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15. Generative Policies for Coalition Systems - A Symbolic Learning Framework

Author

Bertino, Elisa, primary, White, Graham, additional, Lobo, Jorge, additional, Ingham, John, additional, Cirincione, Gregory H., additional, Russo, Alessandra, additional, Law, Mark, additional, Calo, Seraphin, additional, Manotas, Irene, additional, Verma, Dinesh, additional, Jabal, Amani Abu, additional, Cunnington, Daniel, additional, and de Mel, Geeth, additional

Published
2019
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19. Prediction of Software Effort in the Early Stage of Software Development: A Hybrid Model.

Author

Rai, Prerana, Kumar, Shishir, and Verma, Dinesh Kumar

Subjects
COMPUTER software development, COMPUTER software, FORECASTING, PROJECT managers
Abstract

The key challenge that project managers face during software development is the accurate prediction of the software effort. Improper prediction leads either to overestimation or underestimation of the software effort, which can have disastrous consequences for the stakeholders. This article attempts to design a model that gives an accurate prediction of effort in the initial phase of the software development lifecycle. The proposed model uses multilayer perceptron (MLP) and the generalized linear model (GLM) with the ensemble technique for the learning purpose. The model is trained and validated using the ISBSG dataset. The proposed model is compared for performance with two baseline models: MLP and GLM. The results show that the proposed model outperforms most of the baseline models against different performance metrics. [ABSTRACT FROM AUTHOR]

Published
2021
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