Improved multilevel security with latent semantic indexing

Thorleuchter, Dirk; Poel, Dirk Van den

doi:10.1016/j.eswa.2012.06.002

Cited by 20 publications

(11 citation statements)

References 81 publications

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“…This asset (or resource) attribute (acceptable risk level) gives details about the security requirements for a resource according to a protection and classification policy for resources implemented by the organization who owns the resource. In multi-level security systems (MLS) [39] the risk level allocated to a resource depends on its properties regarding: confidentiality, sensibility, availability, integrity or importance. In addition, a common risk level may indicate information related to the business impact, like financial and reputation damage for the organization if an unauthorized disclosure of the resource is produced.…”

Section: Initialize Acceptable Risk Levelsmentioning

confidence: 99%

Dynamic counter-measures for risk-based access control systems: An evolutive approach

Díaz-López

Dólera-Tormo

Mármol³

et al. 2016

Future Generation Computer Systems

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Section: Initialize Acceptable Risk Levelsmentioning

confidence: 99%

Dynamic counter-measures for risk-based access control systems: An evolutive approach

Díaz-López

Dólera-Tormo

Mármol³

et al. 2016

Future Generation Computer Systems

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“…Besides the query-search usage, the LSI can be applied for different purposes. Some researches like [16], [17], and [18] utilize it to approach different problems. Even if [19] research aims at a different objective in comparison to ours, both apply the LSI in a quite similar manner, classifying papers according to title and abstract.…”

Section: Related Workmentioning

confidence: 99%

Using Latent Semantic Indexing as a metric for evaluating research potentialities through Innovation Public Policies

Silva¹,

Carvalho

2021

Acad. Journal on Comp., Eng. and Appl. Math.

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Public innovation policies usually define strategies for Public research organizations, such as universities, in order to guide the next research projects of such organizations. Sometimes, it is difficult to know the actual state of an organization when a new policy is released by the government. The objective of this paper is to present the application of Latent Semantic Analysis, a technique of information retrieval, in order to create an index and automatically classify research projects, using text fields like title and abstract, to areas and subareas defined by related terms. It is also proposed a case study of about 200 projects from five graduate programs of the Universidade Federal do Tocantins. The proposed solution was capable of satisfactorily classify each project to the areas and subareas of a recent policy from the Science, Technology, Innovations, and Communications Ministry. In this way, the university could have some decision-making information, and the results could sustain for which internal policies could be implemented to maximize its actuation faced to the national innovation policy.

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“…A single value decomposition (SVD) of this matrix results in three different matrices. Each of these matrices provides different statistical information about important words, topics and sentences (Zhang et al, 2011;Thorleuchter and Van den Poel, 2013;Thorleuchter and Van den Poel, 2012).…”

Section: Existing Techniquesmentioning

confidence: 99%

An approach for discovering keywords from Spanish tweets using Wikipedia

Ayala

Roldán

Ruiz

et al. 2015

ADCAIJ

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Most approaches to keywords discovery when analyzing microblogging messages (among them those from Twitter) are based on statistical and lexical information about the words that compose the text. The lack of context in the short messages can be problematic due to the low co-occurrence of words. In this paper, we present a new approach for keywords discovering from Spanish tweets based on the addition of context information using Wikipedia as a knowledge base. We present four different ways to use Wikipedia and two ways to rank the new keywords. We have tested these strategies using more than 60000 Spanish tweets, measuring performance and analyzing particularities of each strategy.

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Improved multilevel security with latent semantic indexing

Cited by 20 publications

References 81 publications

Dynamic counter-measures for risk-based access control systems: An evolutive approach

Dynamic counter-measures for risk-based access control systems: An evolutive approach

Using Latent Semantic Indexing as a metric for evaluating research potentialities through Innovation Public Policies

An approach for discovering keywords from Spanish tweets using Wikipedia

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