Search results for " network"

showing 10 items of 6428 documents

Computation of Unstable Binodals Not Requiring Concentration Derivatives of the Gibbs Energy

1998

The equilibrium of three liquid phases in a binary mixture implies the existence of tie lines and binodals that are different from the normal experimentally observable ones. First of all, there are the metastable extensions of the binodal built up by S/S tie lines. These S/S tie lines fulfill the equilibrium condition of the minimum of the Gibbs energy of the entire two-phase system. Both coexisting phases are located within the meta(stable) region. There are two additional types of tie lines:  U/U (maximum of the Gibbs energy; both end points within the unstable area) and U/S tie lines (saddle point; one end point within the (meta)stable, the other within the unstable region). All types of…

BinodalChemistryComponent (thermodynamics)Binary numberThermodynamicsObservableComputer Science::Social and Information NetworksSurfaces Coatings and FilmsGibbs free energysymbols.namesakeSaddle pointMetastabilityMaterials ChemistrysymbolsPhysical and Theoretical ChemistryTie lineThe Journal of Physical Chemistry B
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Bio-inspired security analysis for IoT scenarios

2020

Computer security has recently become more and more important as the world economy dependency from data has kept growing. The complexity of the systems that need to be kept secure calls for new models capable of abstracting the interdependencies among heterogeneous components that cooperate at providing the desired service. A promising approach is attack graph analysis, however, the manual analysis of attack graphs is tedious and error prone. In this paper we propose to apply the metabolic network model to attack graph analysis, using three interacting bio-inspired algorithms: topological analysis, flux balance analysis, and extreme pathway analysis. A developed framework for graph building…

Bio-inspired techniqueService (systems architecture)Security analysisIoTDependency (UML)Computer scienceNetwork securityDistributed computingmedia_common.quotation_subject0211 other engineering and technologies02 engineering and technologyMetabolic networksAttack graphs; Bio-inspired algorithms; Bio-inspired techniques; IoT; Metabolic networks; Network security; Security analysis; System securityAttack graph03 medical and health sciences0302 clinical medicineUse casemedia_common021110 strategic defence & security studiesSecurity analysisbusiness.industryMetabolic network030208 emergency & critical care medicineBio-inspired techniquesNetwork securitySystem securityFlux balance analysisInterdependenceHardware and ArchitectureBio-inspired algorithmGraph (abstract data type)businessSoftwareAttack graphsBio-inspired algorithms
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A bio-inspired approach to attack graphs analysis

2018

Computer security has recently become more and more important as the world economy dependency from data has kept growing. The complexity of the systems that need to be kept secure calls for new models capable of abstracting the interdependencies among heterogeneous components that cooperate at providing the desired service. A promising approach is attack graph analysis, however the manual analysis of attack graphs is tedious and error prone. In this paper we propose to apply the metabolic network model to attack graphs analysis, using three interacting bio-inspired algorithms: topological analysis, flux balance analysis, and extreme pathway analysis. A developed framework for graph building…

Bio-inspired techniqueTheoretical computer scienceComputer scienceNetwork securitybusiness.industrymedia_common.quotation_subjectComputer Science (all)Bio-inspired techniquesNetwork securityAttack graphPathway analysisFlux balance analysisTheoretical Computer ScienceInterdependenceAttack graphMetabolic network modelAttack graphs; Bio-inspired techniques; Network securityGraph (abstract data type)businessAttack graphsmedia_common
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Scientometric portrait of biochemist Santiago Grisolia: publication productivity, collaboration patterns, and citation analysis

2014

Santiago Grisolía has made numerous scientific discoveries and contributions of great relevance to the advancement of biochemistry and molecular biology, particularly in the field of enzymology in the metabolism of nitrogen related to the urea cycle and the impoverishment of pyrimidines. This article analyses, by means of bibliometrics indicators and social network analysis, his professional career, comparing the results obtained with the patterns of scientific activity of other distinguished researchers. The main findings of the study carried out are as follows: the evolution of his scientific productivity shows an initial period in which the growth is slow or moderate, followed by a fast …

BiochemistPortraitCitation analysisSociologyLibrary and Information SciencesSocial scienceBibliometricsCitationSocial network analysisProductivityScientific productivityEducationResearch Evaluation
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Singling out functional similarities in graph databases

2008

Bioinformatics network analysis
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A technique to search functional similarities in PPI networks

2009

We describe a method to search for similarities across protein-protein interaction networks of different organisms. The technique core consists in computing a maximum weight matching of bipartite graphs resulting from comparing the neighbourhoods of proteins belonging to different networks. Both quantitative and reliability information are exploited. We tested the method on the networks of S. cerevisiae, D. melanogaster and C. elegans. The experiments showed that the technique is able to detect functional orthologs when the sole sequence similarity does not prove itself sufficient. They also demonstrated the capability of our approach in discovering common biological processes involving unc…

Bioinformatics network analysis
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Bi-GRAPPIN: Bipartite graph based protein-protein interaction networks similarity search

2007

Bioinformatics network analysis
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Discovering meaningful protein-protein interaction modules by a co-clustering based approach

2008

Bioinformatics network analysis
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Asymmetric Global Alignment of Protein-Protein Interaction Graph Databases

2010

Bioinformatics network analysis
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Discovering Protein Complexes in Protein Interaction Networks

2009

Bioinformatics network analysis Clustering
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