عنوان فارسی مقاله: تهدید های و حملات تلفن همراه
عنوان انگلیسی مقاله:
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Data Loss Protection
Data loss protection (DLP) is a category of tools that protects data as it leaves the network (sometimes referred to as “Content-Aware” DLP). Includes the following functionality:
Enables the dynamic application of policy based on the classification of content
Can be applied to data in rest (storage), data in use (during an operation), and data in transit (across a network)
Can dynamically apply policies , such as log, report, classify, relocate, tag , or encrypt protections.
Helps organizations develop, educate and enforce better business practices concerning the handling and transmission of sensitive data.
Designed to:
Protect customer information, HIPPA privacy, and intellectual property
Stop data leaks to media
Provide device and port control when protected data is passed to laptops, USB drives, CDs, etc.
Provide endpoint auditing and discovery – where’s my data?
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What is Cloud Data Management?
Data management applications are potential candidates for deployment in the cloud
industry: enterprise database system have significant up-front cost that includes both hardware and software costs
academia: manage, process and share mass-produced data in the cloud
Many “Cloud Killer Apps” are in fact data-intensive
Batch Processing as with map/reduce
Online Transaction Processing (OLTP) as in automated business applications
Online Analytical Processing (OLAP) as in data mining or machine learning
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CDMI: Cloud Data Storage & Management | Informatica UShttps://www.informatica.com/products/cloud.../cloud-data-management.htmlLearn more about Informatica's cloud data management interface (CDMI) which stores, cleans & secures your data for a comprehensive view.Hybrid Cloud Data Management | Informatica UShttps://www.informatica.com/.../cloud...data-management/hybrid-cloud-data-manage...Managing data in public cloud, SaaS, and on-premises systems, Informatica's Hybrid Cloud Solutions accelerates the benefits of public cloud economies, scale, ...Data management in cloud environments: NoSQL and NewSQL data ...https://journalofcloudcomputing.springeropen.com/articles/10.1186/2192-113X-2-22by K Grolinger - 2013 - Cited by 136 - Related articlesDec 18, 2013 - This work focuses on the storage aspect of cloud computing, specifically on data management in cloud environments. Traditional relational ...[PDF]Data Management in the Cloud:web.cs.wpi.edu/~cs561/s12/Lectures/presentations/DataManagementCloud.pdfVision of Cloud Compulng. • Managing Data in The Cloud. • Cloud Characterislcs. • Data Management Applicalons. • Transaclonal. • Analylcal. • Analyzing Data ...Data Management in the Cloud Era Infographic - Commvaulthttps://www.commvault.com/resource-library/.../data-management-in-the-cloud-era.p...Based on a recent Datamation survey of 223 IT strategic thinkers, this infographic examines what these decision makers had to say about managing data with a ...AdCloud Data Access Issues? - Changing the traditional modelAdwww.clearskydata.com/Edge-ManifestoLearn about data center resources on the edge of the networkRich Media · Digital Business · Centralized Data · Latency Sensitivity · Distributed Data CentersHighlights: Placement Of Content, Compute And Data, Edge Of The Network…Searches related to Data Management in the Clouddata management in the cloud challenges and opportunitiescloud data management pdfdatabase management in cloud computingcloud data management companiescloud data management rubrikdata management in cloud computing pptcloud data management courseoracle customer data management cloud
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Data ManagementWhy is Data Management Important?
Expands value of data from original purpose
Allows discovery and integration of data
Avoids duplication of effort
Increases visibility in scientific/public arena
Allows new science collaborations
Allows rapid response to unexpected events
Assists in historical & long-term analyses
Avoids costs associated with poor data management
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What is Data Management? - NGDATAhttps://www.ngdata.com/what-is-data-management/Jan 5, 2017 - A Definition of Data Management. Data management is an administrative process that includes acquiring, validating, storing, protecting, and ...What is data management? definition and meaning ...www.businessdictionary.com/definition/data-management.htmlDefinition of data management: Administrative process by which the required data is acquired, validated, stored, protected, and processed, and by which its ...Data Management Inc.https://www.data-management.com/Data Management is an industry-leading Database Maintenance and Direct Mail Data Processing service provider. We offer state-of-the-art computer ...What is Data Management? - Definition from Techopediahttps://www.techopedia.com/definition/5422/data-managementData Management Definition - Data management refers to an organization's management of information and data for secure and structured access and...Data management | Helping MIT faculty and researchers manage ...libraries.mit.edu/data-management/Libraries home Data management ... We help MIT faculty and researchers manage, store, and share data they ... Send email to: data-management@mit.edu.Searches related to Data Managementwhat is data management systemdata management coursedata management jobsdata management processdata management best practicesdata management principlesdata management pdfdata management tools
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Swarm Intelligence (SI)
Algorithms inspired by the collective behavior of social insect colonies and other animal societies are called swarm intelligence algorithms .
The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems [2].
SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment.
Natural examples:
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[PDF]Review ArticleA Comprehensive Survey on Particle Swarm ...mat.uab.cat/~alseda/MasterOpt/PSO-ZWJ.pdfby Y Zhang - 2015 - Cited by 66 - Related articlesParticle swarm optimization (PSO) is a heuristic global optimization method, ... It is now one of the most commonly used optimization techniques. ... perceives its environment and takes action that maximizes ..... of PSO variant is called chaotic PSO (CPSO). ..... novel algorithm of PSO associated with binary decision vari-.[PDF]A review of particle swarm optimization. Part II: hybridisation ...sci2s.ugr.es/sites/.../A07%20-%20A-review-of-particle-swarm-optimization-PartII.pdfby A Banks - 2008 - Cited by 371 - Related articlesJul 17, 2007 - Abstract Particle Swarm Optimization (PSO), in its present form, has been in existence ... algorithms, many of which involve evolutionary techniques. Section 4 ..... variant that also included a level of mutation. ..... binary PSO (BPSO) was then applied to locate the optimal position for the converters. The.[PDF]Particle Swarm Methodswww.cs.uoi.gr/~kostasp/papers/B05.pdfby KE Parsopoulos - 2015Performance-Enhancing Techniques . .... Abstract. Particle swarm optimization has gained increasing popularity in the past 15 years. Its effectiveness ... the development and application of particle swarm optimization and its variants. Keywords ...... The first Binary PSO (BPSO) variant was developed in 1997 [61]. Instead of ...Simulated Evolution and Learning: 8th International Conference, SEAL ...https://books.google.com/books?isbn=3642172989Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti - 2010 - ComputersIn this paper, we suggest an optimization methodology based on the PSO ... with the Binary PSO (BPSO) and the Preemptive / Lexico Goal Programming proposed by [3]. ... Section 3 provides an overview of swarm optimization techniques which ... Swarm Optimization (PSO) and its neighborhood topological variants (Star ...Searches related to Swarm Optimization (PSO) Technique and its Variant Binary PSO (BPSO)particle swarm optimization algorithmparticle swarm optimization exampleparticle swarm optimization tutorialparticle swarm optimization matlabparticle swarm optimization matlab codeparticle swarm optimization pdfparticle swarm optimization applicationsparticle swarm optimization ppt