Role Mining - Revealing Business Roles for Security Administration using Data Mining Technology Martin Kuhlmann Dalia Shohat SYSTOR Security Solutions GmbH Hermann-Heinrich-Gossen-Strasse 3 D 50858 Cologne [martin.kuhlmann|dalia.shohat] @systorsecurity.com Gerhard Schimpf SMF TEAM IT-Security Consulting Am Waldweg 23 D 75173 Pforzheim Gerhard.Schimpf@smfteam.de ABSTRACT In this paper we describe the work devising a new technique for role-finding to implement Role-Based Security Administration
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1. Distinguish between internal control in a CIS environment and in non-CIS environment. A CIS environment exists when a computer of any type or size is involved in the processing by the entity of financial information of significance to the audit; whether that computer is operated by the entity or by a third party. Many of the control procedures used in manual processing also apply in a CIS environment. Examples of such control procedures include authorization of transaction‚ proper segregation
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DESCRIPTIVE DATA MINING ON FRAUDULENT ONLINE DATING PROFILES Pan‚ Jinjian A.‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052‚ jinjian.pan@cba.com.au Winchester‚ Donald‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052 d.winchester@unsw.edu.au Land‚ Lesley‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052‚ l.land@unsw
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Assignment 2: Logical Design‚ Part 1 Professor Cohen CIS-111 April 15‚ 2013 Advantages of Relational Model The relational model would provide Acme Global with a better understanding of the data needs of their organization. A Relational model offers data independence and efficient access. “The conceptual and external schemas provide independence from physical storage decisions and logical design decisions respectively.” (Ramakrishnan‚ 2007) “The benefits of using the relational model would
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wine quality data set that is the white vinho verde wine samples from the north of Portugalthe from UC Irvine Machine Learning Repository. This white wine data set includes 4898 observations and 12 variables‚ among which quality is the dependent variable‚ and other 11 attributes- fixed acidity‚ volatile acidity‚ citric acid‚ residual sugar‚ chlorides‚ free sulfur dioxide‚ total sulfur dioxide‚ density‚ pH‚ sulphates‚ and alcohol-are independent variables. Technical summary 1. Data pre-process The
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CIS 276 February 5th‚ 2013 1.What is meant by data redundancy? Data redundancy is a situation that occurs within database systems and involves the unintentional creation of duplicated data that is not necessary to the function of the database. 2.What problems are associated with data redundancy? 3.What is an entity? An entity is a person‚ place‚ object‚ event‚ or idea for which you want to store and process data. An attribute‚ field‚ or column is a characteristic or property of an entity.
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underlying attribute values of objects subjected to clustering analysis. In doing so‚ the privacy of individuals’ data would be protected. In this age of data mining‚ we felt that working on data privacy was of paramount importance. We worked in a group of 3 on this and my role specifically was to design and implement the ‘K-means’ algorithm that clusters the data and forms the basis for the data transformation. In addition to my thesis‚ I worked on a solo project which involved developing an inventory
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AGH Journal of Mining and Geoengineering • vol. 36 • No. 3 • 2012 Maria Rosienkiewicz* IDEA OF ADAPTATION VALUE STREAM MAPPING METHOD TO THE CONDITIONS OF THE MINING INDUSTRY 1. Value Stream Mapping method The Value Stream Mapping (VSM) method is one of the tools of the lean manufacturing methodology. It originates in the Toyota Production System (TPS). In Toyota this method was called “Material and Information Flow Mapping”. This technique enables analyzing and designing the flow of
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Why Data Mining can Aid HealthCare? Before talking about that why Data Mining can Aid Healthcare‚ there is a need to define that What is Data Mining‚ Why It is useful and Why it is required. What is Data Mining? Data Mining is the method of searching data from a large database. Data Mining is a technique that is used when we have a large database which is to be searched by applying some methods of searching. It is a technique that is applied when we have a concept of Data Warehouse. Data Warehouse
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Web Mining Data mining is the nontrivial process of identifying valid novel‚ potentially useful‚ and ultimately understandable patterns in data – Fayyad. The most commonly used techniques in data mining is artificial neural networks‚ decision trees‚ genetic algorithm‚ nearest_neighbour method‚ and rule induction. Data mining research has drawn on a number of other fields such as inductive learning‚ machine learning and statistics etc. Machine learning – is the automation of a learning process
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