Smart Anonimization through Constraints: (SAC)

 
9783848440719: Smart Anonimization through Constraints: (SAC)

Owners of online social networks are increasingly sharing potentially sensitive information about users and their relationships with advertisers, application developers, and data-mining researchers. This information is of significance importance in various applications domains such as marketing, psychology, epidemiology and homeland security. In the area of marketing, it is an accepted fact that the analysis of social networks has made commerce more profitable. Privacy on social networks is typically protected by anonymization. It is now accepted that current approaches to anonymization are not sufficient for ensuring privacy when dealing with social networks. Smarter anonymization techniques are based on the modification of the original network by adding fake links. While it is true that this makes the identification of the individuals harder, it is also true that the information of the social network is deteriorated. We introduced the NetDegree global constraint whose purpose is to eliminate non-viable alternatives in the process of finding a good trade-off between protection of data and quality of the information represented by the network.

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I did a bachelor and master degree in computer science and engineering, both at Pontificia Universidad Javeriana, cali/Colombia. Currently I am doing a PhD at Madeira University in Portugal. My main interests are Formal Models for Developing and Verifying Software, Constraint Satisfaction Problems, and Concurrent Constraint Programming.

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Book Description Book Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | (SAC) | Owners of online social networks are increasingly sharing potentially sensitive information about users and their relationships with advertisers, application developers, and data-mining researchers. This information is of significance importance in various applications domains such as marketing, psychology, epidemiology and homeland security. In the area of marketing, it is an accepted fact that the analysis of social networks has made commerce more profitable. Privacy on social networks is typically protected by anonymization. It is now accepted that current approaches to anonymization are not sufficient for ensuring privacy when dealing with social networks. Smarter anonymization techniques are based on the modification of the original network by adding fake links. While it is true that this makes the identification of the individuals harder, it is also true that the information of the social network is deteriorated. We introduced the NetDegree global constraint whose purpose is to eliminate non-viable alternatives in the process of finding a good trade-off between protection of data and quality of the information represented by the network. | Format: Paperback | Language/Sprache: english | 52 pp. Bookseller Inventory # K9783848440719

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Book Description LAP Lambert Academic Publishing Mrz 2012, 2012. Taschenbuch. Book Condition: Neu. Neuware - Owners of online social networks are increasingly sharing potentially sensitive information about users and their relationships with advertisers, application developers, and data-mining researchers. This information is of significance importance in various applications domains such as marketing, psychology, epidemiology and homeland security. In the area of marketing, it is an accepted fact that the analysis of social networks has made commerce more profitable. Privacy on social networks is typically protected by anonymization. It is now accepted that current approaches to anonymization are not sufficient for ensuring privacy when dealing with social networks. Smarter anonymization techniques are based on the modification of the original network by adding fake links. While it is true that this makes the identification of the individuals harder, it is also true that the information of the social network is deteriorated. We introduced the NetDegree global constraint whose purpose is to eliminate non-viable alternatives in the process of finding a good trade-off between protection of data and quality of the information represented by the network. 52 pp. Englisch. Bookseller Inventory # 9783848440719

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Book Description LAP Lambert Academic Publishing Mrz 2012, 2012. Taschenbuch. Book Condition: Neu. Neuware - Owners of online social networks are increasingly sharing potentially sensitive information about users and their relationships with advertisers, application developers, and data-mining researchers. This information is of significance importance in various applications domains such as marketing, psychology, epidemiology and homeland security. In the area of marketing, it is an accepted fact that the analysis of social networks has made commerce more profitable. Privacy on social networks is typically protected by anonymization. It is now accepted that current approaches to anonymization are not sufficient for ensuring privacy when dealing with social networks. Smarter anonymization techniques are based on the modification of the original network by adding fake links. While it is true that this makes the identification of the individuals harder, it is also true that the information of the social network is deteriorated. We introduced the NetDegree global constraint whose purpose is to eliminate non-viable alternatives in the process of finding a good trade-off between protection of data and quality of the information represented by the network. 52 pp. Englisch. Bookseller Inventory # 9783848440719

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Book Description LAP Lambert Academic Publishing. Paperback. Book Condition: New. Paperback. 52 pages. Dimensions: 8.7in. x 5.9in. x 0.1in.Owners of online social networks are increasingly sharing potentially sensitive information about users and their relationships with advertisers, application developers, and data-mining researchers. This information is of significance importance in various applications domains such as marketing, psychology, epidemiology and homeland security. In the area of marketing, it is an accepted fact that the analysis of social networks has made commerce more profitable. Privacy on social networks is typically protected by anonymization. It is now accepted that current approaches to anonymization are not sufficient for ensuring privacy when dealing with social networks. Smarter anonymization techniques are based on the modification of the original network by adding fake links. While it is true that this makes the identification of the individuals harder, it is also true that the information of the social network is deteriorated. We introduced the NetDegree global constraint whose purpose is to eliminate non-viable alternatives in the process of finding a good trade-off between protection of data and quality of the information represented by the network. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9783848440719

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Book Description LAP Lambert Academic Publishing, Germany, 2012. Paperback. Book Condition: New. Aufl.. Language: English . Brand New Book ***** Print on Demand *****.Owners of online social networks are increasingly sharing potentially sensitive information about users and their relationships with advertisers, application developers, and data-mining researchers. This information is of significance importance in various applications domains such as marketing, psychology, epidemiology and homeland security. In the area of marketing, it is an accepted fact that the analysis of social networks has made commerce more profitable. Privacy on social networks is typically protected by anonymization. It is now accepted that current approaches to anonymization are not sufficient for ensuring privacy when dealing with social networks. Smarter anonymization techniques are based on the modification of the original network by adding fake links. While it is true that this makes the identification of the individuals harder, it is also true that the information of the social network is deteriorated. We introduced the NetDegree global constraint whose purpose is to eliminate non-viable alternatives in the process of finding a good trade-off between protection of data and quality of the information represented by the network. Bookseller Inventory # AAV9783848440719

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Book Description LAP Lambert Academic Publishing Mrz 2012, 2012. Taschenbuch. Book Condition: Neu. This item is printed on demand - Print on Demand Neuware - Owners of online social networks are increasingly sharing potentially sensitive information about users and their relationships with advertisers, application developers, and data-mining researchers. This information is of significance importance in various applications domains such as marketing, psychology, epidemiology and homeland security. In the area of marketing, it is an accepted fact that the analysis of social networks has made commerce more profitable. Privacy on social networks is typically protected by anonymization. It is now accepted that current approaches to anonymization are not sufficient for ensuring privacy when dealing with social networks. Smarter anonymization techniques are based on the modification of the original network by adding fake links. While it is true that this makes the identification of the individuals harder, it is also true that the information of the social network is deteriorated. We introduced the NetDegree global constraint whose purpose is to eliminate non-viable alternatives in the process of finding a good trade-off between protection of data and quality of the information represented by the network. 52 pp. Englisch. Bookseller Inventory # 9783848440719

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