Author: Emily Kigel
Publisher: diplom.de
ISBN: 383664441X
Category : Computers
Languages : en
Pages : 76
Book Description
Inhaltsangabe:Abstract: In the last years the web underwent a drastic shift from a static, centralised information system to a dynamic, user-generated, distributed and open platform, and users changed from passive consumers to active participants, interacting, creating and sharing content. This 'new' web is called Web 2.0. In the era of this movement new Social Web applications emerged creating an environment for people to publish, share and discuss content, plus enabling people to create descriptive profiles of themselves for self-expression and build social networks consisting of relationships with others with the purpose of interaction and communication. With the increasing popularity of such social networking applications the number of users has scaled up and is still growing. Not only the number of users but also the web traffic is an indicator to the growing importance of social networking platforms which are now among the most visited websites. With over 100 million unique visitors worldwide, Facebook is one of the most popular networking sites on the web, moreover the site ranks third in the top visited sites on the web only being surpassed by Google and Yahoo! according to Alexa. YouTube (with over 80 million unique visitors), MySpace (with about 60 million unique visitors) and Flickr (about 30 million unique visitors) are other examples of prominent social networking platforms. However, the availability of such a huge amount of information within the social networking sites and the open nature of the services and their usage also attracts the attention of parties with marketing purposes or malicious intent. Users are thereby put at risk of online stalking, phishing, identity theft, spamming, passing on data to third parties and privacy issues which are related to personal data exposure due to insufficient access control. By maintaining social networks and actively participating in Social Web activities like interacting with others, users unwittingly expose sensitive and personal or inappropriate, even reputation-damaging data not only to friends but to an audience that mostly remains invisible and consists of strangers or acquaintances that potentially are not supposed to see such information. Thus the revealed information can lead to major consequences if read out of context or read by parties, like authorities or job recruiters, for whom this information was not intended. The reputation of social networking sites has been slightly [...]
Using Social Semantic Web Data for Privacy Policies
Author: Emily Kigel
Publisher: diplom.de
ISBN: 383664441X
Category : Computers
Languages : en
Pages : 76
Book Description
Inhaltsangabe:Abstract: In the last years the web underwent a drastic shift from a static, centralised information system to a dynamic, user-generated, distributed and open platform, and users changed from passive consumers to active participants, interacting, creating and sharing content. This 'new' web is called Web 2.0. In the era of this movement new Social Web applications emerged creating an environment for people to publish, share and discuss content, plus enabling people to create descriptive profiles of themselves for self-expression and build social networks consisting of relationships with others with the purpose of interaction and communication. With the increasing popularity of such social networking applications the number of users has scaled up and is still growing. Not only the number of users but also the web traffic is an indicator to the growing importance of social networking platforms which are now among the most visited websites. With over 100 million unique visitors worldwide, Facebook is one of the most popular networking sites on the web, moreover the site ranks third in the top visited sites on the web only being surpassed by Google and Yahoo! according to Alexa. YouTube (with over 80 million unique visitors), MySpace (with about 60 million unique visitors) and Flickr (about 30 million unique visitors) are other examples of prominent social networking platforms. However, the availability of such a huge amount of information within the social networking sites and the open nature of the services and their usage also attracts the attention of parties with marketing purposes or malicious intent. Users are thereby put at risk of online stalking, phishing, identity theft, spamming, passing on data to third parties and privacy issues which are related to personal data exposure due to insufficient access control. By maintaining social networks and actively participating in Social Web activities like interacting with others, users unwittingly expose sensitive and personal or inappropriate, even reputation-damaging data not only to friends but to an audience that mostly remains invisible and consists of strangers or acquaintances that potentially are not supposed to see such information. Thus the revealed information can lead to major consequences if read out of context or read by parties, like authorities or job recruiters, for whom this information was not intended. The reputation of social networking sites has been slightly [...]
Publisher: diplom.de
ISBN: 383664441X
Category : Computers
Languages : en
Pages : 76
Book Description
Inhaltsangabe:Abstract: In the last years the web underwent a drastic shift from a static, centralised information system to a dynamic, user-generated, distributed and open platform, and users changed from passive consumers to active participants, interacting, creating and sharing content. This 'new' web is called Web 2.0. In the era of this movement new Social Web applications emerged creating an environment for people to publish, share and discuss content, plus enabling people to create descriptive profiles of themselves for self-expression and build social networks consisting of relationships with others with the purpose of interaction and communication. With the increasing popularity of such social networking applications the number of users has scaled up and is still growing. Not only the number of users but also the web traffic is an indicator to the growing importance of social networking platforms which are now among the most visited websites. With over 100 million unique visitors worldwide, Facebook is one of the most popular networking sites on the web, moreover the site ranks third in the top visited sites on the web only being surpassed by Google and Yahoo! according to Alexa. YouTube (with over 80 million unique visitors), MySpace (with about 60 million unique visitors) and Flickr (about 30 million unique visitors) are other examples of prominent social networking platforms. However, the availability of such a huge amount of information within the social networking sites and the open nature of the services and their usage also attracts the attention of parties with marketing purposes or malicious intent. Users are thereby put at risk of online stalking, phishing, identity theft, spamming, passing on data to third parties and privacy issues which are related to personal data exposure due to insufficient access control. By maintaining social networks and actively participating in Social Web activities like interacting with others, users unwittingly expose sensitive and personal or inappropriate, even reputation-damaging data not only to friends but to an audience that mostly remains invisible and consists of strangers or acquaintances that potentially are not supposed to see such information. Thus the revealed information can lead to major consequences if read out of context or read by parties, like authorities or job recruiters, for whom this information was not intended. The reputation of social networking sites has been slightly [...]
Security, Privacy, and Trust in Modern Data Management
Author: Milan Petkovic
Publisher: Springer Science & Business Media
ISBN: 3540698612
Category : Computers
Languages : en
Pages : 467
Book Description
The vision of ubiquitous computing and ambient intelligence describes a world of technology which is present anywhere, anytime in the form of smart, sensible devices that communicate with each other and provide personalized services. However, open interconnected systems are much more vulnerable to attacks and unauthorized data access. In the context of this threat, this book provides a comprehensive guide to security and privacy and trust in data management.
Publisher: Springer Science & Business Media
ISBN: 3540698612
Category : Computers
Languages : en
Pages : 467
Book Description
The vision of ubiquitous computing and ambient intelligence describes a world of technology which is present anywhere, anytime in the form of smart, sensible devices that communicate with each other and provide personalized services. However, open interconnected systems are much more vulnerable to attacks and unauthorized data access. In the context of this threat, this book provides a comprehensive guide to security and privacy and trust in data management.
Big Data Analytics with Applications in Insider Threat Detection
Author: Bhavani Thuraisingham
Publisher: CRC Press
ISBN: 1498705480
Category : Computers
Languages : en
Pages : 544
Book Description
Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.
Publisher: CRC Press
ISBN: 1498705480
Category : Computers
Languages : en
Pages : 544
Book Description
Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.
Analyzing and Securing Social Networks
Author: Bhavani Thuraisingham
Publisher: CRC Press
ISBN: 1482243288
Category : Computers
Languages : en
Pages : 586
Book Description
Analyzing and Securing Social Networks focuses on the two major technologies that have been developed for online social networks (OSNs): (i) data mining technologies for analyzing these networks and extracting useful information such as location, demographics, and sentiments of the participants of the network, and (ii) security and privacy technolo
Publisher: CRC Press
ISBN: 1482243288
Category : Computers
Languages : en
Pages : 586
Book Description
Analyzing and Securing Social Networks focuses on the two major technologies that have been developed for online social networks (OSNs): (i) data mining technologies for analyzing these networks and extracting useful information such as location, demographics, and sentiments of the participants of the network, and (ii) security and privacy technolo
A Developer’s Guide to the Semantic Web
Author: Liyang Yu
Publisher: Springer
ISBN: 3662437961
Category : Computers
Languages : en
Pages : 841
Book Description
The Semantic Web represents a vision for how to make the huge amount of information on the Web automatically processable by machines on a large scale. For this purpose, a whole suite of standards, technologies and related tools have been specified and developed over the last couple of years and they have now become the foundation for numerous new applications. A Developer’s Guide to the Semantic Web helps the reader to learn the core standards, key components and underlying concepts. It provides in-depth coverage of both the what-is and how-to aspects of the Semantic Web. From Yu’s presentation, the reader will obtain not only a solid understanding about the Semantic Web, but also learn how to combine all the pieces to build new applications on the Semantic Web. The second edition of this book not only adds detailed coverage of the latest W3C standards such as SPARQL 1.1 and RDB2RDF, it also updates the readers by following recent developments. More specifically, it includes five new chapters on schema.org and semantic markup, on Semantic Web technologies used in social networks and on new applications and projects such as data.gov and Wikidata and it also provides a complete coding example of building a search engine that supports Rich Snippets. Software developers in industry and students specializing in Web development or Semantic Web technologies will find in this book the most complete guide to this exciting field available today. Based on the step-by-step presentation of real-world projects, where the technologies and standards are applied, they will acquire the knowledge needed to design and implement state-of-the-art applications.
Publisher: Springer
ISBN: 3662437961
Category : Computers
Languages : en
Pages : 841
Book Description
The Semantic Web represents a vision for how to make the huge amount of information on the Web automatically processable by machines on a large scale. For this purpose, a whole suite of standards, technologies and related tools have been specified and developed over the last couple of years and they have now become the foundation for numerous new applications. A Developer’s Guide to the Semantic Web helps the reader to learn the core standards, key components and underlying concepts. It provides in-depth coverage of both the what-is and how-to aspects of the Semantic Web. From Yu’s presentation, the reader will obtain not only a solid understanding about the Semantic Web, but also learn how to combine all the pieces to build new applications on the Semantic Web. The second edition of this book not only adds detailed coverage of the latest W3C standards such as SPARQL 1.1 and RDB2RDF, it also updates the readers by following recent developments. More specifically, it includes five new chapters on schema.org and semantic markup, on Semantic Web technologies used in social networks and on new applications and projects such as data.gov and Wikidata and it also provides a complete coding example of building a search engine that supports Rich Snippets. Software developers in industry and students specializing in Web development or Semantic Web technologies will find in this book the most complete guide to this exciting field available today. Based on the step-by-step presentation of real-world projects, where the technologies and standards are applied, they will acquire the knowledge needed to design and implement state-of-the-art applications.
Social Network Engineering for Secure Web Data and Services
Author: Luca Caviglione
Publisher: IGI Global
ISBN: 146663927X
Category : Computers
Languages : en
Pages : 323
Book Description
"This book provides empirical research on the engineering of social network infrastructures, the development of novel applications, and the impact of social network- based services over the internet"--Provided by publisher.
Publisher: IGI Global
ISBN: 146663927X
Category : Computers
Languages : en
Pages : 323
Book Description
"This book provides empirical research on the engineering of social network infrastructures, the development of novel applications, and the impact of social network- based services over the internet"--Provided by publisher.
Secure Data Science
Author: Bhavani Thuraisingham
Publisher: CRC Press
ISBN: 1000557502
Category : Computers
Languages : en
Pages : 457
Book Description
Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.
Publisher: CRC Press
ISBN: 1000557502
Category : Computers
Languages : en
Pages : 457
Book Description
Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.
Social Informatics
Author: Anwitaman Datta
Publisher: Springer Science & Business Media
ISBN: 3642247032
Category : Computers
Languages : en
Pages : 357
Book Description
This book constitutes the proceedings of the Third International Conference on Social Informatics, SocInfo 2011, held in Singapore in October 2011. The 15 full papers, 8 short papers and 13 posters included in this volume were carefully reviewed and selected from 68 full paper and 13 poster submissions. The papers are organized in topical sections named: network analysis; eGovernance and knowledge management; applications of network analysis; community dynamics; case studies; trust, privacy and security; peer-production.
Publisher: Springer Science & Business Media
ISBN: 3642247032
Category : Computers
Languages : en
Pages : 357
Book Description
This book constitutes the proceedings of the Third International Conference on Social Informatics, SocInfo 2011, held in Singapore in October 2011. The 15 full papers, 8 short papers and 13 posters included in this volume were carefully reviewed and selected from 68 full paper and 13 poster submissions. The papers are organized in topical sections named: network analysis; eGovernance and knowledge management; applications of network analysis; community dynamics; case studies; trust, privacy and security; peer-production.
Secure Data Provenance and Inference Control with Semantic Web
Author: Bhavani Thuraisingham
Publisher: CRC Press
ISBN: 1466569441
Category : Computers
Languages : en
Pages : 462
Book Description
This book supplies step-by-step instructions on how to secure the provenance of data to make sure it is safe from inference attacks. It details the design and implementation of a policy engine for provenance of data and presents case studies that illustrate solutions in a typical distributed health care system for hospitals. Although the case studies describe solutions in the health care domain, the methods presented in the book are applicable to a range of other domains.
Publisher: CRC Press
ISBN: 1466569441
Category : Computers
Languages : en
Pages : 462
Book Description
This book supplies step-by-step instructions on how to secure the provenance of data to make sure it is safe from inference attacks. It details the design and implementation of a policy engine for provenance of data and presents case studies that illustrate solutions in a typical distributed health care system for hospitals. Although the case studies describe solutions in the health care domain, the methods presented in the book are applicable to a range of other domains.
World Wide Research
Author: William H. Dutton
Publisher: MIT Press
ISBN: 0262513730
Category : Computers
Languages : en
Pages : 403
Book Description
Advances in information and communication technology are transforming the way scholarly research is conducted across all disciplines. The use of increasingly powerful and versatile computer-based and networked systems promises to change research activity as profoundly as the mobile phone, the Internet, and email have changed everyday life. This book offers a comprehensive and accessible view of the use of these new approaches-called "e-Research"--And their ethical, legal, and institutional implications. The contributors, leading scholars from a range of disciplines, focus on how e-Research is reshaping not only how research is done but also, and more important, its outcomes. By anchoring their discussion in specific examples and case studies, they identify and analyze a promising set of practical developments and results associated with e-Research innovations.
Publisher: MIT Press
ISBN: 0262513730
Category : Computers
Languages : en
Pages : 403
Book Description
Advances in information and communication technology are transforming the way scholarly research is conducted across all disciplines. The use of increasingly powerful and versatile computer-based and networked systems promises to change research activity as profoundly as the mobile phone, the Internet, and email have changed everyday life. This book offers a comprehensive and accessible view of the use of these new approaches-called "e-Research"--And their ethical, legal, and institutional implications. The contributors, leading scholars from a range of disciplines, focus on how e-Research is reshaping not only how research is done but also, and more important, its outcomes. By anchoring their discussion in specific examples and case studies, they identify and analyze a promising set of practical developments and results associated with e-Research innovations.