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Author: Kumaran U
Publisher:
ISBN: 9781805295266
Category :
Languages : en
Pages : 0
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Book Description
Secure Social Network Data Mining" is a comprehensive book authored by KUMARAN U, which addresses the growing concerns about privacy and security in social networks. The book explores the use of data mining techniques to extract valuable insights from social network data while protecting the privacy and security of users' personal information. The author delves into the key concepts of privacy, security, and confidentiality, and how they relate to data mining in social networks. The book highlights the importance of user privacy, anonymity, and confidentiality in data contribution and retrieval in social networks. The author examines the different techniques used for privacy preservation and data protection in social networks, including data encryption, decryption, access control, authentication, and authorization. Through the use of machine learning, artificial intelligence, and big data analytics, the book explores how data analysis can be used to identify privacy risks and threats and how to mitigate them. The author examines the impact of privacy laws and regulations on data ownership, data access, and data control in social networks. The book provides insights into user behavior and user profiling in social networks and how to protect user data during data collection, processing, storage, and transmission. The author highlights the role of cryptography in ensuring the security of social network data and the importance of user identification and verification in network security. Overall, "Secure Social Network Data Mining" offers a comprehensive examination of the challenges and opportunities associated with data mining in social networks. The book provides practical solutions for protecting user privacy and securing social network data while extracting valuable insights from social network data for research, business, and other applications
Author: Kumaran U
Publisher:
ISBN: 9781805295266
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Secure Social Network Data Mining" is a comprehensive book authored by KUMARAN U, which addresses the growing concerns about privacy and security in social networks. The book explores the use of data mining techniques to extract valuable insights from social network data while protecting the privacy and security of users' personal information. The author delves into the key concepts of privacy, security, and confidentiality, and how they relate to data mining in social networks. The book highlights the importance of user privacy, anonymity, and confidentiality in data contribution and retrieval in social networks. The author examines the different techniques used for privacy preservation and data protection in social networks, including data encryption, decryption, access control, authentication, and authorization. Through the use of machine learning, artificial intelligence, and big data analytics, the book explores how data analysis can be used to identify privacy risks and threats and how to mitigate them. The author examines the impact of privacy laws and regulations on data ownership, data access, and data control in social networks. The book provides insights into user behavior and user profiling in social networks and how to protect user data during data collection, processing, storage, and transmission. The author highlights the role of cryptography in ensuring the security of social network data and the importance of user identification and verification in network security. Overall, "Secure Social Network Data Mining" offers a comprehensive examination of the challenges and opportunities associated with data mining in social networks. The book provides practical solutions for protecting user privacy and securing social network data while extracting valuable insights from social network data for research, business, and other applications
Author: Bhatnagar, Vishal
Publisher: IGI Global
ISBN: 1466642149
Category : Computers
Languages : en
Pages : 412
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Book Description
Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining tools, these organizations are able to reveal the hidden and unknown information from available data. Data Mining in Dynamic Social Networks and Fuzzy Systems brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organizational development.
Author: Bhavani Thuraisingham
Publisher: CRC Press
ISBN: 1482243288
Category : Computers
Languages : en
Pages : 586
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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
Author: Brij Gupta
Publisher:
ISBN: 9781799884132
Category : Big data
Languages : en
Pages : 336
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Book Description
"This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends"--
Author: Françoise Fogelman-Soulié
Publisher: IOS Press
ISBN: 1586038982
Category : Computers
Languages : en
Pages : 388
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Book Description
The real power for security applications will come from the synergy of academic and commercial research focusing on the specific issue of security. This book is suitable for those interested in understanding the techniques for handling very large data sets and how to apply them in conjunction for solving security issues.
Author: Tansel Özyer
Publisher: Springer Science & Business Media
ISBN: 940076359X
Category : Technology & Engineering
Languages : en
Pages : 283
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Book Description
Crime, terrorism and security are in the forefront of current societal concerns. This edited volume presents research based on social network techniques showing how data from crime and terror networks can be analyzed and how information can be extracted. The topics covered include crime data mining and visualization; organized crime detection; crime network visualization; computational criminology; aspects of terror network analyses and threat prediction including cyberterrorism and the related area of dark web; privacy issues in social networks; security informatics; graph algorithms for social networks; general aspects of social networks such as pattern and anomaly detection; community discovery; link analysis and spatio-temporal network mining. These topics will be of interest to researchers and practitioners in the general area of security informatics. The volume will also serve as a general reference for readers that would want to become familiar with current research in the fast growing field of cybersecurity.
Author: Mrutyunjaya Panda
Publisher: Springer
ISBN: 3319051644
Category : Technology & Engineering
Languages : en
Pages : 313
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Book Description
With the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.
Author: Charu C. Aggarwal
Publisher: Springer Science & Business Media
ISBN: 1441984623
Category : Computers
Languages : en
Pages : 508
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Book Description
Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.
Author: Elena Zheleva
Publisher: Morgan & Claypool Publishers
ISBN: 1608458636
Category : Computers
Languages : en
Pages : 87
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Book Description
This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally, we describe a set of recent techniques for modeling, evaluating, and managing individual users' privacy risk within the context of OSNs. Table of Contents: Introduction / A Model for Online Social Networks / Types of Privacy Disclosure / Statistical Methods for Inferring Information in Networks / Anonymity and Differential Privacy / Attacks and Privacy-preserving Mechanisms / Models of Information Sharing / Users' Privacy Risk / Management of Privacy Settings
Author: Ajith Abraham
Publisher: Springer Science & Business Media
ISBN: 1447140516
Category : Computers
Languages : en
Pages : 352
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Book Description
This book is the second of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, concentrating on topics relating to security and privacy (the other two volumes review Tools, Perspectives, and Applications, and Mining and Visualization in CSNs). Topics and features: presents the latest advances in security and privacy issues in CSNs, and illustrates how both organizations and individuals can be protected from real-world threats; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, and the representation and analysis of social networks, with a focus on issues of security, privacy, and anonymization; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.
