Privacy Risk Analysis Of Online Social Networks

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Privacy Risk Analysis of Online Social Networks

Author : Sourya Joyee De,Abdessamad Imine
Publisher : Springer Nature
Page : 95 pages
File Size : 44,7 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031023552

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Privacy Risk Analysis of Online Social Networks by Sourya Joyee De,Abdessamad Imine Pdf

The social benefit derived from Online Social Networks (OSNs) can lure users to reveal unprecedented volumes of personal data to an online audience that is much less trustworthy than their offline social circle. Even if a user hides his personal data from some users and shares with others, privacy settings of OSNs may be bypassed, thus leading to various privacy harms such as identity theft, stalking, or discrimination. Therefore, users need to be assisted in understanding the privacy risks of their OSN profiles as well as managing their privacy settings so as to keep such risks in check, while still deriving the benefits of social network participation. This book presents to its readers how privacy risk analysis concepts such as privacy harms and risk sources can be used to develop mechanisms for privacy scoring of user profiles and for supporting users in privacy settings management in the context of OSNs. Privacy scoring helps detect and minimize the risks due to the dissemination and use of personal data. The book also discusses many open problems in this area to encourage further research.

Security and Privacy in Social Networks

Author : Yaniv Altshuler,Yuval Elovici,Armin B. Cremers,Nadav Aharony,Alex Pentland
Publisher : Springer Science & Business Media
Page : 254 pages
File Size : 43,6 Mb
Release : 2012-08-14
Category : Computers
ISBN : 9781461441397

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Security and Privacy in Social Networks by Yaniv Altshuler,Yuval Elovici,Armin B. Cremers,Nadav Aharony,Alex Pentland Pdf

Security and Privacy in Social Networks brings to the forefront innovative approaches for analyzing and enhancing the security and privacy dimensions in online social networks, and is the first comprehensive attempt dedicated entirely to this field. In order to facilitate the transition of such methods from theory to mechanisms designed and deployed in existing online social networking services, the book aspires to create a common language between the researchers and practitioners of this new area- spanning from the theory of computational social sciences to conventional security and network engineering.

Risk Assessment and Countermeasures for Cybersecurity

Author : Almaiah, Mohammed Amin,Maleh, Yassine,Alkhassawneh, Abdalwali
Publisher : IGI Global
Page : 304 pages
File Size : 40,5 Mb
Release : 2024-05-01
Category : Computers
ISBN : 9798369326923

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Risk Assessment and Countermeasures for Cybersecurity by Almaiah, Mohammed Amin,Maleh, Yassine,Alkhassawneh, Abdalwali Pdf

The relentless growth of cyber threats poses an escalating challenge to our global community. The current landscape of cyber threats demands a proactive approach to cybersecurity, as the consequences of lapses in digital defense reverberate across industries and societies. From data breaches to sophisticated malware attacks, the vulnerabilities in our interconnected systems are glaring. As we stand at the precipice of a digital revolution, the need for a comprehensive understanding of cybersecurity risks and effective countermeasures has never been more pressing. Risk Assessment and Countermeasures for Cybersecurity is a book that clarifies many of these challenges in the realm of cybersecurity. It systematically navigates the web of security challenges, addressing issues that range from cybersecurity risk assessment to the deployment of the latest security countermeasures. As it confronts the threats lurking in the digital shadows, this book stands as a catalyst for change, encouraging academic scholars, researchers, and cybersecurity professionals to collectively fortify the foundations of our digital world.

Risks and Security of Internet and Systems

Author : Nora Cuppens,Frédéric Cuppens,Jean-Louis Lanet,Axel Legay,Joaquin Garcia-Alfaro
Publisher : Springer
Page : 269 pages
File Size : 43,8 Mb
Release : 2018-03-09
Category : Computers
ISBN : 9783319766874

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Risks and Security of Internet and Systems by Nora Cuppens,Frédéric Cuppens,Jean-Louis Lanet,Axel Legay,Joaquin Garcia-Alfaro Pdf

This book constitutes the revised selected papers from the 12th International Conference on Risk and Security of Internet and Systems, CRISIS 2017, held in Dinard, France, in September 2017.The 12 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 42 submissions. They cover diverse research themes, ranging from classic topics, such as vulnerability analysis and classification; apps security; access control and filtering; cloud security; cyber-insurance and cyber threat intelligence; human-centric security and trust; and risk analysis.

Privacy in Social Networks

Author : Elena Zheleva,Evimaria Terzi,Lise Getoor
Publisher : Springer Nature
Page : 96 pages
File Size : 45,9 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031019012

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Privacy in Social Networks by Elena Zheleva,Evimaria Terzi,Lise Getoor Pdf

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

Big Data and Security

Author : Yuan Tian,Tinghuai Ma,Qingshan Jiang,Qi Liu,Muhammad Khurram Khan
Publisher : Springer Nature
Page : 759 pages
File Size : 47,9 Mb
Release : 2023-05-30
Category : Computers
ISBN : 9789819933006

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Big Data and Security by Yuan Tian,Tinghuai Ma,Qingshan Jiang,Qi Liu,Muhammad Khurram Khan Pdf

This book constitutes the refereed proceedings of the 4th International Conference on Big Data and Security, ICBDS 2022, held in Xiamen, China, during December 8–12, 2022. The 51 full papers and 3 short papers included in this book were carefully reviewed and selected from 211 submissions. They were organized in topical sections as follows: answer set programming; big data and new method; intelligence and machine learning security; data technology and network security; sybersecurity and privacy; IoT security.

Article Collection on Human Aspects in Adaptive and Personalized Interactive Environments (HAAPIE)

Author : Vania Gatseva Dimitrova,Panagiotis Germanakos,Styliani Kleanthous
Publisher : Frontiers Media SA
Page : 155 pages
File Size : 42,9 Mb
Release : 2021-01-11
Category : Science
ISBN : 9782889663750

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Article Collection on Human Aspects in Adaptive and Personalized Interactive Environments (HAAPIE) by Vania Gatseva Dimitrova,Panagiotis Germanakos,Styliani Kleanthous Pdf

Social Networks: Analysis and Case Studies

Author : Şule Gündüz-Öğüdücü,A. Şima Etaner-Uyar
Publisher : Springer
Page : 266 pages
File Size : 48,9 Mb
Release : 2014-07-11
Category : Computers
ISBN : 9783709117972

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Social Networks: Analysis and Case Studies by Şule Gündüz-Öğüdücü,A. Şima Etaner-Uyar Pdf

The present volume provides a comprehensive resource for practitioners and researchers alike-both those new to the field as well as those who already have some experience. The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health. With the increasing popularity of Web 2.0, social media has become a widely used communication platform. Parallel to this development, Social Network Analysis gained in importance as a research field, while opening up many opportunities in different application domains. Forming a bridge between theory and applications makes this work appealing to both academics and practitioners as well as graduate students.

Security and Trust in Online Social Networks

Author : Barbara Carminati,Elena Ferrari,Marco Viviani
Publisher : Springer Nature
Page : 110 pages
File Size : 53,6 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031023392

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Security and Trust in Online Social Networks by Barbara Carminati,Elena Ferrari,Marco Viviani Pdf

The enormous success and diffusion that online social networks (OSNs) are encountering nowadays is vastly apparent. Users' social interactions now occur using online social media as communication channels; personal information and activities are easily exchanged both for recreational and business purposes in order to obtain social or economic advantages. In this scenario, OSNs are considered critical applications with respect to the security of users and their resources, for their characteristics alone: the large amount of personal information they manage, big economic upturn connected to their commercial use, strict interconnection among users and resources characterizing them, as well as user attitude to easily share private data and activities with strangers. In this book, we discuss three main research topics connected to security in online social networks: (i) trust management, because trust can be intended as a measure of the perception of security (in terms of risks/benefits) that users in an OSN have with respect to other (unknown/little-known) parties; (ii) controlled information sharing, because in OSNs, where personal information is not only connected to user profiles, but spans across users' social activities and interactions, users must be provided with the possibility to directly control information flows; and (iii) identity management, because OSNs are subjected more and more to malicious attacks that, with respect to traditional ones, have the advantage of being more effective by leveraging the social network as a new medium for reaching victims. For each of these research topics, in this book we provide both theoretical concepts as well as an overview of the main solutions that commercial/non-commercial actors have proposed over the years. We also discuss some of the most promising research directions in these fields.

Computers, Privacy and Data Protection: an Element of Choice

Author : Serge Gutwirth,Yves Poullet,Paul De Hert,Ronald Leenes
Publisher : Springer Science & Business Media
Page : 463 pages
File Size : 45,7 Mb
Release : 2011-02-26
Category : Law
ISBN : 9789400706415

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Computers, Privacy and Data Protection: an Element of Choice by Serge Gutwirth,Yves Poullet,Paul De Hert,Ronald Leenes Pdf

This timely interdisciplinary work on current developments in ICT and privacy/data protection, coincides as it does with the rethinking of the Data Protection Directive, the contentious debates on data sharing with the USA (SWIFT, PNR) and the judicial and political resistance against data retention. The authors of the contributions focus on particular and pertinent issues from the perspective of their different disciplines which range from the legal through sociology, surveillance studies and technology assessment, to computer sciences. Such issues include cutting-edge developments in the field of cloud computing, ambient intelligence and PETs; data retention, PNR-agreements, property in personal data and the right to personal identity; electronic road tolling, HIV-related information, criminal records and teenager's online conduct, to name but a few.

From Data to Models and Back

Author : Juliana Bowles,Giovanna Broccia,Roberto Pellungrini
Publisher : Springer Nature
Page : 199 pages
File Size : 46,5 Mb
Release : 2022-10-14
Category : Computers
ISBN : 9783031160110

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From Data to Models and Back by Juliana Bowles,Giovanna Broccia,Roberto Pellungrini Pdf

This book constitutes the refereed proceedings of the 10th International Symposium "From Data Models and Back", DataMod 2021, which was held virtually during December 6-7, 2021, as a satellite event of SEFM 2021. The 9 full papers and 1 short paper included in this book were carefully reviewed and selected from 12 submissions. They were organized in topical sections as follows: Model verification; data mining and processing related approaches; and other approaches.

Modern Forensic Tools and Devices

Author : Deepak Rawtani,Chaudhery Mustansar Hussain
Publisher : John Wiley & Sons
Page : 468 pages
File Size : 46,8 Mb
Release : 2023-05-26
Category : Medical
ISBN : 9781119763383

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Modern Forensic Tools and Devices by Deepak Rawtani,Chaudhery Mustansar Hussain Pdf

MODERN FORENSIC TOOLS AND DEVICES The book offers a comprehensive overview of the latest technologies and techniques used in forensic investigations and highlights the potential impact of these advancements on the field. Technology has played a pivotal role in advancing forensic science over the years, particularly in modern-day criminal investigations. In recent years, significant advancements in forensic tools and devices have enabled investigators to gather and analyze evidence more efficiently than ever. Modern Forensic Tools and Devices: Trends in Criminal Investigation is a comprehensive guide to the latest technologies and techniques used in forensic science. This book covers a wide range of topics, from computer forensics and personal digital assistants to emerging analytical techniques for forensic samples. A section of the book provides detailed explanations of each technology and its applications in forensic investigations, along with case studies and real-life examples to illustrate their effectiveness. One critical aspect of this book is its focus on emerging trends in forensic science. The book covers new technologies such as cloud and social media forensics, vehicle forensics, facial recognition and reconstruction, automated fingerprint identification systems, and sensor-based devices for trace evidence, to name a few. Its thoroughly detailed chapters expound upon spectroscopic analytical techniques in forensic science, DNA sequencing, rapid DNA tests, bio-mimetic devices for evidence detection, forensic photography, scanners, microscopes, and recent advancements in forensic tools. The book also provides insights into forensic sampling and sample preparation techniques, which are crucial for ensuring the reliability of forensic evidence. Furthermore, the book explains the importance of proper sampling and the role it plays in the accuracy of forensic analysis. Audience The book is an essential resource for forensic scientists, law enforcement officials, and anyone interested in the advancements in forensic science such as engineers, materials scientists, and device makers.

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

Author : Gupta, Brij B.,Perakovi?, Dragan,Abd El-Latif, Ahmed A.,Gupta, Deepak
Publisher : IGI Global
Page : 313 pages
File Size : 43,9 Mb
Release : 2021-12-31
Category : Computers
ISBN : 9781799884156

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Data Mining Approaches for Big Data and Sentiment Analysis in Social Media by Gupta, Brij B.,Perakovi?, Dragan,Abd El-Latif, Ahmed A.,Gupta, Deepak Pdf

Social media sites are constantly evolving with huge amounts of scattered data or big data, which makes it difficult for researchers to trace the information flow. It is a daunting task to extract a useful piece of information from the vast unstructured big data; the disorganized structure of social media contains data in various forms such as text and videos as well as huge real-time data on which traditional analytical methods like statistical approaches fail miserably. Due to this, there is a need for efficient data mining techniques that can overcome the shortcomings of the traditional approaches. Data Mining Approaches for Big Data and Sentiment Analysis in Social Media encourages researchers to explore the key concepts of data mining, such as how they can be utilized on online social media platforms, and provides advances on data mining for big data and sentiment analysis in online social media, as well as future research directions. Covering a range of concepts from machine learning methods to data mining for big data analytics, this book is ideal for graduate students, academicians, faculty members, scientists, researchers, data analysts, social media analysts, managers, and software developers who are seeking to learn and carry out research in the area of data mining for big data and sentiment.

Security and Privacy Preserving in Social Networks

Author : Richard Chbeir,Bechara Al Bouna
Publisher : Springer Science & Business Media
Page : 373 pages
File Size : 40,6 Mb
Release : 2013-10-17
Category : Computers
ISBN : 9783709108949

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Security and Privacy Preserving in Social Networks by Richard Chbeir,Bechara Al Bouna Pdf

This volume aims at assessing the current approaches and technologies, as well as to outline the major challenges and future perspectives related to the security and privacy protection of social networks. It provides the reader with an overview of the state-of-the art techniques, studies, and approaches as well as outlining future directions in this field. A wide range of interdisciplinary contributions from various research groups ensures for a balanced and complete perspective.

Advances in Intelligent Data Analysis XVIII

Author : Michael R. Berthold,Ad Feelders,Georg Krempl
Publisher : Springer Nature
Page : 601 pages
File Size : 42,5 Mb
Release : 2020-04-22
Category : Computers
ISBN : 9783030445843

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Advances in Intelligent Data Analysis XVIII by Michael R. Berthold,Ad Feelders,Georg Krempl Pdf

This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.