Fast And Secure Friend Recommendation In Online Social Networks
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Fast And Secure Friend Recommendation In Online Social Networks
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Author : Raiya Hossain
language : en
Publisher:
Release Date : 2021
Fast And Secure Friend Recommendation In Online Social Networks written by Raiya Hossain and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Data protection categories.
Online Social Networks have completely transformed communication in the world of social networks. Participation in online social networks have been growing significantly and is expected to continue to grow in the upcoming years. As user participation in online social media is on the rise, so is the concern pertaining to user privacy and information security; users want to interact on social media without jeopardizing their privacy and personal information. Extensive research has been conducted in the area of developing privacy-preserving protocols to allow users to interact in a secure and privacy-preserving environment. One of the elements that social media have is the feature or ability to befriend other users. While a user may manually search for friends to “add”, social media networks like Twitter, Facebook, Instagram, Snapchat and others facilitate friend recommendations to their users based on di↵erent criteria. We examine and compare the advantages and disadvantages of existing privacy-preserving techniques and schemes. We also analyze different models used to implement friend recommendation protocols and study proximity measurement metrics used in existing works. This thesis scrutinizes the security weaknesses and vulnerabilities of three Friend Recommendation Protocols from existing work and develop a corresponding solution. We propose a (FSFR) protocol that is based on Shamir’s Secret Sharing to facilitate friend recommendations in Online Social Networks in a fast, secure and private manner. After comparing our protocol with existing protocols in terms of security, computation efficiency, costs, flexibility and more, we conclude that our FSFR protocol guarantees a superior and more efficient friend recommendation protocol.
A Privacy Aware Framework For Friend Recommendations In Online Social Networks
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Author : Mona Fahad Alkanhal
language : en
Publisher:
Release Date : 2019
A Privacy Aware Framework For Friend Recommendations In Online Social Networks written by Mona Fahad Alkanhal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Cloud computing categories.
Online social networks (OSN), such as Facebook, Twitter, and LinkedIn, have revolutionized the way how people share information and stay connected with family and friends. Along this direction, user’s privacy has been a significant concern to all users in the social networks. In this thesis, we propose a privacyaware framework that allows users to outsource their encrypted profile data to a cloud environment. In order to achieve better security and efficiency, our framework utilizes a hybrid approach that consists of Paillier’s encryption scheme and AES. Furthermore, we develop a privacy-aware friend recommendation protocol that recommends new friends to social network users without compromising their data. The proposed protocol adopts a collaborative analysis between the online social network provider and a cloud to increase the security in the suggested approach. Moreover, to increase the efficiency of the proposed protocol we utilize common-neighbors metric and universal hash functions. We compared our protocol with the existing work and demonstrate that our protocol is more efficient and achieves better security. We also conducted a set of experiments to evaluate the performance of our protocol and demonstrate its practicality.
Privacy Preserving Friend Recommendations In Online Social Networks
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Author : Bharath Kumar Samanthula
language : en
Publisher:
Release Date : 2013
Privacy Preserving Friend Recommendations In Online Social Networks written by Bharath Kumar Samanthula and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Data mining categories.
"Online social networks, such as Facebook and Google+, have been emerging as a new communication service for users to stay in touch and share information with family members and friends over the Internet. Since the users are generating huge amounts of data on social network sites, an interesting question is how to mine this enormous amount of data to retrieve useful information. Along this direction, social network analysis has emerged as an important tool for many business intelligence applications such as identifying potential customers and promoting items based on their interests. In particular, since users are often interested to make new friends, a friend recommendation application provides the medium for users to expand his/her social connections and share information of interest with more friends. Besides this, it also helps to enhance the development of the entire network structure. The existing friend recommendation methods utilize social network structure and/or user profile information. However, these methods can no longer be applicable if the privacy of users is taken into consideration. This work introduces a set of privacy-preserving friend recommendation protocols based on different existing similarity metrics in the literature. Briefly, depending on the underlying similarity metric used, the proposed protocols guarantee the privacy of a user's personal information such as friend lists. These protocols are the first to make the friend recommendation process possible in privacy-enhanced social networking environments. Also, this work considers the case of outsourced social networks, where users' profile data are encrypted and outsourced to third-party cloud providers who provide social networking services to the users. Under such an environment, this work proposes novel protocols for the cloud to do friend recommendations in a privacy-preserving manner"--Abstract, page iii.
Social Networking For The Older And Wiser
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Author : Sean McManus
language : en
Publisher: John Wiley & Sons
Release Date : 2010-08-03
Social Networking For The Older And Wiser written by Sean McManus and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-03 with Computers categories.
Social networks enable anyone with a computer and Internet connection to stay in touch with friends and family across the globe, and rediscover old acquaintances. Social Networking for the Older and Wiser starts with the basics of social networks, before moving onto intermediate topics, all whilst highlighting ways to protect your privacy and keep your details secure. The book is packed with step-by-step instructions on how to use Facebook, Twitter, Friends Reunited, Saga Zone, and other social networks to: Create an account on your chosen social network Reconnect and stay-in-touch with old friends Find others who share your interests and hobbies Share messages and photos Create your own social groups and clubs online So what are you waiting for? Join in on the social networking phenomenon that is sweeping the globe!
Recommender Systems For Location Based Social Networks
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Author : Panagiotis Symeonidis
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-02-08
Recommender Systems For Location Based Social Networks written by Panagiotis Symeonidis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-08 with Computers categories.
Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions in mobile devices (i.e. smart phones) enabled the incorporation of geo-location data in the traditional web-based online social networks, bringing the new era of Social and Mobile Web. The goal of this book is to bring together important research in a new family of recommender systems aimed at serving Location-based Social Networks (LBSNs). The chapters introduce a wide variety of recent approaches, from the most basic to the state-of-the-art, for providing recommendations in LBSNs. The book is organized into three parts. Part 1 provides introductory material on recommender systems, online social networks and LBSNs. Part 2 presents a wide variety of recommendation algorithms, ranging from basic to cutting edge, as well as a comparison of the characteristics of these recommender systems. Part 3 provides a step-by-step case study on the technical aspects of deploying and evaluating a real-world LBSN, which provides location, activity and friend recommendations. The material covered in the book is intended for graduate students, teachers, researchers, and practitioners in the areas of web data mining, information retrieval, and machine learning.
Online Social Networks Security
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Author : Brij B. Gupta
language : en
Publisher: CRC Press
Release Date : 2021-02-26
Online Social Networks Security written by Brij B. Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-26 with Computers categories.
In recent years, virtual meeting technology has become a part of the everyday lives of more and more people, often with the help of global online social networks (OSNs). These help users to build both social and professional links on a worldwide scale. The sharing of information and opinions are important features of OSNs. Users can describe recent activities and interests, share photos, videos, applications, and much more. The use of OSNs has increased at a rapid rate. Google+, Facebook, Twitter, LinkedIn, Sina Weibo, VKontakte, and Mixi are all OSNs that have become the preferred way of communication for a vast number of daily active users. Users spend substantial amounts of time updating their information, communicating with other users, and browsing one another’s accounts. OSNs obliterate geographical distance and can breach economic barrier. This popularity has made OSNs a fascinating test bed for cyberattacks comprising Cross-Site Scripting, SQL injection, DDoS, phishing, spamming, fake profile, spammer, etc. OSNs security: Principles, Algorithm, Applications, and Perspectives describe various attacks, classifying them, explaining their consequences, and offering. It also highlights some key contributions related to the current defensive approaches. Moreover, it shows how machine-learning and deep-learning methods can mitigate attacks on OSNs. Different technological solutions that have been proposed are also discussed. The topics, methodologies, and outcomes included in this book will help readers learn the importance of incentives in any technical solution to handle attacks against OSNs. The best practices and guidelines will show how to implement various attack-mitigation methodologies.
Friend Recommendation In Social Multimedia Networks
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Author : Shangrong Huang
language : en
Publisher:
Release Date : 2017
Friend Recommendation In Social Multimedia Networks written by Shangrong Huang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Recommender systems (Information filtering) categories.
Foundations And Practice Of Security
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Author : Guy-Vincent Jourdan
language : en
Publisher: Springer Nature
Release Date : 2023-03-31
Foundations And Practice Of Security written by Guy-Vincent Jourdan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with Computers categories.
This book constitutes the refereed proceedings of the 15th International Symposium on Foundations and Practice of Security, FPS 2022, held in Ottawa, ON, Canada, during December 12–14, 2022. The 26 regular and 3 short papers presented in this book were carefully reviewed and selected from 83 submissions. The papers have been organized in the following topical sections: Cryptography; Machine Learning; Cybercrime and Privacy; Physical-layer Security; Blockchain; IoT and Security Protocols; and Short Papers.
Recommendation And Search In Social Networks
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Author : Özgür Ulusoy
language : en
Publisher: Springer
Release Date : 2015-02-12
Recommendation And Search In Social Networks written by Özgür Ulusoy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-12 with Computers categories.
This edited volume offers a clear in-depth overview of research covering a variety of issues in social search and recommendation systems. Within the broader context of social network analysis it focuses on important and up-coming topics such as real-time event data collection, frequent-sharing pattern mining, improvement of computer-mediated communication, social tagging information, search system personalization, new detection mechanisms for the identification of online user groups, and many more. The twelve contributed chapters are extended versions of conference papers as well as completely new invited chapters in the field of social search and recommendation systems. This first-of-its kind survey of current methods will be of interest to researchers from both academia and industry working in the field of social networks.
Exploring Social Networks For Collaborative Recommendation
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Author : Bin Liu
language : en
Publisher:
Release Date : 2011
Exploring Social Networks For Collaborative Recommendation written by Bin Liu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.