Steganography and Secure Communication on Online Social Networks and Online Photo Sharing

2011 ◽  
Author(s):  
Aniello Castiglione ◽  
Bonaventura D'Alessio ◽  
Alfredo De Santis
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Secure Communication ◽  
Photo Sharing

Control of photo sharing over Online Social Networks

2014 ◽  
Author(s):  
Kaihe Xu ◽  
Yuanxiong Guo ◽  
Linke Guo ◽  
Yuguang Fang ◽  
Xiaolin Li
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Photo Sharing

Energy Consumption of Photo Sharing in Online Social Networks

2014 ◽  
Author(s):  
Fatemeh Jalali ◽  
Chrispin Gray ◽  
Arun Vishwanath ◽  
Robert Ayre ◽  
Tansu Alpcan ◽  
...  
Keyword(s):  
Social Networks ◽  
Energy Consumption ◽  
Online Social Networks ◽  
Photo Sharing

Privacy Concerns for Photo Sharing in Online Social Networks

2015 ◽  
Vol 19 (2) ◽  
pp. 58-63 ◽  
Author(s):  
Kaitai Liang ◽  
Joseph K. Liu ◽  
Rongxing Lu ◽  
Duncan S. Wong
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Privacy Concerns ◽  
Photo Sharing

Trust-Based Privacy-Preserving Photo Sharing in Online Social Networks

2019 ◽  
Vol 21 (3) ◽  
pp. 591-602 ◽  
Author(s):  
Lei Xu ◽  
Ting Bao ◽  
Liehuang Zhu ◽  
Yan Zhang
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Privacy Preserving ◽  
Photo Sharing

Effectiveness and Users’ Experience of Face Blurring as a Privacy Protection for Sharing Photos via Online Social Networks

2017 ◽  
Vol 61 (1) ◽  
pp. 803-807 ◽  
Author(s):  
Yifang Li ◽  
Nishant Vishwamitra ◽  
Hongxin Hu ◽  
Bart P. Knijnenburg ◽  
Kelly Caine
Keyword(s):  
Social Networks ◽  
Social Presence ◽  
Online Social Networks ◽  
Privacy Protection ◽  
Online Experiment ◽  
Photo Sharing ◽  
Privacy Issues

Photo sharing on online social networks (OSNs) can cause privacy issues. Face blurring is one strategy to increase privacy while still allowing users to share photos. To explore the potential blurring has as a privacy-enhancing technology for OSN photos, we conducted an online experiment with 47 participants to evaluate the effectiveness of face blurring compared to the original photo (as-is), and users’ experience (satisfaction, information sufficiency, enjoyment, social presence, and filter likeability). Users’ experience ratings for face blurring were positive, indicating blurring may be an acceptable way to modify photos from the users’ perspective. However, from a privacy-enhancement perspective, while face blurring may be useful in some situations, such as those where the person in the photo is unknown to the viewer, in other cases, such as in an OSN where the person in the image is known to the viewer, face blurring does not provide privacy protection.

scholarly journals Security of Photo Sharing on Online Social Networks

IJARCCE ◽  
2017 ◽  
Vol 6 (6) ◽  
pp. 512-515
Author(s):  
Harshali Chandel ◽  
Dr. Bagade A. M.
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Photo Sharing

Privacy Control of Photo Sharing in Online Social Media

2020 ◽  
Vol 17 (9) ◽  
pp. 4692-4697
Author(s):  
Radhika Goriparthi ◽  
Kanyakumari Jagadish Basani
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Data Sharing ◽  
Online Social Networks ◽  
Facial Recognition ◽  
Recognition System ◽  
Online Social Media ◽  
Photo Sharing ◽  
Facial Recognition System ◽  
Prior Permission

Online Social Networks were famous for the data sharing etc., they have many features like chatting, photo sharing etc. A photo can be leaked without prior permission of the owner. A mechanism was developed to allow each individual in the group aware of the photo posting activity. An efficient facial recognition system that can recognize two different photos was designed. Only the owner of the photo can share the photo, this system is superior to other systems in terms of recognition ratio. This application is developed on the windows platform.

scholarly journals Peer-to-Peer-Based Social Networks: A Comprehensive Survey

2020 ◽  
Vol 1 (5) ◽  
Author(s):  
Newton Masinde ◽  
Kalman Graffi
Keyword(s):  
Social Networks ◽  
Access Control ◽  
Data Storage ◽  
Online Social Networks ◽  
Secure Communication ◽  
Identity Management ◽  
Online Social Network ◽  
Building Blocks ◽  
General Purpose ◽  
Peer To Peer

Abstract The use of online social networks, such as Facebook and Twitter, has grown at a phenomenal rate. These platforms offer services that support interactions via messaging, chatting or audio/video conferencing, and also sharing of content. Most, if not all, of these platforms use centralized computing systems; therefore, the control and management of the systems lies entirely in the hands of one provider, who must be trusted to treat the data and communication traces securely. As a zero-trust alternative, peer-to-peer (P2P) technologies promise to support end-to-end communication, uncompromising access control, anonymity and resilience against censorship and massive data leaks through misused trust. The goals of this survey are threefold. First, the survey elaborates the properties of P2P-based online social networks and defines the requirements for such (zero-trust) platforms. Second, it gives an exposition of the building blocks for P2P frameworks that allow the creation of such sophisticated and demanding applications, such as user/identity management, reliable data storage, secure communication, access control and general-purpose extensibility, which are not properly addressed in other P2P surveys. As a third point, it gives a comprehensive analysis of proposed P2P-based online social network applications, frameworks and architectures by exploring the technical details, inter-dependencies and maturity of these solutions.

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