Today, with the fast changing technology and life-style, online social networks (OSNs) play an important role in everybody's life. Online social networking has made a drastic change in the way we pursue our social life. At the same time, various security problems like fake profiles, online impersonation, socialbots, clickjacking, identity clone attacks, publish spam messages, etc have also grown. Moreover, the concept of applying a computational intelligence (CI) approaches in social network analysis is feasible and sound. Therefore, the papers of this special issue address variety of security and privacy issues in online social networks including, social network modelling and security issues, information revelation and privacy, mining and analyzing social data, social networking data analysis tools and services and security of other aspects of online social networks. © 2018

Arun Kumar S

Department of Information Security

School of Computer Science and Engineering

Vellore Campus

Gupta B.B

Nedjah N

Yamaguchi S

Zhang Z

Sheng M.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Future Generation Computer Systems

Friend relationships and location information are the biggest privacy concerns for the users in mobile Online Social Networks (mOSNs). Existing solutions save these two kinds of privacy information in two different servers, i.e., Social Network Server (SNS) and Location Based Server (LBS), and employ some encryption protocols to map each other to provide the location-sharing service among friends and strangers. However, this distributed architecture incurs large communication overhead between SNS and LBS, and great storage burden as well. In order to overcome these shortages, we propose a centralized privacy-preserving location-sharing system, named CenLocShare. It integrates SNS and LBS into one server, i.e., Location-storing Social Network Server (LSSNS), and uses the dummy locations and the dedicated mapping protocols between LSSNS and Cellular Tower (CT) to share privacy-preserving locations. Its safety is validated by the security analysis. Furthermore, we implement the prototype of CenLocShare and do some comparisons with other systems. The thorough experiments indicate our system decreases the query time for friends’ locations and the storage space CenLocShare is more suitable and effective in the context of mOSNs © 2017 Elsevier B.V.

CenLocShare: A centralized privacy-preserving location-sharing system for mobile online social networks

A prediction system of Sybil attack in social network using deep-regression model

Privacy-protected statistics publication over social media user trajectory streams

Social media security and trustworthiness: Overview and new direction

Image steganography using uncorrelated color space and its application for security of visual contents in online social networks

Recent research in computational intelligence paradigms into security and privacy for online social networks (OSNs)

Journal	Data powered by TypesetFuture Generation Computer Systems
Publisher	Data powered by TypesetElsevier BV
ISSN	0167-739X
Open Access	0