Paper Info
Title
Classification of various attacks and their defence mechanism in online social networks: a survey
Abstract
Due to the popularity and user friendliness of the Internet, numbers of users of online social networks (OSNs) and social media have grown significantly. However, globally utilised, social networks are the consequence of the lack of understanding of secrecy and protection on OSN and media has increased. Secrecy and surety of OSNs need to be inquired from various positions. According to recent studies, OSN users expose their private information such as email address, phone number etc. In this paper, we have presented a high-level classification of recent OSN attacks for recognising the problem and analysing the blow of such attacks on World Wide Web. We have also discussed OSN attacks on different social networking web applications by citing certain recent reports such as Kaspersky security network and Sophos security threat report. We also offer some simple-to-implement user practice tips to protect the system and user's information. In addition to this, we have discussed a comprehensive analysis of numerous defensive approaches on OSN security. Lastly, based on the acknowledged strength and faults of these defensive approaches, we have explained open research issues.
Year
DOI
Venue
2019
10.1080/17517575.2019.1605542
ENTERPRISE INFORMATION SYSTEMS
Keywords
Field
DocType
Online social networking security,Facebook privacy,malware,machine learning,classification
Data mining,World Wide Web,Social network,Social media,Computer science,Popularity,Malware,The Internet
Journal
Volume
Issue
ISSN
13.0
6
1751-7575
Citations 
PageRank 
References 
2
0.36
0
Authors
2
Name
Order
Citations
PageRank
Somya Ranjan Sahoo171.20
Brij Bhooshan Gupta21569.95