Classification of various attacks and their defence mechanism in online social networks: a survey

被引:39
|
作者
Sahoo, Somya Ranjan [1 ]
Gupta, Brij Bhooshan [1 ]
机构
[1] Natl Inst Technol Kurukshetra, Dept Comp Engn, Kurukshetra, Haryana, India
关键词
Online social networking security; Facebook privacy; malware; machine learning; classification; ACCOUNT DETECTION; PRIVACY; SECURITY; MEDIA;
D O I
10.1080/17517575.2019.1605542
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:832 / 864
页数:33
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