A survey of defensive deception: Approaches using game theory and machine learning

M Zhu, AH Anwar, Z Wan, JH Cho… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Defensive deception is a promising approach for cyber defense. Via defensive deception, a
defender can anticipate and prevent attacks by misleading or luring an attacker, or hiding …

Privacy and security in online social networks: A survey

I Kayes, A Iamnitchi - Online Social Networks and Media, 2017 - Elsevier
Online social networks (OSN) are a permanent presence in today's personal and
professional lives of a huge segment of the population, with direct consequences to offline …

The rise of social botnets: Attacks and countermeasures

J Zhang, R Zhang, Y Zhang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Online social networks (OSNs) are increasingly threatened by social bots which are software-
controlled OSN accounts that mimic human users with malicious intentions. A social botnet …

[HTML][HTML] Discovering spammer communities in twitter

PV Bindu, R Mishra, PS Thilagam - Journal of Intelligent Information …, 2018 - Springer
Online social networks have become immensely popular in recent years and have become
the major sources for tracking the reverberation of events and news throughout the world …

Online social deception and its countermeasures: A survey

Z Guo, JH Cho, R Chen, S Sengupta, M Hong… - Ieee …, 2020 - ieeexplore.ieee.org
We are living in an era when online communication over social network services (SNSs)
have become an indispensable part of people's everyday lives. As a consequence, online …

Using supervised machine learning algorithms to detect suspicious URLs in online social networks

M Al-Janabi, E Quincey, P Andras - Proceedings of the 2017 IEEE/ACM …, 2017 - dl.acm.org
The increasing volume of malicious content in social networks requires automated methods
to detect and eliminate such content. This paper describes a supervised machine learning …

Feature engineering for detecting spammers on Twitter: Modelling and analysis

W Herzallah, H Faris, O Adwan - Journal of Information …, 2018 - journals.sagepub.com
Twitter is a social networking website that has gained a lot of popularity around the world in
the last decade. This popularity made Twitter a common target for spammers and malicious …

Combating the evolving spammers in online social networks

Q Fu, B Feng, D Guo, Q Li - Computers & Security, 2018 - Elsevier
Online social networks, such as Facebook and Sina Weibo, have become the most popular
platforms for information sharing and social activities. Spammers have utilized social …

[HTML][HTML] User characterization for online social networks

T Tuna, E Akbas, A Aksoy, MA Canbaz… - Social Network Analysis …, 2016 - Springer
Online social network analysis has attracted great attention with a vast number of users
sharing information and availability of APIs that help to crawl online social network data. In …

[HTML][HTML] A survey on detecting spam accounts on Twitter network

O Çıtlak, M Dörterler, İA Doğru - Social Network Analysis and Mining, 2019 - Springer
Social networks have become an inseparable part of our lives today. Services such as
Facebook, Twitter, Instagram, Google+ and LinkedIn in particular have had a significant …