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Learning textual features for Twitter spam detection: A systematic literature review
Background—Nowadays, with the rise of Internet access and mobile devices around the
globe, more people are using social networks for collaboration and receiving real-time …
globe, more people are using social networks for collaboration and receiving real-time …
Data-driven cyber security in perspective—Intelligent traffic analysis
Social and Internet traffic analysis is fundamental in detecting and defending cyber attacks.
Traditional approaches resorting to manually defined rules are gradually replaced by …
Traditional approaches resorting to manually defined rules are gradually replaced by …
Deep learning to filter SMS Spam
The popularity of short message service (SMS) has been growing over the last decade. For
businesses, these text messages are more effective than even emails. This is because while …
businesses, these text messages are more effective than even emails. This is because while …
Twitter spam detection: Survey of new approaches and comparative study
Twitter spam has long been a critical but difficult problem to be addressed. So far,
researchers have proposed many detection and defence methods in order to protect Twitter …
researchers have proposed many detection and defence methods in order to protect Twitter …
[HTML][HTML] Detection of spam-posting accounts on Twitter
Abstract Online Social Media platforms, such as Facebook and Twitter, enable all users,
independently of their characteristics, to freely generate and consume huge amounts of …
independently of their characteristics, to freely generate and consume huge amounts of …
Spammer detection and fake user identification on social networks
Social networking sites engage millions of users around the world. The users' interactions
with these social sites, such as Twitter and Facebook have a tremendous impact and …
with these social sites, such as Twitter and Facebook have a tremendous impact and …
A machine learning approach for the identification of the deceptive reviews in the hospitality sector using unique attributes and sentiment orientation
The popularity of online reviews is causing a huge impact on consumers' purchase
intentions for goods and services. However, and hidden by the anonymity of the Internet …
intentions for goods and services. However, and hidden by the anonymity of the Internet …
Fake profile detection on social networking websites: a comprehensive review
This article aims to summarize the recent advancement in the fake account detection
methodology on social networking websites. Over the past decade, social networking …
methodology on social networking websites. Over the past decade, social networking …
An intelligent framework based on deep learning for SMS and e‐mail spam detection
The use of short message service (SMS) and e‐mail have increased too much over the last
decades. 80% of people do not read e‐mails while 98% of cell phone users daily read their …
decades. 80% of people do not read e‐mails while 98% of cell phone users daily read their …
Spammer detection approaches in online social network (OSNs): a survey
In recent years, spammer has imbued every social network platform. The growth in users in
social platforms like Instagram, Facebook, Sina Weibo, Twitter, YouTube, etc. has unfolded …
social platforms like Instagram, Facebook, Sina Weibo, Twitter, YouTube, etc. has unfolded …