Rise of spam and compromised accounts in online social networks: A state-of-the-art review of different combating approaches
Ever increasing fame and obsession for social networks has also coxswained a dramatic
increase in the presence of malicious activities. As a result, various researchers have …
increase in the presence of malicious activities. As a result, various researchers have …
Detecting malicious urls using lexical analysis
The Web has long become a major platform for online criminal activities. URLs are used as
the main vehicle in this domain. To counter this issues security community focused its efforts …
the main vehicle in this domain. To counter this issues security community focused its efforts …
An unsupervised method for social network spammer detection based on user information interests
Abstract Online Social Networks (OSNs) are a popular platform for communication and
collaboration. Spammers are highly active in OSNs. Uncovering spammers has become one …
collaboration. Spammers are highly active in OSNs. Uncovering spammers has become one …
Towards fighting cybercrime: Malicious url attack type detection using multiclass classification
T Manyumwa, PF Chapita, H Wu… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Malicious Uniform Resource Locators (URLs) re-main one of the most common threats to
cybersecurity. They are commonly spread through phishing, malware and spam. One …
cybersecurity. They are commonly spread through phishing, malware and spam. One …
Spade: Multi-stage spam account detection for online social networks
In recent years, Online Social Networks (OSNs) have radically changed the way people
communicate. The most widely used platforms, such as Facebook, Youtube, and Instagram …
communicate. The most widely used platforms, such as Facebook, Youtube, and Instagram …
TextSpamDetector: textual content based deep learning framework for social spam detection using conjoint attention mechanism
E Elakkiya, S Selvakumar… - Journal of Ambient …, 2021 - Springer
Abstract Online Social Networks (OSNs) allow easy membership leading to registration of a
huge population and generation of voluminous information. These characteristics attract …
huge population and generation of voluminous information. These characteristics attract …
Toward detecting malicious links in online social networks through user behavior
B Alghamdi, J Watson, Y Xu - 2016 IEEE/WIC/ACM International …, 2016 - ieeexplore.ieee.org
It is becoming increasingly difficult to ignore the importance of using online social networks
(OSNs) for various purposes such as marketing, education, entertainment, and business …
(OSNs) for various purposes such as marketing, education, entertainment, and business …
Uncovering download fraud activities in mobile app markets
Download fraud is a prevalent threat in mobile App markets, where fraudsters manipulate
the number of downloads of Apps via various cheating approaches. Purchased fake …
the number of downloads of Apps via various cheating approaches. Purchased fake …
Dynamic feature selection for spam detection in Twitter
Social Networks continue to increase their popularity day by day. With the widespread
availability of Internet access, interest of people in social networks has also increased …
availability of Internet access, interest of people in social networks has also increased …
Spam detection in social networks based on peer acceptance
Online Social Networks (OSNs) have become immensely popular for spammers spreading
malicious content and links. Using the nature of OSNs, spammers frequently change their …
malicious content and links. Using the nature of OSNs, spammers frequently change their …