Fuz-spam: Label smoothing-based fuzzy detection of spammers in internet of things
Nowadays, online spamming has already been a remarkable threat to contents security of
Internet of Things. Due to constant technical progress, online spamming activities have been …
Internet of Things. Due to constant technical progress, online spamming activities have been …
Robust spammer detection using collaborative neural network in Internet-of-Things applications
Spamming is emerging as a key threat to the Internet of Things (IoT)-based social media
applications. It will pose serious security threats to the IoT cyberspace. To this end, artificial …
applications. It will pose serious security threats to the IoT cyberspace. To this end, artificial …
Deep graph neural network-based spammer detection under the perspective of heterogeneous cyberspace
Due to the severe threat to cyberspace security, detection of online spammers has been a
universal concern of academia. Nowadays, prevailing literature of this field almost leveraged …
universal concern of academia. Nowadays, prevailing literature of this field almost leveraged …
Semi-supervised clue fusion for spammer detection in Sina Weibo
H Chen, J Liu, Y Lv, MH Li, M Liu, Q Zheng - Information Fusion, 2018 - Elsevier
Microblog is a popular social network platform that facilitates users to collect and spread
information on the Internet, but on the other side it stimulates new forms of spammers, who …
information on the Internet, but on the other side it stimulates new forms of spammers, who …
A heterogeneous ensemble learning framework for spam detection in social networks with imbalanced data
C Zhao, Y Xin, X Li, Y Yang, Y Chen - Applied Sciences, 2020 - mdpi.com
The popularity of social networks provides people with many conveniences, but their rapid
growth has also attracted many attackers. In recent years, the malicious behavior of social …
growth has also attracted many attackers. In recent years, the malicious behavior of social …
A review on social spam detection: Challenges, open issues, and future directions
Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …
applications such as content sharing, chatting, making friends/followers, customer …
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 …
[HTML][HTML] Detecting spammers on social networks
Social network has become a very popular way for internet users to communicate and
interact online. Users spend plenty of time on famous social networks (eg, Facebook, Twitter …
interact online. Users spend plenty of time on famous social networks (eg, Facebook, Twitter …
SpamSpotter: an efficient spammer detection framework based on intelligent decision support system on facebook
Facebook is one of the most popular and leading social network services online. With the
increasing amount of users on Facebook, the probability of broadcasting spam content on it …
increasing amount of users on Facebook, the probability of broadcasting spam content on it …
An efficient deep learning-based scheme for web spam detection in IoT environment
From the last few years, Internet of Things has revolutionized the entire world. In this, various
smart objects perform the tasks of sensing and computing to provide uninterrupted services …
smart objects perform the tasks of sensing and computing to provide uninterrupted services …