MTD-Spamguard: a moving target defense-based spammer detection system in social network
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2976-x
Abstract: Machine learning classifiers are currently the state of the art for spammer detection tasks in SNSs. Note, however, that these classifiers fail to detect adaptive spammers that dynamically change their spamming strategies or behaviors and… read more here.
Keywords: spammer detection; detection system; machine learning; system ... See more keywords
Discovering social spammers from multiple views
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.11.013
Abstract: Online social networks have become popular platforms for spammers to spread malicious content and links. Existing state-of-the-art optimization methods mainly use one kind of user-generated information (i.e., single view) to learn a classification model for… read more here.
Keywords: spammer detection; information; multiple view; framework ... See more keywords
Social Spammer Detection via Convex Nonnegative Matrix Factorization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3171846
Abstract: With the increasing popularity of social network platforms such as Twitter and Sina Weibo, a lot of malicious users, also known as social spammers, disseminate illegal information to normal users. Several approaches are proposed to… read more here.
Keywords: information; spammer detection; social spammer; detection via ... See more keywords
Robust Spammer Detection Using Collaborative Neural Network in Internet-of-Things Applications
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3003802
Abstract: 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 intelligence-based detection and identification techniques… read more here.
Keywords: neural network; collaborative neural; internet things; spammer detection ... See more keywords
An Adaptive Social Spammer Detection Model With Semi-Supervised Broad Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3047857
Abstract: Mobile social networks include a large number of social members who forward messages cooperatively. However, spammers post links to viruses and advertisements, or follow a large number of users, which produces many misleading messages in… read more here.
Keywords: spammer detection; adaptive social; model; spammer ... See more keywords
An unsupervised method for social network spammer detection based on user information interests
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Big Data"
DOI: 10.1186/s40537-021-00552-5
Abstract: Online Social Networks (OSNs) are a popular platform for communication and collaboration. Spammers are highly active in OSNs. Uncovering spammers has become one of the most challenging problems in OSNs. Classification-based supervised approaches are the… read more here.
Keywords: spammer detection; detection based; social network; detection ... See more keywords