Results 41 to 50 of about 7,753,315 (190)
MethodsX, 2023 There has been a tremendous increase in the popularity of social media such as blogs, Instagram, twitter, online websites etc. The increasing utilization of these platforms have enabled the users to share information on a regular basis and also publicize
Monikka Reshmi Sethurajan +1 more
doaj +1 more source
Overhead Analysis and Evaluation of Approaches to Host-Based Bot Detection
International Journal of Distributed Sensor Networks, 2015 Host-based bot detection approaches discover malicious bot processes by signature comparison or behavior analysis. Existing approaches have low performance which has become a bottleneck blocking its wider deployment.
Yuede Ji, Qiang Li, Yukun He, Dong Guo
doaj +1 more source
SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection [PDF]
Knowledge Discovery and Data MiningRecent advancements in social bot detection have been driven by the adoption of Graph Neural Networks. The social graph, constructed from social network interactions, contains benign and bot accounts that influence each other.
Ying-Guang Yang +6 more
semanticscholar +1 more source
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-supervised GNN Architecture Search [PDF]
ACM Transactions on the Web, 2022 Social bots are referred to as the automated accounts on social networks that make attempts to behave like humans. While Graph Neural Networks (GNNs) have been massively applied to the field of social bot detection, a huge amount of domain expertise and ...
Ying-Guang Yang +7 more
semanticscholar +1 more source
A genomic rule-based KNN model for fast flux botnet detection
Egyptian Informatics Journal, 2023 Fast Flux Botnet (FFB) is an advance method developed by cyber criminals to perpetrate distributed malicious attacks. The major problems of existing FFB detection systems are the vulnerability to evasion mechanisms, long detection time, and high ...
Femi Emmanuel Ayo +4 more
doaj +1 more source
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection [PDF]
International Conference on Information and Knowledge Management, 2021 Twitter has become a major social media platform since its launching in 2006, while complaints about bot accounts have increased recently. Although extensive research efforts have been made, the state-of-the-art bot detection methods fall short of ...
Shangbin Feng +4 more
semanticscholar +1 more source
BotBuster: Multi-Platform Bot Detection Using a Mixture of Experts
, 2023 Despite rapid development, current bot detection models still face challenges in dealing with incomplete data and cross-platform applications. In this paper, we propose BotBuster, a social bot detector built with the concept of a mixture of experts ...
Kathleen M. Carley +3 more
core +1 more source
BDGOA: A bot detection approach for GitHub OAuth Apps
Intelligent and Converged Networks, 2023 As various software bots are widely used in open source software repositories, some drawbacks are coming to light, such as giving newcomers non-positive feedback and misleading empirical studies of software engineering researchers.
Zhifang Liao +4 more
doaj +1 more source
Machine learning-based social media bot detection: a comprehensive literature review
Social Network Analysis and Mining, 2023 In today’s digitalized era, Online Social Networking platforms are growing to be a vital aspect of each individual’s daily life. The availability of the vast amount of information and their open nature attracts the interest of cybercriminals to create ...
M. Aljabri +5 more
semanticscholar +1 more source
ETS-MM: A Multi-Modal Social Bot Detection Model Based on Enhanced Textual Semantic Representation
The Web ConferenceSocial bots are becoming increasingly common in social networks, and their activities affect the security and authenticity of social media platforms.
Wei Li +5 more
semanticscholar +1 more source