Cargando…
Multimodal game bot detection using user behavioral characteristics
As the online service industry has continued to grow, illegal activities in the online world have drastically increased and become more diverse. Most illegal activities occur continuously because cyber assets, such as game items and cyber money in online games, can be monetized into real currency. T...
Autores principales: | Kang, Ah Reum, Jeong, Seong Hoon, Mohaisen, Aziz, Kim, Huy Kang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4844581/ https://www.ncbi.nlm.nih.gov/pubmed/27186487 http://dx.doi.org/10.1186/s40064-016-2122-8 |
Ejemplares similares
-
Detecting and classifying method based on similarity matching of Android malware behavior with profile
por: Jang, Jae-wook, et al.
Publicado: (2016) -
Adaptive Rehabilitation Bots in Serious Games †
por: Afyouni, Imad, et al.
Publicado: (2020) -
Game hacking: developing autonomous bots for online games
por: Cano, Nick
Publicado: (2016) -
DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data
por: Hayawi, Kadhim, et al.
Publicado: (2022) -
Analysis of Context Dependence in Social Interaction Networks of a Massively Multiplayer Online Role-Playing Game
por: Son, Seokshin, et al.
Publicado: (2012)