Zobrazeno 1 - 10
of 570
pro vyhledávání: '"Bot detection"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2550 (2024)
This article concerns the problem of distinguishing human-written and bot-generated texts. In contrast to the classical problem formulation, in which the focus falls on one type of bot only, we consider the problem of distinguishing texts written by
Externí odkaz:
https://doaj.org/article/e6dd9bfb28444520ae8ba76458d13ac8
Autor:
Shuhao Shi, Jian Chen, Zhengyan Wang, Yuxin Zhang, Yongmao Zhang, Chengqi Fu, Kai Qiao, Bin Yan
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-13 (2024)
Abstract Ensemble learning has the potential to enhance the efficacy of feeble classifiers significantly and is increasingly being utilized in Twitter bot detection. Previous methods have utilized stacking techniques to train the primary classifiers,
Externí odkaz:
https://doaj.org/article/5295f2ffc1eb431a9bc0a288ca70c28f
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-23 (2024)
Abstract Threats on computer networks have been increasing rapidly, and irresponsible parties are always trying to exploit vulnerabilities in the network to do various dangerous things. One way to exploit vulnerabilities in a computer network is by e
Externí odkaz:
https://doaj.org/article/c4cbe7e46a994c87a469c49ad21c2048
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract The rise of bots that mimic human behavior represents one of the most pressing threats to healthy information environments on social media. Many bots are designed to increase the visibility of low-quality content, spread misinformation, and
Externí odkaz:
https://doaj.org/article/05dbe9c2389b47d09c54a07d4e16d985
Publikováno v:
智能科学与技术学报, Pp 1-12 (2024)
Online social networks attract billions of active users and deeply influence people's lifestyles. However, as public social networks with low requirements for registration and joining, it is inevitable that social bots are able to easily register and
Externí odkaz:
https://doaj.org/article/e61cc04f0384430f8d8cc6f5a83ff75a
Autor:
Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Neluyb, Aleksei S. Borodulin
Publikováno v:
IEEE Access, Vol 12, Pp 56707-56718 (2024)
This paper introduces a novel approach for the detection of automated entities in online environments through the analysis of mouse dynamics. Leveraging fractional derivatives and vector cross products, our methodology scrutinizes the intricate patte
Externí odkaz:
https://doaj.org/article/76183ae97e0f4da5a1932a0ccec7c4a7
Autor:
Kayhan Zrar Ghafoor
Publikováno v:
Polytechnic, Vol 12, Iss 2, Pp 219-228 (2023)
In the past decade social media platforms growing rapidly and they are part of our routine life. Each platform has its own specification which uses for specific purposes. After this widely spread, those SMPs were targeted by the cybercriminals to cas
Externí odkaz:
https://doaj.org/article/1ead63c11fca4f3c9eb6b0189e233172
Publikováno v:
EPJ Data Science, Vol 12, Iss 1, Pp 1-22 (2023)
Abstract Malicious actors exploit social media to inflate stock prices, sway elections, spread misinformation, and sow discord. To these ends, they employ tactics that include the use of inauthentic accounts and campaigns. Methods to detect these abu
Externí odkaz:
https://doaj.org/article/70442f2b97e941a9a2a2b9914d09a4d7
Publikováno v:
IEEE Access, Vol 11, Pp 62616-62629 (2023)
Botnets continue to evolve despite many efforts by law enforcement agencies and security researchers. As a result, there is an increase in the number of cybercrimes. This has led to a greater research focus on botnet detection. Among the reasons for
Externí odkaz:
https://doaj.org/article/01af21ace78c417499a471fb016c700f
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 13113-13132 (2023)
Disinformation refers to false rumors deliberately fabricated for certain political or economic conspiracies. So far, how to prevent online disinformation propagation is still a severe challenge. Refutation, media censorship, and social bot detection
Externí odkaz:
https://doaj.org/article/682b2bd308ea4527a6cdb530355a8f48