Designing a reengineered probiotic yeast to spontaneously degrade residual antibiotics in gut during antimicrobial therapy

Autor: He, Qian, Lin, Zhuoyu, Zhang, Xiaojing, Qin, Meilin, Huang, Yu, Liao, Xiaoping, Liu, Yahong, Ren, Hao, Sun, Jian

Publikováno v: In Journal of Cleaner Production 10 December 2024 483

TET-Yeasate: An engineered yeast whole-cell lysate-based approach for high performance tetracycline degradation

Autor: He, Qian, Lin, Zhuoyu, Qin, Meilin, Huang, Yu, Lu, Zhaoxiang, Zheng, Mei, Cui, Chaoyue, Li, Cang, Zhang, Xiaojing, Liao, Xiaoping, Liu, Yahong, Ren, Hao, Sun, Jian

Publikováno v: In Environment International September 2023 179

A learning evasive email-based P2P-like botnet

Autor: Chunfu Jia, Yong Ma, Zhi Wang, Qin Meilin, Mengqi Chen

Publikováno v: China Communications. 15:15-24

Nowadays, machine learning is widely used in malware detection system as a core component. The machine learning algorithm is designed under the assumption that all datasets follow the same underlying data distribution. But the real-world malware data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c56e3d45c8fab17a2472f1b028e4dfcc
https://doi.org/10.1109/cc.2018.8300268

Hiding Fast Flux Botnet in Plain Email Sight

Autor: Zhi Wang, Qin Meilin, Mengqi Chen, Chunfu Jia

Publikováno v: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319788159
ATCS/SePrIoT@SecureComm

Fast flux and domain flux are widely used as evading techniques to conceal botnet C&C server. But nowadays, more and more machine learning schemes are introduced to recognize and detect fluxing botnet automatically and effectively. In this paper, we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::227acb6dbb95111aa8e49be685e5cc1d
https://doi.org/10.1007/978-3-319-78816-6_14

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