Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Jyh-Biau Chang"'
Publikováno v:
IEEE Access, Vol 12, Pp 69397-69409 (2024)
Botnets pose a significant challenge to network security but are difficult to detect because of their dynamic and evolving nature, which limits the effectiveness of conventional supervised neural network detection methods. To address this problem, th
Externí odkaz:
https://doaj.org/article/2b4fe54447134cb98640894fe190c6dc
Autor:
Jyh-Biau Chang, 張志標
93
A transparent distributed shared memory (DSM) system must achieve complete transparency in data distribution, workload distribution, and reconfiguration respectively. The transparency of data distribution allows programmers to be able to acce
A transparent distributed shared memory (DSM) system must achieve complete transparency in data distribution, workload distribution, and reconfiguration respectively. The transparency of data distribution allows programmers to be able to acce
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/32046475276932219860
Autor:
Jyh-Biau Chang, 張志標
84
In this thesis, efforts are devoted to the design and implementation of a user-level multi-threaded distributed shared memory system. This DSM system is built on a cluster of PCs connected by network and running the SUN Solaris 2.4 operating
In this thesis, efforts are devoted to the design and implementation of a user-level multi-threaded distributed shared memory system. This DSM system is built on a cluster of PCs connected by network and running the SUN Solaris 2.4 operating
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/38548620024272036878
Publikováno v:
2022 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45c7a7cd556248f4089305c9146d51c7
https://doi.org/10.1109/rasse54974.2022.9989814
https://doi.org/10.1109/rasse54974.2022.9989814
Autor:
Ce-Kuen Shieh, Yu En Zhang, Pin Hao Chen, Chun Yu Wang, Feng Min Cho, Chi Lung Ou, Jyh Biau Chang
Publikováno v:
Computer Networks. 145:175-189
This study presents a session-based P2P botnet clustering system implemented on MapReduce for aggregating malicious hosts within NetFlow traffic logs. The proposed botnet detection system, designated as BotCluster, merges the unidirectional records o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecb0213e5065e5274562aa63f22d2a9c
https://doi.org/10.1016/j.comnet.2018.08.014
https://doi.org/10.1016/j.comnet.2018.08.014
Autor:
Chun-Yu Wang, Ce-Kuen Shieh, Jyh-Biau Chang, Ta-Chun Lo, Shih-Hao Fuh, Feng-Min Cho, Yu-Cheng Chen, Qi-Jun Cheng
Publikováno v:
BDCAT
Big data analytics helps us to find potentially valuable knowledge, but as the size of the dataset increases, the computing cost also grows exponentially. In our previous work, BotCluster, we had designed a pre-processing filtering pipeline, includin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::927ca2445b8ff2affb3a472fe701f8e6
https://doi.org/10.1145/3365109.3368778
https://doi.org/10.1145/3365109.3368778
Publikováno v:
International Journal of Grid and High Performance Computing. 5:54-71
Efficient information sharing is difficult to achieve in the scenario of emergency and rescue operations because there is no communication infrastructure at the disaster sites. In general, the network condition is relatively reliable in the intra-sit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da2af66f88aad1362e6287b95d766535
https://doi.org/10.4018/jghpc.2013040104
https://doi.org/10.4018/jghpc.2013040104
Publikováno v:
Future Generation Computer Systems. 27:843-849
This paper presents a grid-enabled MapReduce framework called ''Ussop''. Ussop provides its users with a set of C-language based MapReduce APIs and an efficient runtime system for exploiting the computing resources available on public-resource grids.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4f23fb4202581d42025aa723a861309
https://doi.org/10.1016/j.future.2010.09.001
https://doi.org/10.1016/j.future.2010.09.001
Publikováno v:
Concurrency and Computation: Practice and Experience. 22:2488-2513
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9e575279e091bcd41d15b2a56e2dc63
https://doi.org/10.1002/cpe.1587
https://doi.org/10.1002/cpe.1587
Publikováno v:
Future Generation Computer Systems. 26:668-677
Sharing scientific and data capture files of gigabyte and terabyte size in conventional data grid systems is inefficient because conventional approaches copy the entire shared file to a user's local storage even when only a tiny file fragment is requ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ad1410c1888c84e1a57e0b25ff32c33
https://doi.org/10.1016/j.future.2009.12.008
https://doi.org/10.1016/j.future.2009.12.008