Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Alsharif Abuadbba"'
Autor:
Chandra Thapa, Jun Wen Tang, Alsharif Abuadbba, Yansong Gao, Seyit Camtepe, Surya Nepal, Mahathir Almashor, Yifeng Zheng
Publikováno v:
Sensors, Vol 23, Iss 9, p 4346 (2023)
The use of artificial intelligence (AI) to detect phishing emails is primarily dependent on large-scale centralized datasets, which has opened it up to a myriad of privacy, trust, and legal issues. Moreover, organizations have been loath to share ema
Externí odkaz:
https://doaj.org/article/88e5af244f0c4f2787df4021478b5f5b
Publikováno v:
Sensors, Vol 21, Iss 2, p 537 (2021)
One of the major concerns in wireless sensor networks (WSNs) is most of the sensor nodes are powered through limited lifetime of energy-constrained batteries, which majorly affects the performance, quality, and lifetime of the network. Therefore, div
Externí odkaz:
https://doaj.org/article/a8972b72494446fda72820cf3d548bf0
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. :1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51db58536b8911e4dadeb88d18c37362
https://doi.org/10.1109/tits.2023.3275077
https://doi.org/10.1109/tits.2023.3275077
Publikováno v:
IEEE Transactions on Sustainable Computing. 8:32-42
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3fe193a7c6d0e9b10a64b03e3d321f5
https://doi.org/10.1109/tsusc.2022.3211298
https://doi.org/10.1109/tsusc.2022.3211298
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:3460-3477
The diversity and quantity of data warehouses, gathering data from distributed devices such as mobile devices, can enhance the success and robustness of machine learning algorithms. Federated learning enables distributed participants to collaborative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56ecc5a44bc2a2a14ffabcac71530de1
https://doi.org/10.1109/tpds.2022.3157258
https://doi.org/10.1109/tpds.2022.3157258
Publikováno v:
IEEE Internet of Things Journal. 9:12209-12218
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e79a0c3eb7499f08df3c6b95d4f252c
https://doi.org/10.1109/jiot.2021.3134693
https://doi.org/10.1109/jiot.2021.3134693
Publikováno v:
Future Generation Computer Systems. 127:473-486
Differential privacy (DP) remains a potent solution to what is arguably the defining issue in machine learning: balancing user privacy with an ever-increasing need for data. Practitioners must respect privacy, especially in sensitive healthcare domai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::681b4078e8e6ec796adebcde12c147ae
https://doi.org/10.1016/j.future.2021.09.013
https://doi.org/10.1016/j.future.2021.09.013
Publikováno v:
IEEE Transactions on Information Forensics and Security. 17:1099-1114
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8132e6fea3256acf726b0fa20dc8edf1
https://doi.org/10.1109/tifs.2022.3155975
https://doi.org/10.1109/tifs.2022.3155975
Autor:
Shuo Wang, Mahathir Almashor, Alsharif Abuadbba, Ruoxi Sun, Minhui Xue, Calvin Wang, Raj Gaire, Surya Nepal, Seyit Camtepe
Publikováno v:
Proceedings 2023 Network and Distributed System Security Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62827089f28b9a709855ccf1a8dffcda
https://doi.org/10.14722/ndss.2023.24322
https://doi.org/10.14722/ndss.2023.24322
Location trajectories collected by smartphones and other devices represent a valuable data source for applications such as location-based services. Likewise, trajectories have the potential to reveal sensitive information about individuals, e.g., rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87c0c8af551b8065f81bc66aa6d36473
http://arxiv.org/abs/2210.09375
http://arxiv.org/abs/2210.09375
