Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Qutaibah M. Malluhi"'
Autor:
Naheel Faisal Kamal, Abdulla Khalid Al-Ali, Abdulaziz Al-Ali, Sertac Bayhan, Qutaibah M. Malluhi
Publikováno v:
IEEE Access, Vol 11, Pp 95358-95367 (2023)
Smart meters are continuously being deployed in several countries as a step in the direction of modernizing the power grid. Smart meters allow for automatic electricity consumption reporting to energy providers to facilitate billing and demand-based
Externí odkaz:
https://doaj.org/article/947d8d0900a74589b67dff277aee3c92
Autor:
Naram Mhaisen, Qutaibah M. Malluhi
Publikováno v:
IEEE Access, Vol 8, Pp 164977-164986 (2020)
Multi-cloud storage systems are becoming more popular due to the ever-expanding amount of consumer data. This growth is accompanied by increasing concerns regarding security, privacy, and reliability of cloud storage solutions. Ensuring data consiste
Externí odkaz:
https://doaj.org/article/ed0734615d7340f4b851fe5d2e736451
Publikováno v:
IEEE Access, Vol 8, Pp 179845-179856 (2020)
Could we detect anomalies during the run-time of a program by learning from the analysis of its previous traces for normally completed executions? In this paper we create a featured data set from program traces at run time, either during its regular
Externí odkaz:
https://doaj.org/article/114e320ca7cf488a990d7436559c6f82
Autor:
Mingjie Tang, Yongyang Yu, Ahmed R. Mahmood, Qutaibah M. Malluhi, Mourad Ouzzani, Walid G. Aref
Publikováno v:
Frontiers in Big Data, Vol 3 (2020)
Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. In this paper, we present new techniques for spatial
Externí odkaz:
https://doaj.org/article/132a5bfddb354e36b877016d7b7321c0
Publikováno v:
2023 IEEE Texas Power and Energy Conference (TPEC).
Publikováno v:
Security and Communication Networks, Vol 2020 (2020)
Private Function Evaluation (PFE) is the problem of evaluating one party’s private data using a private function owned by another party. Existing solutions for PFE are based on universal circuits evaluated in secure multiparty computations or on hi
Autor:
Yongge Wang, Qutaibah M. Malluhi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031223891
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72c736eabdffcdedafc2db37db8f6cf7
https://doi.org/10.1007/978-3-031-22390-7_1
https://doi.org/10.1007/978-3-031-22390-7_1
Publikováno v:
BioData mining. 15(1)
Background Early identification of pregnant women at risk for preterm birth (PTB), a major cause of infant mortality and morbidity, has a significant potential to improve prenatal care. However, we lack effective predictive models which can accuratel
Publikováno v:
WF-IoT
IoT systems commonly rely on cloud services. However, utilizing cloud providers can be problematic in terms of data security. Data stored in the cloud need to be secured from unauthorized malicious nodes and from the cloud providers themselves. Using
Publikováno v:
IEEE Transactions on Cloud Computing. 7:827-837
This paper addresses the problem of sharing person-specific genomic sequences without violating the privacy of their data subjects to support large-scale biomedical research projects. The proposed method builds on the framework proposed by Kantarciog