Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Abdelkader Ouda"'
Autor:
Sanket Vilas Salunke, Abdelkader Ouda
Publikováno v:
Future Internet, Vol 16, Iss 10, p 382 (2024)
This study highlights the necessity for efficient database management in continuous authentication systems, which rely on large-scale behavioral biometric data such as keystroke patterns. A benchmarking framework was developed to evaluate the Postgre
Externí odkaz:
https://doaj.org/article/bfc6397169b247469d173b5873f0e447
Publikováno v:
Computers, Vol 13, Iss 7, p 183 (2024)
This paper presents a comprehensive literature review on the evolution of data-lake technology, with a particular focus on data-lake architectures. By systematically examining the existing body of research, we identify and classify the major types of
Externí odkaz:
https://doaj.org/article/fac96d53e5b5454489c4d1350ccc5041
Autor:
Aisha Edrah, Abdelkader Ouda
Publikováno v:
Computers, Vol 13, Iss 7, p 159 (2024)
With our increasing reliance on technology, there is a growing demand for efficient and seamless access control systems. Smartphone-centric biometric methods offer a diverse range of potential solutions capable of verifying users and providing an add
Externí odkaz:
https://doaj.org/article/da715b5ea64e42e0a01ac5cc6b9f80fd
Authentication and Key Agreement Protocol in Hybrid Edge–Fog–Cloud Computing Enhanced by 5G Networks
Publikováno v:
Future Internet, Vol 16, Iss 6, p 209 (2024)
The Internet of Things (IoT) has revolutionized connected devices, with applications in healthcare, data analytics, and smart cities. For time-sensitive applications, 5G wireless networks provide ultra-reliable low-latency communication (URLLC) and f
Externí odkaz:
https://doaj.org/article/3c1f2f4dff864ddc9ae7b07615486a79
Autor:
Yazan Aref, Abdelkader Ouda
Publikováno v:
Future Internet, Vol 16, Iss 5, p 148 (2024)
In a world where digitization is rapidly advancing, the security and privacy of intra-domain communication within organizations are of critical concern. The imperative to secure communication channels among physical systems has led to the deployment
Externí odkaz:
https://doaj.org/article/876804c8d31f41179192065824eb079e
Autor:
Priya Bansal, Abdelkader Ouda
Publikováno v:
Computers, Vol 13, Iss 4, p 103 (2024)
This research article delves into the development of a reinforcement learning (RL)-based continuous authentication system utilizing behavioral biometrics for user identification on computing devices. Keystroke dynamics are employed to capture unique
Externí odkaz:
https://doaj.org/article/36f234e3a88e401ca4e034b6b0a74f54
Publikováno v:
Information, Vol 15, Iss 3, p 146 (2024)
The increasing significance of data analytics in modern information analysis is underpinned by vast amounts of user data. However, it is only feasible to amass sufficient data for various tasks in specific data-gathering contexts that either have lim
Externí odkaz:
https://doaj.org/article/f5f41a82f16e4121865a81d96dcd6080
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7126 (2023)
This paper addresses the challenges associated with machine translation of patents from English to Japanese. This translation poses unique difficulties due to their legal nature, distinguishing them from general Japanese-to-English translation. Furth
Externí odkaz:
https://doaj.org/article/32f8867c70c24dbba7a4dedc9f40dd23
Publikováno v:
Applied Sciences; Volume 13; Issue 12; Pages: 7126
This paper addresses the challenges associated with machine translation of patents from English to Japanese. This translation poses unique difficulties due to their legal nature, distinguishing them from general Japanese-to-English translation. Furth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::389400b9fdc2b112c1ce53d06f9952e1
Autor:
Yazan Aref, Abdelkader Ouda
Publikováno v:
2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c14a6a556d6088dc2bf84fd58f378b23
https://doi.org/10.1109/comsnets56262.2023.10041387
https://doi.org/10.1109/comsnets56262.2023.10041387