Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Ehsan Hallaji"'
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8840 (2024)
Malware triage is essential for the security of cyber-physical systems, particularly against Advanced Persistent Threats (APTs). Proper data for this task, however, are hard to come by, as organizations are often reluctant to share their network data
Externí odkaz:
https://doaj.org/article/e2363a34eae44860bd152ac6832a6947
Publikováno v:
IEEE Access, Vol 9, Pp 73641-73650 (2021)
The scarcity of liver transplants necessitates prioritizing patients based on their health condition to minimize deaths on the waiting list. Recently, machine learning methods have gained popularity for automatizing liver transplant allocation system
Externí odkaz:
https://doaj.org/article/e2a24bc71f004893b0ea5d8074d00977
Publikováno v:
Electrical and Computer Engineering Publications
Many efforts have been dedicated to addressing data loss in various domains. While task-specific solutions may eliminate the respective issue in certain applications, finding a generic method for missing data estimation is rather complex. In this reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6eb9bb196bd6ae208accf4b9a066da1d
https://doi.org/10.1109/tcyb.2021.3054878
https://doi.org/10.1109/tcyb.2021.3054878
Publikováno v:
Electrical and Computer Engineering Publications
Data decentralization and privacy constraints in federated learning systems withhold user data from the server. As a result, intruders can take advantage of this privacy feature by corrupting the federated network using forged updates obtained on mal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7986918f6c1d3c2c42ce13b3d52a49e
https://scholar.uwindsor.ca/electricalengpub/187
https://scholar.uwindsor.ca/electricalengpub/187
Publikováno v:
Electrical and Computer Engineering Publications
This paper presents a novel data-driven framework to aid in system state estimation when the power system is under unobservable false data injection attacks. The proposed framework dynamically detects and classifies false data injection attacks. Then
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad9c0260399ca946eff5ddca8a3ae67d
https://scholar.uwindsor.ca/electricalengpub/184
https://scholar.uwindsor.ca/electricalengpub/184
Publikováno v:
Electrical and Computer Engineering Publications
This paper proposes a novel adversarial scheme for learning from data under harsh learning conditions of partially labelled samples and skewed class distributions. This novel scheme integrates the generative ability of the state-of-the-art conditiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91cdb907f0fb4677ed48f7ba51ad0518
https://doi.org/10.1109/tsg.2021.3061395
https://doi.org/10.1109/tsg.2021.3061395
Publikováno v:
IEEE Access, Vol 9, Pp 73641-73650 (2021)
Electrical and Computer Engineering Publications
Electrical and Computer Engineering Publications
The scarcity of liver transplants necessitates prioritizing patients based on their health condition to minimize deaths on the waiting list. Recently, machine learning methods have gained popularity for automatizing liver transplant allocation system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddd7c4769f3759d1b1447907018a143e
https://ieeexplore.ieee.org/document/9432931/
https://ieeexplore.ieee.org/document/9432931/
Publikováno v:
IECON
Electrical and Computer Engineering Publications
Electrical and Computer Engineering Publications
The performance of intrusion classification systems is often hampered by the presence of missing values in data collected from cyber-physical systems. Therefore, it is of paramount importance to robustly handle such missing scores, which in turn enha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2720fa77e3f8a145d02759a643c42b4d
https://doi.org/10.1109/iecon48115.2021.9589513
https://doi.org/10.1109/iecon48115.2021.9589513
Publikováno v:
Electrical and Computer Engineering Publications
In cyber-physical systems, transforming a large amount of data collected from various sensors onto informative low-dimension data is of paramount importance for efficient monitoring and safe and secure operation of the system. To this aim, this paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdecb089d1c07505527b524586a00281
https://scholar.uwindsor.ca/electricalengpub/89
https://scholar.uwindsor.ca/electricalengpub/89
Publikováno v:
Explainable AI Within the Digital Transformation and Cyber Physical Systems ISBN: 9783030764081
Supervisory control and data acquisition (SCADA) systems are often imperiled by cyber-attacks. Such threats can be detected using an intrusion detection system (IDS). However, the performance and efficiency of IDS can be affected by a number of facto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::047802713163ed6bbb7de84bd9eb9258
https://doi.org/10.1007/978-3-030-76409-8_8
https://doi.org/10.1007/978-3-030-76409-8_8