Zobrazeno 1 - 10
of 360
pro vyhledávání: '"P. Nicolazzo"'
Autor:
Arikkat, Dincy R., Cihangiroglu, Mert, Conti, Mauro, A., Rafidha Rehiman K., Nicolazzo, Serena, Nocera, Antonino, P, Vinod
The rise of IT-dependent operations in modern organizations has heightened their vulnerability to cyberattacks. As a growing number of organizations include smart, interconnected devices in their systems to automate their processes, the attack surfac
Externí odkaz:
http://arxiv.org/abs/2406.14102
Vertical Federated Learning (VFL) is a category of Federated Learning in which models are trained collaboratively among parties with vertically partitioned data. Typically, in a VFL scenario, the labels of the samples are kept private from all the pa
Externí odkaz:
http://arxiv.org/abs/2404.12369
Publikováno v:
Journal of Information Security and Applications 2024
The novel Internet of Things (IoT) paradigm is composed of a growing number of heterogeneous smart objects and services that are transforming architectures and applications, increasing systems' complexity, and the need for reliability and autonomy. I
Externí odkaz:
http://arxiv.org/abs/2404.03276
A Service Level Agreement (SLA) is a formal contract between a service provider and a consumer, representing a crucial instrument to define, manage, and maintain relationships between these two parties. The SLA's ability to define the Quality of Serv
Externí odkaz:
http://arxiv.org/abs/2405.00009
Autor:
M., Sameera K., Nicolazzo, Serena, Arazzi, Marco, Nocera, Antonino, A., Rafidha Rehiman K., P, Vinod, Conti, Mauro
Publikováno v:
computer-communications/2024
Federated Learning (FL) has recently arisen as a revolutionary approach to collaborative training Machine Learning models. According to this novel framework, multiple participants train a global model collaboratively, coordinating with a central aggr
Externí odkaz:
http://arxiv.org/abs/2401.03552
Autor:
Arazzi, Marco, Arikkat, Dincy R., Nicolazzo, Serena, Nocera, Antonino, A., Rafidha Rehiman K., P., Vinod, Conti, Mauro
In the digital era, threat actors employ sophisticated techniques for which, often, digital traces in the form of textual data are available. Cyber Threat Intelligence~(CTI) is related to all the solutions inherent to data collection, processing, and
Externí odkaz:
http://arxiv.org/abs/2311.08807
A Novel IoT Trust Model Leveraging Fully Distributed Behavioral Fingerprinting and Secure Delegation
With the number of connected smart devices expected to constantly grow in the next years, Internet of Things (IoT) solutions are experimenting a booming demand to make data collection and processing easier. The ability of IoT appliances to provide pe
Externí odkaz:
http://arxiv.org/abs/2310.00953
Autor:
Valentina Magri, Luca Marino, Francesco Del Giudice, Michela De Meo, Marco Siringo, Ettore De Berardinis, Orietta Gandini, Daniele Santini, Chiara Nicolazzo, Paola Gazzaniga
Publikováno v:
Biomedicines, Vol 12, Iss 10, p 2359 (2024)
Non-muscle-invasive bladder cancer (NMIBC) prognosis varies significantly due to the biological and clinical heterogeneity. High-risk stage T1-G3, comprising 15–20% of NMIBCs, involves the lamina propria and is associated with higher rates of recur
Externí odkaz:
https://doaj.org/article/51754a1f9a66463ba92460fba2e2ce08
Autor:
Senthil Lingaratnam, Mahek Shah, Joseph Nicolazzo, Michael Michael, John F. Seymour, Paul James, Smaro Lazarakis, Sherene Loi, Carl M. J. Kirkpatrick
Publikováno v:
Clinical and Translational Science, Vol 17, Iss 5, Pp n/a-n/a (2024)
Abstract The clinical application of Pharmacogenomics (PGx) has improved patient safety. However, comprehensive PGx testing has not been widely adopted in clinical practice, and significant opportunities exist to further optimize PGx in cancer care.
Externí odkaz:
https://doaj.org/article/dde6ca2c8480408196a912a6cc85e928
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