Zobrazeno 1 - 10
of 6 392
pro vyhledávání: '"Siracusa, A."'
Autor:
Magnani, Simone, Nedoshivina, Liubov, Doriguzzi-Corin, Roberto, Braghin, Stefano, Siracusa, Domenico
The widespread adoption of cloud computing, edge, and IoT has increased the attack surface for cyber threats. This is due to the large-scale deployment of often unsecured, heterogeneous devices with varying hardware and software configurations. The d
Externí odkaz:
http://arxiv.org/abs/2407.13043
Cyber deception allows compensating the late response of defenders countermeasures to the ever evolving tactics, techniques, and procedures (TTPs) of attackers. This proactive defense strategy employs decoys resembling legitimate system components to
Externí odkaz:
http://arxiv.org/abs/2404.12783
Kubernetes (K8s) has grown in popularity over the past few years to become the de-facto standard for container orchestration in cloud-native environments. While research is not new to topics such as containerization and access control security, the A
Externí odkaz:
http://arxiv.org/abs/2401.10582
Publikováno v:
2024 27th Conference on Innovation in Clouds, Internet and Networks (ICIN), pp. 65-72
Multi-cloud systems facilitate a cost-efficient and geographically-distributed deployment of microservice-based applications by temporary leasing virtual nodes with diverse pricing models. To preserve the cost-efficiency of multi-cloud deployments, i
Externí odkaz:
http://arxiv.org/abs/2401.01408
Autor:
Chalchat, Emeric, Siracusa, Julien, Peñailillo, Luis, Malgoyre, Alexandra, Bourrilhon, Cyprien, Charlot, Keyne, Martin, Vincent, Garcia-Vicencio, Sebastian
The aim of this study was to compare vastus lateralis (VL) and rectus femoris (RF) muscles for their nervous and mechanical adaptations during two bouts of downhill walking (DW) with load carriage performed two weeks apart. Moreover, we investigated
Externí odkaz:
http://arxiv.org/abs/2309.09554
Autor:
Manal Ahmad, Abdulla Mohamed, Dimitri Amiras, Francesca Siracusa, Joseph Shalhoub, Alun Huw Davies
Publikováno v:
Clinical Diabetes and Endocrinology, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract Introduction Sarcopenia is defined by low measures of muscle quantity, quality and reduced physical performance. It is associated with higher levels of frailty. Individuals with diabetes mellitus (DM) undergo sarcopenia at an accelerated rat
Externí odkaz:
https://doaj.org/article/63c2744693d84cc7bd14c1185980510f
Introducing Packet-Level Analysis in Programmable Data Planes to Advance Network Intrusion Detection
Autor:
Doriguzzi-Corin, Roberto, Knob, Luis Augusto Dias, Mendozzi, Luca, Siracusa, Domenico, Savi, Marco
Programmable data planes offer precise control over the low-level processing steps applied to network packets, serving as a valuable tool for analysing malicious flows in the field of intrusion detection. Albeit with limitations on physical resources
Externí odkaz:
http://arxiv.org/abs/2307.05936
Sparse matrix computation is crucial in various modern applications, including large-scale graph analytics, deep learning, and recommender systems. The performance of sparse kernels varies greatly depending on the structure of the input matrix, makin
Externí odkaz:
http://arxiv.org/abs/2304.06944
Cyber deception can be a valuable addition to traditional cyber defense mechanisms, especially for modern cloud-native environments with a fading security perimeter. However, pre-built decoys used in classical computer networks are not effective in d
Externí odkaz:
http://arxiv.org/abs/2303.03151
Autor:
Ellen M. Hong, Rami Atoot, Megan E. Decker, Alexander C. Ekwueme, Cairo Stanislaus, Tadé Ayeni, Christopher P. Duffy, Allison E. Piazza, Mariela Mitre, Linda D. Siracusa, Jennifer F. Zepf
Publikováno v:
Journal of the Medical Library Association, Vol 112, Iss 4 (2024)
Background: A shortage of images of pathology on diverse skin tones has been recognized for decades in health professions education. Identifying skin manifestations of disease depends on pattern recognition, which is difficult without visual examples
Externí odkaz:
https://doaj.org/article/02784968d9774a7d884edcf50c1617c3