Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Emiliano Casalicchio"'
Autor:
Javid Misirli, Emiliano Casalicchio
Publikováno v:
Future Internet, Vol 16, Iss 1, p 16 (2023)
The Internet of Things (IoT) uptake brought a paradigm shift in application deployment. Indeed, IoT applications are not centralized in cloud data centers, but the computation and storage are moved close to the consumers, creating a computing continu
Externí odkaz:
https://doaj.org/article/735c6fbbea104aa3815768af1492601d
Autor:
Valeria Cardellini, Emiliano Casalicchio, Stefano Iannucci, Matteo Lucantonio, Sudip Mittal, Damodar Panigrahi, Andrea Silvi
Publikováno v:
SoftwareX, Vol 19, Iss , Pp 101120- (2022)
Intrusion Response is a relatively new field of research. Recent approaches for the creation of Intrusion Response Systems (IRSs) use Reinforcement Learning (RL) as a primary technique for the optimal or near-optimal selection of the proper counterme
Externí odkaz:
https://doaj.org/article/23cc89287b8c40f4bfce1aa421fa8e8b
Publikováno v:
Future Internet, Vol 14, Iss 12, p 377 (2022)
Federated Learning (FL) provides a promising solution for preserving privacy in learning shared models on distributed devices without sharing local data on a central server. However, most existing work shows that FL incurs high communication costs. T
Externí odkaz:
https://doaj.org/article/a1d8fcde03a240b28697ca840c966945
Publikováno v:
Sensors, Vol 22, Iss 15, p 5544 (2022)
Recent advances in sensor technology are expected to lead to a greater use of wireless sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances in artificial intelligence (AI), machine learning (ML), and deep learni
Externí odkaz:
https://doaj.org/article/349db6cdcc584e2da1fb47b7b1b2d8b3
Autor:
Veselka Boeva, Emiliano Casalicchio, Shahrooz Abghari, Ahmed Abbas Mohsin Al-Saedi, Vishnu Manasa Devagiri, Andrej Petef, Peter Exner, Anders Isberg, Mirza Jasarevic
Publikováno v:
Annals of Computer Science and Information Systems.
Publikováno v:
Future Generation Computer Systems. 123:178-180
Given the always increasing size of computer systems, manually protecting them in case of attacks is unfeasible and error-prone. For this reason, a new body of work is emerging specifically to address the run-time protection of computer systems. One
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783031083365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::623a4c2d0755837b01c14b4a3717c350
https://doi.org/10.1007/978-3-031-08337-2_36
https://doi.org/10.1007/978-3-031-08337-2_36
Autor:
Valeria Cardellini, Emiliano Casalicchio, Stefano Iannucci, Matteo Lucantonio, Sudip Mittal, Damodar Panigrahi, Andrea Silvi
Publikováno v:
SSRN Electronic Journal.
Intrusion Response is a relatively new field of research. Recent approaches for the creation of Intrusion Response Systems (IRSs) use Reinforcement Learning (RL) as a primary technique for the optimal or near-optimal selection of the proper counterme
Training of machine learning models in a Datacenter, with data originated from edge nodes, incurs high communication overheads and violates a user's privacy. These challenges may be tackled by employing Federated Learning (FL) machine learning techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b641c271b09be1bfc27647672b662e17
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-22237
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-22237
Publikováno v:
FiCloud
The successful convergence of Internet of Things (IoT) technology and distributed machine learning have leveraged to realise the concept of Federated Learning (FL) with the collaborative efforts of a large number of low-powered and small-sized edge n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b34ba408d136457d05f810f6c29e15a7
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-22236
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-22236