Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Francesca Soro"'
Autor:
Francesca Soro, Thomas Favale, Danilo Giordano, Idilio Drago, Tommaso Rescio, Marco Mellia, Zied Ben Houidi, Dario Rossi
Publikováno v:
IEEE Transactions on Network and Service Management. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d9e7dff60071a1e792671155934a55b
https://doi.org/10.1109/tnsm.2023.3267671
https://doi.org/10.1109/tnsm.2023.3267671
Publikováno v:
SP Workshops
Having a clear insight on the protocols carrying traffic is crucial for network applications. Deep Packet Inspection (DPI) has been a key technique to provide visibility into traffic. DPI has proven effective in various scenarios, and indeed several
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4ba902e415ae1df234eeea85ffef97a
http://hdl.handle.net/2318/1805199
http://hdl.handle.net/2318/1805199
Publikováno v:
Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning
Anomaly detection aims at finding unexpected patterns in data. It has been used in several problems in computer networks, from the detection of port scans and distributed denial‐of‐service (DDoS) attacks to the monitoring of time series collected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::016de413057e4dfa16b3bc3a22185aaf
http://hdl.handle.net/2318/1805838
http://hdl.handle.net/2318/1805838
Publikováno v:
2020 Mediterranean Communication and Computer Networking Conference (MedComNet)
Web of Science
MedComNet
Web of Science
MedComNet
Darknets are ranges of IP addresses advertised without answering any traffic. Darknets help to uncover interesting network events, such as misconfigurations and network scans. Interpreting darknet traffic helps against cyber-attacks – e.g., malware
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b80d33d9158fc6226bf86e764046dda1
https://research.utwente.nl/en/publications/55353ad0-cfe8-4f41-9b84-3113d05ba3d4
https://research.utwente.nl/en/publications/55353ad0-cfe8-4f41-9b84-3113d05ba3d4
Publikováno v:
ACM SIGCOMM Computer Communication Review
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Knowing domain names associated with traffic allows eavesdroppers to profile users without accessing packet payloads. Encrypting domain names transiting the network is, therefore, a key step to increase network confidentiality. Latest efforts include
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5633b42c347bdda7ea69a81a9425f36
http://hdl.handle.net/11583/2841242
http://hdl.handle.net/11583/2841242
Publikováno v:
Computer Networks
The COVID-19 pandemic led to the adoption of severe measures to counteract the spread of the infection. Social distancing and lockdown measures modifies people's habits, while the Internet gains a major role to support remote working, e-teaching, onl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e152abc711fdeed2db079ff538b4704
https://doi.org/10.1016/j.comnet.2020.107290
https://doi.org/10.1016/j.comnet.2020.107290
Publikováno v:
CloudNet
The complexity of the Internet and the volume of network traffic have dramatically increased in the last few years, making it more challenging to design scalable Network Traffic Monitoring and Analysis (NTMA) systems. Critical NTMA applications such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::170c324959b363797d772b07c7db8227
https://doi.org/10.1109/cloudnet.2017.8071525
https://doi.org/10.1109/cloudnet.2017.8071525
Publikováno v:
Politecnico di Torino-IRIS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f4b95be298ce8770bbe0aa3af8664df0
https://iris.polito.it/handle/11583/2821832
https://iris.polito.it/handle/11583/2821832