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Dottorato di Ricerca in 
Information Technology and Electrical Engineering (ITEE)

 09-11-16-17-18/01/2024                   Ad hoc course

 

Title:  Hands-on Network Intrusion Detection via Machine and Deep Learning

 

 

Lecturer:  dr.  Antonio Montieri - DIETI-Unina 

 

Period:  09-11-16-17-18/01/2024

Assessment test:  TBD

 

Credits:  4 

Location:  SEMINAR ROOMS – Building 3 – DIETI department, Via Claudio, 21 – 80125 – Napoli

 

Participants are requested to join the following MS Teams group:

https://teams.microsoft.com/l/team/19%3a0sBXSWIpKiaWF9DrgTM9m02rFNEdKdNYQoUWk

LbfQDI1%40thread.tacv2/conversations?groupId=b142bcee-3089-4e9c-8c4d-3cf7b6da9755&te

nantId=2fcfe26a-bb62-46b0-b1e3-28f9da0c45fd

Team Code: j4sn9o2

Once accepted in the Teams group, students have to fill the following .xlsx file with their information (the .xlsx file can also be found within the Files of the Teams group):

https://communitystudentiunina.sharepoint.com/:x:/s/AdhocITEEPhDcourse-Hands-onNIDSvia MLandDL Dr.A.Montieri/EZedWSLR_b1ArkUSNvd9q4oB-lhL8GEKtQCzFh5B6rToQg?e=3C8odQ

The course is conducted on-site. However, students pursuing their PhD period abroad (for research purposes) have the option to request remote attendance for classes via MS Teams.

There will be a final assessment.

 

 

For information: Dr. Antonio Montieri (DIETI, UniNA) – Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

 

  Hands-on Network

 

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