AGENDA
\n\n
Koen Pieter Tange: rTLS: Making TLS more friendly for IoT
\nThe Transport Security layer has grown out to be the most widely used security protocol ever. Originally designed for the Web, it can now also be seen games, industry, and even IoT. This makes it easy to assume that the TLS protocol is optimized for many use-cases. In reality, however, it is still very much designed with the Web in mind. This results in (the lacking of) security properties that you might want to have in IoT, and sometimes even completely useless functionality. In my research, I try explore where the pain points for IoT are, and propose TLS extensions that make it more suitable for IoT devices.
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Sam Afzal-Houshmand: Fake Sequential Data Detection: Deep Learning Towards Enhanced Data Trustworthiness
\nThis presentation is about mitigating colluding adversaries while at the same time efficiently managing high influx of incoming user data. The solutions proposed by me is a hybrid use of Deep Learning schemes and conventional Machine Learning classifiers for detecting and filtering out false datapoints.
\nHOW TO ATTEND
\nZoom link: https://dtudk.zoom.us/j/63718330952
\n\n
Meeting ID: 637 1833 0952
\nOne tap mobile
\n+4547372575,,63718330952# Denmark
\n+4589883788,,63718330952# Denmark
\n\n
Dial by your location
\n+45 47 37 25 75 Denmark
\n+45 89 88 37 88 Denmark
\n+45 32 70 12 06 Denmark
\n+45 32 71 31 57 Denmark
\n+45 32 72 80 10 Denmark
\n+45 32 72 80 11 Denmark
\nMeeting ID: 637 1833 0952
\nFind your local number: https://dtudk.zoom.us/u/cLTd72Ouf
\n\n
Join by SIP
\n63718330952@109.105.112.236
\n63718330952@109.105.112.235
\n\n
Join by H.323
\n109.105.112.236
\n109.105.112.235
\nMeeting ID: 637 1833 0952
\n\n
Join by Skype for Business
\nhttps://dtudk.zoom.us/skype/63718330952
X-ALT-DESC;FMTTYPE=text/html:AGENDA
\n\n
Koen Pieter Tange: rTLS: Making TLS more friendly for IoT
\nThe Transport Security layer has grown out to be the most widely used security protocol ever. Originally designed for the Web, it can now also be seen games, industry, and even IoT. This makes it easy to assume that the TLS protocol is optimized for many use-cases. In reality, however, it is still very much designed with the Web in mind. This results in (the lacking of) security properties that you might want to have in IoT, and sometimes even completely useless functionality. In my research, I try explore where the pain points for IoT are, and propose TLS extensions that make it more suitable for IoT devices.
\n\n
Sam Afzal-Houshmand: Fake Sequential Data Detection: Deep Learning Towards Enhanced Data Trustworthiness
\nThis presentation is about mitigating colluding adversaries while at the same time efficiently managing high influx of incoming user data. The solutions proposed by me is a hybrid use of Deep Learning schemes and conventional Machine Learning classifiers for detecting and filtering out false datapoints.
\nHOW TO ATTEND
\nZoom link: https://dtudk.zoom.us/j/63718330952
\n\n
Meeting ID: 637 1833 0952
\nOne tap mobile
\n+4547372575,,63718330952# Denmark
\n+4589883788,,63718330952# Denmark
\n\n
Dial by your location
\n+45 47 37 25 75 Denmark
\n+45 89 88 37 88 Denmark
\n+45 32 70 12 06 Denmark
\n+45 32 71 31 57 Denmark
\n+45 32 72 80 10 Denmark
\n+45 32 72 80 11 Denmark
\nMeeting ID: 637 1833 0952
\nFind your local number: https://dtudk.zoom.us/u/cLTd72Ouf
\n\n
Join by SIP
\n63718330952@109.105.112.236
\n63718330952@109.105.112.235
\n\n
Join by H.323
\n109.105.112.236
\n109.105.112.235
\nMeeting ID: 637 1833 0952
\n\n
Join by Skype for Business
\nhttps://dtudk.zoom.us/skype/63718330952
URL:https://digitalsecurity.dtu.dk/calendar/2021/06/digisec-seminar-serie-june-2021 DTSTAMP:20260517T221200Z UID:{75E52696-797F-4DBF-B6EF-3299E6B0FDCD}-20210617T140000Z-20210617T140000Z LOCATION: Online event over Zoom END:VEVENT END:VCALENDAR