Difference between revisions of "IoTSec:Phone 2019/12/04"
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| − | * | + | * Proposed and drafted an umbrella paper |
| + | ** Safe and secure IoT-enabled smart power grid infrastructure: The IoTSec Project | ||
| + | * Making progress on contributions to 4 sections of this paper | ||
| + | ** 2.3 Attacks Detection | ||
| + | ** 3.1 Privacy-aware Models | ||
| + | ** 3.2 Adaptive Security Models | ||
| + | ** 4.1 Multi-metrics | ||
| + | * Making progress on the real time adaptive data collection | ||
| + | ** For adapting collection strategies we have tested Decision Tree, Random Forest, K-Nearest Neighbors, and Support Vector Machine (SVM) algorithms from scikit-learn package using python 3 and the following datasets: KDDCup-99, CIC IDS 2017, and BoT-IoT dataset. | ||
| + | |||
== other discussion == | == other discussion == | ||
{{IoTSec:ActionItems}} | {{IoTSec:ActionItems}} | ||
Revision as of 11:47, 4 December 2019
| Security in IoT for Smart Grids | |||||||
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| Title | IoTSec:Phone Meeting December2019 |
|---|---|
| Phone number, info | +47 21933751 725-796-213 |
| Date, time, Duration | 2019/12/04, 14:00, 60 min |
| Organizer | Christian Johansen |
| Participants | Christian Johansen |
this page was created by Special:FormEdit/Phone_IoTSec, and can be edited by Special:FormEdit/Phone_IoTSec/IoTSec:Phone 2019/12/04
Call Info
http://gotomeet.me/BasicInternet
or phone Norway: +47 21 93 37 51 Access Code: 725-796-213
More phone numbers FI: +358 923 17 0568 DE: +49 692 5736 7317 IT: +39 0 247 92 13 01 NL: +31 202 251 017 ES: +34 932 75 2004 SE: +46 853 527 827
Help on joining can be taken from IoTSec:Meetings#Help_for_using_GoToMeeting_conference_tool
Agenda
- Status for the joint IoTSec papers and general project goal fitting
- Status from each partner (at least from PhD students including update on time-line)
- AOB
Minutes
Minutes of the meeting IoTAdmin:20191204PhoneMeeting_Notes
short notes
- What are the Main Takeaways from IoTSec ?
- What are the Major achievements?
Status
UiO
SIN
NTNU
NR
- Proposed and drafted an umbrella paper
- Safe and secure IoT-enabled smart power grid infrastructure: The IoTSec Project
- Making progress on contributions to 4 sections of this paper
- 2.3 Attacks Detection
- 3.1 Privacy-aware Models
- 3.2 Adaptive Security Models
- 4.1 Multi-metrics
- Making progress on the real time adaptive data collection
- For adapting collection strategies we have tested Decision Tree, Random Forest, K-Nearest Neighbors, and Support Vector Machine (SVM) algorithms from scikit-learn package using python 3 and the following datasets: KDDCup-99, CIC IDS 2017, and BoT-IoT dataset.
other discussion