[hpc-announce] CALL FOR SOLUTIONS --> DATA MINING COMPETITION --> 1000 USD --> Web of Science Publication --> June 2 deadline

[Marcin Paprzycki]

CALL FOR SOLUTIONS --> DATA MINING COMPETITION

https://fedcsis.org/sessions/aaia/dm

FedCSIS 2023 Challenge: Cybersecurity Threat Detection in the Behavior 
of IoT Devices is the 9th data science competition in the series. This 
year, the task is related to cybersecurity – participants will construct 
scoring models to detect anomalous operating system behavior of IoT 
devices under attack. The challenge is sponsored by Łukasiewicz Research 
Network – Institute of Innovative Technologies EMAG and EFIGO sp. z o.o. 
companies.

The competition is held at the KnowledgePit online platform managed by 
QED Software – the company which is specialized in the development and 
deployment of innovative AI / ML / Big Data products and solutions.

Submit your solution: https://knowledgepit.ai/fedcsis-2023-challenge/


AWARDS:

Authors of the top-ranked solutions (based on the final evaluation 
scores) will be awarded prizes funded by the Sponsors:

+    1000 USD for the winning solution + 600 EUR for one FedCSIS 2023 
registration
+    500 USD for the 2nd place solution + 600 EUR for one FedCSIS 2023 
registration
+    250 USD for the 3rd place solution + 600 EUR for one FedCSIS 2023 
registration


SCHEDULE:

-    June 2, 2023 (23:59 GMT): deadline for submitting the predictions
-    June 4, 2023 (23:59 GMT): deadline for sending the reports, end of 
the competition
-    June 09, 2023: online publication of the final results, sending 
invitations for submitting short papers for the special session at 
FedCSIS'23
-    July 09, 2023: deadline for submitting invited papers
-    July 16, 2023: notification of paper acceptance
-    July 28, 2023: camera-ready of accepted papers, and registration 
for the conference are due


CONTEXT:

Competition is organized within the scope of the 18th Conference on 
Computer Science and Intelligence Systems (FedCSIS 2023; IEEE #57573)
Warsaw, Poland, 17–20 September, 2023
https://www.fedcsis.org/