Shared task on Detecting Malicious Domain Names (DMD)
InfoSec Conference Summary
The description was submitted by the Conference Organizer. We sometimes edit it to enhance the listing.
We welcome you to participate in the Domain Generation Algorithms (DGAs) generated domain name detection and classification shared task track at DMD 2018. While registering make sure that the name of the team is kept as title and a short description of your approach is also provided as abstract through the Google form provided. The shared task features problem statements in the field of traditional machine learning, deep learning and text analysis in Cyber Security. Participants are advised to register as soon as possible in order to receive the training and testing datasets as per the schedule.
The participants will receive an unbalanced dataset for the first subtask, so design your model accordingly. The testing data will be provided one day before the deadline. We require all the participants to submit their trained model and the results obtained on the test data provided by us. All the participants who submit their work are welcome to present their model at DMD 2018.
All the accepted Shared Task and Workshop Proceedings will be submitted to CEUR-WS.org. Extended version of the best working notes and workshop papers will be submitted to the book.This book will be published in Advanced Sciences and Technologies for Security Applications, Springer