Protect users and institutions involved into financial transactions by improving online fraud detection mechanisms, wipers / cryptographers, hidden mining etc.
Machine learning in cybersecurity
Develop new methods to apply machine learning to improve CS technologies and narrow the damage caused by cyberattacks
Develop effective measures to improve smart car user’s safety: prevent controller area network attacks, GPS and other sensitive data leakage for both manned and unmanned vehicles.
Stages of the contest
Register online for the competition.
Submit detailed project description
or research abstract and project prototype. Add your team members if applicable. The expert jury will consider all projects and select the best for the finals.
Or participate in a local conferencefind out more
Take part in the final event at the Kaspersky.Academy Partners Summit in Lisbon where you will pitch your idea to a board of experts!
Kaspersky Security Analist Summit 2020
Local Cybersecurity Conference
Meet our jury
Research Development Group Manager (ML), Kaspersky
Head of HR Marketing, Kaspersky
Vice President, New Business & Innovation, Kaspersky
Deputy Dir. GReAT, Head of EEMEA Research Center, Kaspersky