Malware Detection Competition

Microsoft launches Malware Detection Competition with AI to test whether the participants AI malware detection models can accurately predict malware from the infected device.

Since Malware evolution  is continuously targeting organization and individuals with sophisticated techniques, Microsoft is challenging the AI community to develop techniques to predict if a machine vulnerable to hit with malware.

In this case, Microsoft will learn from participants to predict a Windows machine’s probability of getting infected by various malware families with different machine properties.

Microsoft announced $25000 cash price for Malware Detection Competition winners and it will be splited into top 5 perfomer respectively below 

  • 1st Place – $12,000
  • 2nd Place – $7,000
  • 3rd Place – $3,000
  • 4th Place – $2,000
  • 5th Place – $1,000

Microsoft will provide the 9.4GB data which is gathered from more than 16 million endpoints by Windows Defender to participants who can use the data to predict whether a particular machine’s configuration will become infected or not.

According to kaggle, Competitions are open to residents of the United States and worldwide, except if you are a resident of Crimea, Cuba, Iran, Syria, North Korea, Sudan, or are subject to U.S. export controls or sanctions, then you may not enter the Competition.

Maximum 8 individuals can team up and participant the competition and team cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.

Event submission deadline is March 13th, 2018 and the winners will be announced based on how accurately participant models identified the machines that would become infected.

Participant Team can register here at kaggle performerand the following timeline need to be noted.

  • March 6, 2019 – Entry deadline. You must accept the competition rules before this date in order to compete.
  • March 6, 2019 – Team Merger deadline. This is the last day participants may join or merge teams.
  • March 13, 2019 – Final submission deadline.

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