Skip to main content

Events

Crossroads Classic Analytics Challenge 2022

Start

January 14, 2022
7:00 PM

End

February 25, 2022
7:00 PM

Online

Description

Problem Statement

Phishing is the most popular form of social engineering and can be leveraged to put malware or ransomware into a company’s environments. MISO performs routine phishing tests to make sure their employees are ready and prepared. ECS helps protect companies from cyber threats everyday, and IN3 helps bring people together to create a hub of national security innovation to help solve critical defense priorities. How can data science and predictive analytics help employees gain confidence in receiving emails that they are real?

What we want:

  • Ability to search, identify, and wrangle publicly available data that could be used to develop general insights for similar phishing problems.
  • Ability to cleverly use wrangled data with internal data (competition dataset) to detect if an email is a treat or not. Ability to predict will be evaluated via your Kaggle platform submissions.
  • What are the profiles of phishing emails? What could be anticipated from future phishing emails, where do they come from, who receives them, who are likely targets?
  • Can you sell your solution and knowledge from the point of view of a new cyber security consulting firm? Prove what you bring to the table with results and insights

Key Dates

January 14th - Competition Opens

January 21st - Team Registration Deadline

February 13th - Round 1: Kaggle Deadline 

February 18th - Top 4 Teams Per School Division Video Presentation Deadline

February 21st - Final Round Invitations Sent Out

February 25th - Final Presentations

Prizes

$10,000 in Prizes – All prize amounts are total amounts per team

Graduate Division:

  • 1st Prize: $5,000
  • 2nd Prize: $2,000

Undergraduate Division:

  • 1st Prize: $2,000
  • 2nd Prize: $1,000

There will be an overall competition winner. Those team members will also win a championship belt. 

Register: https://purdue.ca1.qualtrics.com/jfe/form/SV_57GwqBNkj7IZFvU

Contact Details

Event Website

https://crossroadsclassicanalyticschallenge.com/

Add to calendar

Submit your event

Are you organizing a data science event? Submit your event to: datascience@purdue.edu

Stay updated

Add all events to calendar

Newsletter

Email Address

Purdue University, 610 Purdue Mall, West Lafayette, IN 47907, (765) 494-4600

© 2022 Purdue University | An equal access/equal opportunity university | Copyright Complaints

Trouble with this page? Disability-related accessibility issue? Please contact us at datascience@purdue.edu.