{"id":140436,"date":"2024-03-27T11:41:06","date_gmt":"2024-03-27T15:41:06","guid":{"rendered":"https:\/\/www.ucf.edu\/news\/?p=140436"},"modified":"2024-04-26T08:32:16","modified_gmt":"2024-04-26T12:32:16","slug":"ucf-collegiate-cybersecurity-competition-team-advances-to-nationals-for-the-super-bowl-of-cyber-competitions","status":"publish","type":"post","link":"https:\/\/www.ucf.edu\/news\/ucf-collegiate-cybersecurity-competition-team-advances-to-nationals-for-the-super-bowl-of-cyber-competitions\/","title":{"rendered":"UCF Collegiate Cybersecurity Competition Team Advances to Nationals for the \u2018Super Bowl\u2019 of Cyber Competitions"},"content":{"rendered":"
With its talented students always in high demand by top employers, UCF\u2019s Collegiate Cybersecurity Competition Team will aim next month to win its sixth national championship since 2014.<\/p>\n
The team won the southeast regional title last weekend at Kennedy Space Center to advance to the National Collegiate Cyber Defense Competition, the \u201cSuper Bowl of cyber competitions,\u201d April 25-27 in San Antonio.<\/p>\n
\u201cWe send the best of our best to this competition,\u201d says UCF Computer Science Professor Tom Nedorost, who coaches the team. \u201cMany companies sign up to host these competitions so that they can pick top talent.\u201d<\/p>\n
UCF\u2019s Cybersecurity Team is one of many causes available for donors to support during annual UCF\u2019s Day of Giving <\/a>celebration on April 11. Contributions help to cover the team\u2019s competition and travel expenses.<\/p>\n\t\t\t\n\t\t\t\tDonate to the Cyber Security Fund\t\t\t<\/a>\n\t\t<\/blockquote>\n
The competition features student teams running a fictional company and defending it against a variety of cyber attacks similar to what a real-world company would face \u2014 all in a manner similar to the types of simulations corporations run to try to prevent attacks against their systems. Attacks during the competition come from industry professionals who seek out weaknesses and aim to extract personally identifiable information from the student teams\u2019 companies.<\/p>\n