Cybersecurity impact of the growth of data in sports

Stephanie Jenkins; Nathaniel Evans

doi:10.1117/12.2557898

28 April 2020 Cybersecurity impact of the growth of data in sports

Stephanie Jenkins, Nathaniel Evans

Proceedings Volume 11417, Cyber Sensing 2020; 114170H (2020) https://doi.org/10.1117/12.2557898
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

As the sporting industry continues to increase dependence on new and often massive data sets, they also risk exposing themselves, as well as the leagues, teams, venues, players, and fans, to risks posed by not protecting the confidentiality and integrity of this data. The industry, especially true for professional sports, demands an ever increasing supply of new forms of data to achieve their goals of enticing new fans; enhancing experience; expanding the fan experience from venues and television to the internet and mobile devices; measuring and evaluating the performance and safety of players; and increasing revenue. New methods have emerged to collect data about a variety of aspects of sports ranging from players to fans to teams to venues. Data collected during sporting events is combined with historical data to also help teams analyze and predict performance. To synthesize these predictive analytical and historical memories, sports teams and organizations mix a variety of computer technologies. System integration tends to focus on ensuring the availability of the data and reliability of the technologies but might introduce risks to the confidentiality (privacy) and integrity of the data. Recognizing the potential risks requires review and evaluation. Much of the data is collected for publicly providing information to the fans, so threats to confidentiality pose fewer risks. The greatest risk is violating the privacy of players, such a private performance test, or using technology to gain a competitive advantage.

Citation Download Citation

Stephanie Jenkins and Nathaniel Evans "Cybersecurity impact of the growth of data in sports", Proc. SPIE 11417, Cyber Sensing 2020, 114170H (28 April 2020); https://doi.org/10.1117/12.2557898

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