• Medientyp: E-Artikel
  • Titel: A Systematic Analysis of the Capital One Data Breach: Critical Lessons Learned
  • Beteiligte: Khan, Shaharyar; Kabanov, Ilya; Hua, Yunke; Madnick, Stuart
  • Erschienen: Association for Computing Machinery (ACM), 2023
  • Erschienen in: ACM Transactions on Privacy and Security, 26 (2023) 1, Seite 1-29
  • Sprache: Englisch
  • DOI: 10.1145/3546068
  • ISSN: 2471-2574; 2471-2566
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  • Beschreibung: The 2019 Capital One data breach was one of the largest data breaches impacting the privacy and security of personal information of over a 100 million individuals. In most reports about a cyberattack, you will often hear that it succeeded because a single employee clicked on a link in a phishing email or forgot to patch some software, making it seem like an isolated, one-off, trivial problem involving maybe one person, committing a mistake or being negligent. But that is usually not the complete story. By ignoring the related managerial and organizational failures, you are leaving in place the conditions for the next breach. Using our Cybersafety analysis methodology, we identified control failures spanning control levels, going from rather technical issues up to top management, the Board of Directors, and Government regulators. In this analysis, we reconstruct the Capital One hierarchical cyber safety control structure, identify what parts failed and why, and provide recommendations for improvements. This work demonstrates how to discover the true causes of security failures in complex information systems and derive systematic cybersecurity improvements that likely apply to many other organizations. It also provides an approach that individuals can use to evaluate and better secure their organizations.