Zhang, L., Stoffel, A., Behrisch, M., Mittelstadt, S., Schreck, T., Pompl, R., Weber, S., Last, H. and Keim, D. (2012) Visual Analytics for the Big Data Era—A Comparative Review of State-of-the-Art Commercial Systems. 2012 IEEE Conference on Visual Analytics Science and Technology (VAST), Seattle, 14-19 October 2012, 173-182.
https://doi.org/10.1109/VAST.2012.6400554

has been cited by the following article:

• TITLE: Exploring the Characteristics of Data Breaches: A Descriptive Analytic Study

  AUTHORS: Dominik Molitor, Aditya Saharia, Viju Raghupathi, Wullianallur Raghupathi

  KEYWORDS: Cyber Security, Information Security, Data Breaches, Descriptive Analytics, Privacy, Visualization, Visual Analytics

  JOURNAL NAME: Journal of Information Security, Vol.15 No.2, April 2, 2024

  ABSTRACT: Data breaches have massive consequences for companies, affecting them financially and undermining their reputation, which poses significant challenges to online security and the long-term viability of businesses. This study analyzes trends in data breaches in the United States, examining the frequency, causes, and magnitude of breaches across various industries. We document that data breaches are increasing, with hacking emerging as the leading cause. Our descriptive analyses explore factors influencing breaches, including security vulnerabilities, human error, and malicious attacks. The findings provide policymakers and businesses with actionable insights to bolster data security through proactive audits, patching, encryption, and response planning. By better understanding breach patterns and risk factors, organizations can take targeted steps to enhance protections and mitigate the potential damage of future incidents.