What Can Be the Extent of Contributions of Statistical Sciences to Cyber-Risk and CLOUD Computing Domain in a Security- and Privacy-Conscious World?

• Activity Number: 386
• Type: Roundtables
• Date/Time: Tuesday, August 11, 2015 : 12:30 PM to 1:50 PM
• Sponsor: Section on Risk Analysis
• Author(s): Mehmet Sahinoglu*
• Companies: Auburn University
• Keywords: Data Analytical ; Data Science ; Cloud ; Information Deluge ; Security ; Privacy

Abstract

This topic is of prime importance nowadays, and it makes one wonder why applied risk statisticians only deal with life sciences, pharmacy, etc., but not cybersecurity, cloud computing, and Big Data within the same realm. Simply because the weight of statistical or data sciences due to information deluge, for one reason, is too large to ignore. Using a statistical data analytical or data science approach provides a quasi-comprehensive coverage of the latest applied and quantitative metrics-oriented topics in security and reliability modeling for cyber-risk assessment. There has never been such an opportunity to synergize cybersecurity and statistics/data science as the two scientific disciplines, where any cybersecurity research without data analysis of vulnerabilities, threats, etc. would be only au verbatim high-medium-low type of description. This clearly cannot be making sense in terms of dollars and cents or offer cost-oriented solutions to mark the difference when risk management is implemented to mitigate. For one, cloud computing--wherein the future lies--is "too Big a Data" to peruse only but not intervene effectively regarding the mitigation of privacy and security issues.