New Risk Management Findings from Towson University Described (Evaluating Mail-based Security for Electoral Processes Using Attack Trees): Risk Management

2022 FEB 17 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Current study results on Risk Management have been published. According to news reporting from Towson, Maryland, by NewsRx journalists, research stated, “Since the reports of Russian interference in the 2016 United States General Election, the security of voting processes has received increased attention from both state and federal authorities. The declaration by the US Department of Homeland Security in January 2017 that election systems be classified as the 17th component of critical infrastructure is just the beginning of a need for more secure voting processes.”

Financial supporters for this research include Towson UniversityBTUInitiative, National Science Foundation (NSF).

The news correspondents obtained a quote from the research from Towson University, “More recently, the COVID-19 pandemic and the 2020 US General Election have placed greater emphasis specifically on mail-based voting processes for electoral systems. The objective of this research is to provide greater insight into potential threats to mail-based voting processes. Upon identifying an attack tree as an initial structure for evaluation, new threats are postulated, and an updated tree is proposed that accounts for more recent activities. Then, using an established assessment framework, the relative likelihood of each mail-based voting process attack scenario is identified.”

According to the news reporters, the research concluded: “The results facilitate providing election officials and policymakers with greater knowledge of how mail-based voting system vulnerabilities develop as well as specific security measures that may be most beneficial.”

This research has been peer-reviewed.

For more information on this research see: Evaluating Mail-based Security for Electoral Processes Using Attack Trees. Risk Analysis, 2022. Risk Analysis can be contacted at: Wiley, 111 River St, Hoboken 07030-5774, NJ, USA. (Wiley-Blackwell - http://www.wiley.com/; Risk Analysis - http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1539-6924)

Our news journalists report that additional information may be obtained by contacting Natalie M. Scala, Towson University, College of Business and Economics, 8000 York Rd, Towson, MD 21252, United States. Additional authors for this research include Yeabsira Mezgebe, Betelhem Jilcha, Isabella Bloomquist, Paul L. Goethals and Josh Dehlinger.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1111/risa.13876. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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