New Risk Management Findings from Towson University Described (Messaging-Based Security Assessment for Election Processes Using Attack Trees): Risk Management – ​​InsuranceNewsNet

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FEBRUARY 17, 2022 (NewsRx) — By a News Reporter – Staff News Editor at Daily Insurance News — The results of the current risk management study have been published. According to reports from Towson, Md., by NewsRx reporters, the research said, “Since reports of Russian interference in the 2016 U.S. general election, the security of voting processes has received increased attention from state and federal authorities. The declaration of US Department of Homeland Security in January 2017 that electoral systems are ranked as the 17th critical infrastructure component is only the beginning of a need for more secure voting processes.

Financial supporters of this research include Towson UniversityBTUInitiative, national science foundation (NSF).

News correspondents got a quote from the research of Towson University, “More recently, the COVID-19 pandemic and the 2020 U.S. general election have placed more emphasis specifically on mail-in voting processes for electoral systems. The objective of this research is to better understand potential threats to postal voting processes. When identifying an attack tree as an initial structure for the assessment, new threats are postulated and an updated tree is proposed that takes into account more recent activities. Then, using an established assessment framework, the relative likelihood of each mail-in voting process attack scenario is identified.

According to the reporters, the research concluded: “The findings facilitate providing election officials and policy makers with a better understanding of how vulnerabilities in the voting-by-mail system develop as well as specific security measures that can be the 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 analysis2022. Risk analysis can be contacted at: Wiley, 111 river street, Hoboken 07030-5774, NJ, USA. (Wiley-Blackwell – http://www.wiley.com/; Risk analysis – http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1539-6924)

Our journalists inform that additional information can be obtained by contacting Natalie M. Scala, Towson University, College of Commerce and Economics, 8000 York Road, Towson, MD 21252, United States. Other authors of this research include Yeabsira Mezgebe, Betelhem Jilcha, Isabelle Bloomquist, Paul L. Goethals and Josh Dehlinger.

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

(Our reports provide factual information on research and discoveries around the world.)

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