New Jersey Voter ID Numbers Reconfigured with Shift Cipher
Abstract:
This study examines New Jersey voter identification numbers for hidden algorithmic attributes, following similar findings in New York, where algorithms could track certain illegal records. Analysis reveals complex obfuscation patterns in New Jersey, including shift ciphers, in these public-facing numbers. The purpose of such obfuscation in accessible data is unclear, raising transparency concerns. Approximately 102,854 potentially erroneous or falsified records were discovered, indicating serious integrity issues. While no direct link was found between these problematic records and the algorithmic modifications, their coexistence is concerning. The ability to algorithmically track illegal records, as seen in New York, suggests a potential for misuse. These findings have significant implications for election integrity and data management practices.
AUTHORS
Independent Researcher
Andrew Paquette, PhD (King's College London, 2018), researched topological awareness in CG artist proficiency. Previously, he worked as a CG artist and supervisor in video games and film VFX. In 2006, he co-founded the IGAD academy in Breda, Netherlands. Currently, Paquette studies undocumented data and algorithms in U.S. voter rolls.
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Keywords
Journal of Information Warfare
The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.
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