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
New York, New York, USA
Dr. Andrew Paquette is a researcher specializing in the identification and description of voter ID number assignment algorithms in state voter roll databases. With a background in digital visual analysis from the computer graphics industry, including work at Epic Games, Universal Studios, and Sony, Paquette applies pattern recognition techniques developed during his career in animation and art direction to identify anomalies in electoral data systems. He holds a PhD from King's College London and previously co-founded the International Game Architecture and Design Academy at NHTV (now Breda University of Applied Sciences), where he taught from 2006 to 2018. His current research contributes to understanding the structure and implementation of algorithmic systems in election infrastructure.
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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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