{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T16:33:21Z","timestamp":1766421201058,"version":"3.48.0"},"reference-count":0,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T00:00:00Z","timestamp":1766361600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>The security and integrity of election systems represent fundamental pillars of democratic governance in the 21st century. As electoral processes increasingly rely on networked technologies and digital infrastructures, the vulnerability of these systems to cyber threats has become a paramount concern for election officials, cybersecurity experts, and policymakers worldwide. This paper presents the first comprehensive synthesis and systematic analysis of vulnerabilities across major U.S. election systems, integrating findings from government assessments, security research, and documented incidents into a unified analytical framework. We compile and categorize previously fragmented vulnerability data from multiple vendors, federal advisories (CISA, EAC), and security assessments to construct a holistic view of the election security landscape. Our novel contribution includes (1) the first cross-vendor vulnerability taxonomy for election systems, (2) a quantitative risk assessment framework specifically designed for election infrastructure, (3) systematic mapping of threat actor capabilities against election system components, and (4) the first proposal for honeynet deployment in election security contexts. Through analysis of over 200 authoritative sources, we identify critical security gaps in federal guidelines, quantify risks in networked election components, and reveal systemic vulnerabilities that only emerge through comprehensive cross-system analysis. Our findings demonstrate that interconnected vulnerabilities create risk-amplification factors of 2-5x compared to isolated component analysis, highlighting the urgent need for comprehensive federal cybersecurity standards, improved network segmentation, and enhanced monitoring capabilities to protect democratic processes.<\/jats:p>","DOI":"10.3390\/info17010010","type":"journal-article","created":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T16:19:26Z","timestamp":1766420366000},"page":"10","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Critique of Networked Election Systems: A Comprehensive Analysis of Vulnerabilities and Security Measures"],"prefix":"10.3390","volume":"17","author":[{"given":"Jason M.","family":"Green","sequence":"first","affiliation":[{"name":"Department of Computer Systems Technology, North Carolina A&T State University, Greensboro, NC 27411, USA"}]},{"given":"Abdolhossein","family":"Sarrafzadeh","sequence":"additional","affiliation":[{"name":"Department of Computer Systems Technology, North Carolina A&T State University, Greensboro, NC 27411, USA"}]},{"given":"Mohd","family":"Anwar","sequence":"additional","affiliation":[{"name":"Department of Computer Systems Technology, North Carolina A&T State University, Greensboro, NC 27411, USA"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,22]]},"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/17\/1\/10\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T16:29:47Z","timestamp":1766420987000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/17\/1\/10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,22]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,1]]}},"alternative-id":["info17010010"],"URL":"https:\/\/doi.org\/10.3390\/info17010010","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,22]]}}}