Mrs. A. Asrin Mahmootha, B. Aysha Banu, Mohammed Muhajir S, Mohamed Anas A · 5 authors
Voting is a central component of a country’s political life cycle. Privacy, authentication, and integrity of citizens’ votes are essential requirements of any electronic voting programme. To address these concerns, this paper proposes a hybrid e-voting system that integrates personal and public blockchain with a machine learning–based intrusion detection mechanism. The personal blockchain governs voter registration and vote casting, while the public blockchain stores the Merkle root hash for result integrity verification. An ML-based intrusion detection system monitors voting data centres and e-voting stations for anomalous behaviour. Homomorphic encryption and zero-knowledge proofs preserve voter anonymity. Experimental evaluation demonstrates that the proposed framework achieves an accuracy of 97.4%, precision of 96.8%, recall of 97.1%, and F1-score of 96.9% in detecting intrusion attempts. The system also reduces transaction latency by 34% compared to conventional blockchain voting systems. Results confirm that the framework delivers transparency, tamper-resistance, and strong security guarantees, making it a viable solution for modern democratic elections
Restricted forensic evidence-trail consolidation. This 42-page German-language whitepaper consolidates the development, integrity, publication and custody evidence for the AUGMANITAI work complex and the thesis of language as versionable code from January through 21 August 2026. It includes an evidence-class model, a month-by-month chronology, verified Zenodo and GitHub anchors, backup and restore findings, claim limitations, a proposed work constitution, and the complete 944-entry April 2026 IP-core manifest with SHA-256 values. The record documents 943 manifest-matching primary files plus one exact original file state recovered from a fossil backup, making all 944 April byte states reconstructible. OpenTimestamps files are present but their Bitcoin confirmation remains unverified in this audit. The paper does not claim worldwide priority, patentability, peer review, empirical validation or a complete external timestamp chain since January. Three contemporaneous restricted records created in parallel on 21 August 2026 are acknowledged as separate evidence anchors: 10.5281/zenodo.22050012, 10.5281/zenodo.22050031 and 10.5281/zenodo.22050033. This record is the long-form forensic consolidation and complete manifest index. Human responsible creator and depositor: Andreas Ehstand. AI-assisted evidence search, hashing, consolidation, typesetting and deposit preparation: OpenAI Codex. Restricted access does not constitute public enabling disclosure. All rights reserved; underlying materials retain their respective licences.