Document Type
Dissertation
Date of Award
Fall 2017
Degree Name
Doctor of Philosophy in Electrical Engineering - (Ph.D.)
Department
Electrical and Computer Engineering
First Advisor
Edwin Hou
Second Advisor
Nirwan Ansari
Third Advisor
John D. Carpinelli
Fourth Advisor
MengChu Zhou
Fifth Advisor
Vincent Oria
Abstract
Internet-based E-voting systems can offer great benefits over traditional voting machines in areas, such as protecting voter and candidate privacy, providing accurate vote counting, preventing voter fraud, and shortening the time of vote counting. This dissertation introduces, establishes and improves Internet-based E-voting systems on various aspects of the voting procedure. In addition, our designs also enable voters to track their votes which is a very important element in any elections.
Our novel Internet-based E-voting system is based on the following realistic assumptions: (1) The election authorities are not 100% trustworthy; (2) The E-voting system itself is not 100% trustworthy; (3) Every voter is not 100% trustworthy. With these three basic assumptions, we can form mutual restrictions on each party, and secure measurements of the election will not be solely determined and influenced by any one of them. The proposed scheme, referred to as Time-lock algorithm based E-voting system with Ring signature and Multi-part form (TERM), is demonstrated to achieve the goal of keeping votes confidential and voters anonymous, as well as reducing the risk of leaking the voters’ identities during the election. In addition, TERM can prevent any possible clash attack, such as manipulating voting results or tampering voters’ original votes by malicious election authorities or hackers. The security performance analysis also shows that TERM provides outstanding measurements to secure the candidates’ manifest on each type of ballots during the whole election duration. TERM provides a roadmap for future fair elections via Internet.
Recommended Citation
Pan, Haijun, "A novel e-voting system with diverse security features" (2017). Dissertations. 8.
https://digitalcommons.njit.edu/dissertations/8
