Computational Complexity Characterization of Protecting Elections from Bribery
Lin Chen (1), Ahmed Sunny (1), Lei Xu (2), Shouhuai Xu (3), Zhimin Gao, (4), Yang Lu (5), Weidong Shi (5), Nolan Shah (6) ((1) Texas Tech, University, (2) University of Texas Rio Grande Valley, (3) University of, Texas San Antonio, (4) Auburn University at Montgomery

TL;DR
This paper investigates the computational complexity of protecting elections from bribery by modeling a bi-level decision problem where a protector can safeguard voters, revealing that protection is often computationally harder than bribery, with some cases solvable efficiently.
Contribution
It provides a comprehensive complexity analysis of election protection problems, establishing that they are generally more complex than bribery problems, including some being -complete.
Findings
Protection problems are ^2-complete even in restricted cases.
Most bribery problems are in NP, while protection problems are often harder.
Some protection problems can be solved in polynomial time.
Abstract
The bribery problem in election has received considerable attention in the literature, upon which various algorithmic and complexity results have been obtained. It is thus natural to ask whether we can protect an election from potential bribery. We assume that the protector can protect a voter with some cost (e.g., by isolating the voter from potential bribers). A protected voter cannot be bribed. Under this setting, we consider the following bi-level decision problem: Is it possible for the protector to protect a proper subset of voters such that no briber with a fixed budget on bribery can alter the election result? The goal of this paper is to give a full picture on the complexity of protection problems. We give an extensive study on the protection problem and provide algorithmic and complexity results. Comparing our results with that on the bribery problems, we observe that the…
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Taxonomy
TopicsCorruption and Economic Development · Crime, Illicit Activities, and Governance · Internet Traffic Analysis and Secure E-voting
