9,139 research outputs found
Solving Hard Control Problems in Voting Systems via Integer Programming
Voting problems are central in the area of social choice. In this article, we
investigate various voting systems and types of control of elections. We
present integer linear programming (ILP) formulations for a wide range of
NP-hard control problems. Our ILP formulations are flexible in the sense that
they can work with an arbitrary number of candidates and voters. Using the
off-the-shelf solver Cplex, we show that our approaches can manipulate
elections with a large number of voters and candidates efficiently
An efficient protocol for the problem of secure two-party vector dominance
The problem of secure two-party vector dominance requires the comparison of two vectors in an "all-or-nothing" way. In this paper we provide a solution to this problem based on the semi-honest model. It is reduced to the problem of privacy preserving prefix test, and an additive threshold homomorphic encryption is used to protect those privacies while computing the results of all of the prefix tests. Our solution has advantages of efficiency and security in comparison with other solutions.Yingpeng Sang, Hong Shen, Zonghua Zhan
Some Efficient Solutions to Yao's Millionaire Problem
We present three simple and efficient protocol constructions to solve Yao's
Millionaire Problem when the parties involved are non-colluding and
semi-honest. The first construction uses a partially homomorphic Encryption
Scheme and is a 4-round scheme using 2 encryptions, 2 homomorphic circuit
evaluations (subtraction and XOR) and a single decryption. The second
construction uses an untrusted third party and achieves a communication
overhead linear in input bit-size with the help of an order preserving
function.Moreover, the second construction does not require an apriori input
bound and can work on inputs of different bit-sizes. The third construction
does not use a third party and, even though, it has a quadratic communication
overhead, it is a fairly simple construction.Comment: 17 page
Stochastic Dominance Portfolio Analysis of Forestry Assets
We consider the forestry decision-making and harvesting problem from the perspective of financial portfolio management, where harvestable forest stands constitute one of the liquid assets of the portfolio. Using real data from Finnish mixed borealis forests and from the Helsinki stock exchange, we investigate the effect of trading the timber stock together with the forest land, or without the land (i.e., harvesting), on the portfolio efficiency. As our research methodology, we utilize the general Stochastic Dominance (SD) criteria, focusing on the recent theoretical advances in analyzing portfolio diversification within the SD framework. Our findings shed some further light on the question of how to model the forestry planning problem, and provide some comparative evidence of the applicability of the alternative SD test approaches.Forest Management, Portfolio Optimization, Stochastic Dominance, Diversification
- β¦