Current State of Personal Data Protection in Electronic Voting: Criteria and Indicator for Effective Implementation

The adoption of electronic voting has been done in various countries related to cost and time reduction operationally. On the other hand, recent publication has been informed several issues occurred such as technicality, reliability, security and privacy due to the compromised system were used. In small scale, there are certain group of people who want to exploit the vulnerabilities for their own benefit in the election, while in the greater scale, it can reduce public confidence to entrust the adoption of e-voting system to augment participation rate, to improve the quality of voting and to aid the political right effectively. This paper aims to investigate the characteristic of people demanding the legislative to address the criteria and indicator for effective implementation in electronic voting. By understanding the perception of voters in viewing current electoral regulation are essential to provide some ideas and opinions for better enhancement, either through recommendation and drafting related legislation to cater the needs

Privacy Risk Assessment: From Art to Science, by Metrics

Privacy risk assessments aim to analyze and quantify the privacy risks associated with new systems. As such, they are critically important in ensuring that adequate privacy protections are built in. However, current methods to quantify privacy risk rely heavily on experienced analysts picking the “correct” risk level on e.g. a five-point scale. In this paper, we argue that a more scientific quantification of privacy risk increases accuracy and reliability and can thus make it easier to build privacy-friendly systems. We discuss how the impact and likelihood of privacy violations can be decomposed and quantified, and stress the importance of meaningful metrics and units of measurement. We suggest a method of quantifying and representing privacy risk that considers a collection of factors as well as a variety of contexts and attacker models. We conclude by identifying some of the major research questions to take this approach further in a variety of application scenarios