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Currently, electronic election is one of the most popular issues of e-democracy. This has led to the development of applications and several security mechanisms to address…
Currently, electronic election is one of the most popular issues of e-democracy. This has led to the development of applications and several security mechanisms to address such necessity. The problem that arises is that such applications are created either on demand for a specific election process, or experimentally for scientific purposes. The purpose of this study is to present a new e-voting system, called VOTAN. The VOTAN system involves a combination of new features with basic advantages, the implementation as open source software, its modular organization covering the functional requirements of a typical electronic voting system (EVS) and the capability of data analysis of candidates and voters.
VOTAN stands for VOTes Analyzer. It is a secure application for the conduct of electronic elections through the internet based on its own security protocol. It also includes a data analysis component which analyzes the election results and investigates the factors that play a crucial role. The major advantages of the system are that it is an open source and includes a data analysis module that can distinguish important variables from the elections and help make predictions for the outcome based on the selected variables. It is a practical solution to the existing e-voting applications and is ideal for small communities such as organizations, universities and chambers.
Its main advantage, compared to similar e-voting systems, is the integration of the data analysis component. The analysis of the data produced from elections is considered a critical process to fully comprehend the outcome of the elections and its correlation to specific attributes/variables of the election process. The data analysis module is a unique feature of VOTAN. It facilitates the selection of the most important attributes that influence the outcome of elections and creates a mathematical model to predict the outcome of an election based on the selected attributes. The method used in the module is the LDA.
The originality of the paper derives from the data analysis component and its security protocol/schema that fulfils several requirements.