Blockchain oriented hyperledger based performance driven framework for mass e-voting

2021 ◽  
pp. 1-11
Author(s):  
Swapna Donepudi ◽  
K. Thammi Reddy

Voting is a process for making collective decisions or to express a mass opinion on list of options available. It is a most commonly used instrument to elect a political representative. It is apparent that the methodology currently followed for voting in India can be improved at many levels to make it more robust and efficient. Currently, the voting methodology followed in Indian political elections has two major issues, one is high cost per voter, and low voter turnout. There are many attempts by other democratic setups to tackle this problem by offering online method of voting, but the most trustworthy and promising solution is considered to be voting platform/infrastructure backed by Blockchain. Most of the currently existing Blockchain based voting solutions are computationally expensive, doesn’t provide a verifiable secret ballot, slow, and Byzantine Fault Tolerant Proof of Work algorithms run on a public Blockchain network. The work presented in this paper aims at addressing these issues by proposing Blockchain based framework that leverages Hyperledger Fabric for Scalable Voting System. The proposed method uses Aadhar number for authentication of voters. The proposed method can efficiently cater the secure, trustworthy, and promising to Indian scale. The proposed method offers a various solution, offline and online voting with features such as cost-effective deployments, instantaneous vote counting, Cast as Intended Verifiability, and an observable and auditable architecture. The proposed method has been tested on real time setup and the experimental results are promising.

2021 ◽  
Vol Volume 33 - 2020 - Special... ◽  
Author(s):  
Léonie Tamo Mamtio ◽  
Gilbert Tindo

Electronic voting systems have become a powerful technology for the improvement of democracy by reducing the cost of elections, increasing voter turnout and even allowing voters to directly check the entire electoral process. End-to-end (E2E) verifiability has been widely identified as a critical property for the adoption of such voting systems for electoral procedures. Moreover, one of the pillars of any vote, apart from the secret of the vote and the integrity of the result, lies in the transparency of the process, the possibility for the voters "to understand the underlying system" without resorting to the competences techniques. The end-to-end verifiable electronic voting systems proposed in the literature do not always guarantee it because they require additional configuration hypotheses, for example the existence of a trusted third party as a random source or the existence of a random beacon. Hence, building a reliable verifiable end-to-end voting system offering confidentiality and integrity remains an open research problem. In this work, we are presenting a new verifiable end-to-end electronic voting system requiring only the existence of a coherent voting board, fault-tolerant, which stores all election-related information and allows any party as well as voters to read and verify the entire election process. The property of our system is information guaranteed given the existence of the bulletin board, the involvement of the voters and the political parties in the process. This involvement does not compromise the confidentiality nor integrity of the elections and does not require cryptographic operations on the voters account. Les systèmes de vote électronique sont devenus une technologie puissante pour amé-liorer la démocratie en réduisant le coût des élections, en augmentant la participation des électeurs et en permettant même aux électeurs de vérifier directement l'ensemble de la procédure électorale. Cependant, la vérification de bout en bout (E2E) a été largement identifiée comme une propriété critique pour l'adoption de tels systèmes de vote en réel pour des procédures électorales. Par ailleurs, l'un des piliers de tout scrutin, outre le secret du vote et l'intégrité du résultat, réside dans la trans-parence du processus, la possibilité pour les électeurs "de comprendre le système sous-jacent" sans avoir recours aux compétences techniques. Les systèmes de vote électronique vérifiables de bout en bout proposés dans la littérature ne le garantissent pas toujours car ils nécessitent des hypothèses de configuration supplémentaires par exemple l'existence d'un tiers de confiance comme source de hasard, l'existence d'une balise aléatoire. Ainsi, construire un système de vote vérifiable de bout en bout fiable offrant la confidentialité et l'intégrité reste un problème de recherche ouvert. Dans ce tra-vail, nous présentons un nouveau système de vote électronique vérifiable de bout en bout nécessitant uniquement l'existence d'un babillard de vote cohérent, tolérant aux pannes, qui stocke toutes les in-formations relatives aux élections et permet à tout parti ainsi qu'aux électeurs de lire et vérifier le processus d'élection complet. La propriété de vérification de bout en bout de notre système est une information garantie compte tenu de l'existence du babillard, de l'implication des électeurs et des par-tis politique dans le processus. Cette implication ne compromet ni la confidentialité ni l'intégrité des élections et ne nécessite pas d'opérations cryptographiques pour le compte de l'électeur.


Author(s):  
Khaulah Afifah ◽  
Lala M Kolopaking ◽  
Zessy Ardinal Barlan

Head of a village election with e-voting system is a new thing for community The success level of e-voting system can be reached by fulfil several principles in order to the implementation going effective and the result of the election can be accepted by all. The objectives of this research is to analyze the relation between the success level of e-voting system with social capital of the community. This research is carried out with the quantitative approach and supported by qualitative data. This research takes 60 respondents using simple random sampling technique. The results showed that the success level of e-voting has a correlation with the level of social capital of the community. Based on the field study, the social capital of the community is classified as high. The high social capital makes the implementation of e-voting successful and the success level is also high, because in the election ten years ago occurred a conflict. The community considers e-voting easier and more practical, cost effective and time-saving, and the results of e-voting are also reliable. A practical and fast of e-voting system can be a solution especially for “rural-urban” community who are busy or work outside the village.Keywords: E-voting, the success level of the system, social capital Pemilihan kepala desa dengan sistem e-voting merupakan hal yang baru bagi masyarakat. Keberhasilan penerapan sistem e-voting dilihat dari terpenuhinya beberapa prinsip agar penerapannya berlangsung efektif dan hasilnya dapat diterima oleh seluruh masyarakat. Penelitian ini bertujuan untuk menganalisis hubungan tingkat keberhasilan sistem e-voting dalam pemilihan kepala desa dengan tingkat modal sosial masyarakat. Bentuk penelitian ini adalah penelitian kuantitatif yang didukung oleh analisis data kualitatif. Penelitian ini mengambil enam puluh responden dengan teknik simple random sampling. Hasil penelitian menunjukkan bahwa tingkat keberhasilan e-voting memiliki hubungan dengan tingkat modal sosial masyarakat. Berdasarkan kajian di lapang, modal sosial masyarakat tergolong tinggi. Tingginya modal sosial tersebut membuat pelaksanaan e-voting berhasil dan tingkat keberhasilannya juga tergolong tinggi karena pada pemilihan sepuluh tahun silam sempat terjadi konflik. Masyarakat menganggap sistem evoting lebih mudah dan praktis, hemat dalam segi biaya dan waktu, serta hasil dari pemilihan juga dapat dipertanggungjawabkan. Sistem e-voting yang praktis dan cepat dapat menjadi solusi khususnya bagi masyarakat daerah “desa-kota” yang memiliki kesibukan atau pekerjaan di luar desa.Kata Kunci: E-voting, keberhasilan sistem, modal sosial. 


Author(s):  
Paul Oehlmann ◽  
Paul Osswald ◽  
Juan Camilo Blanco ◽  
Martin Friedrich ◽  
Dominik Rietzel ◽  
...  

AbstractWith industries pushing towards digitalized production, adaption to expectations and increasing requirements for modern applications, has brought additive manufacturing (AM) to the forefront of Industry 4.0. In fact, AM is a main accelerator for digital production with its possibilities in structural design, such as topology optimization, production flexibility, customization, product development, to name a few. Fused Filament Fabrication (FFF) is a widespread and practical tool for rapid prototyping that also demonstrates the importance of AM technologies through its accessibility to the general public by creating cost effective desktop solutions. An increasing integration of systems in an intelligent production environment also enables the generation of large-scale data to be used for process monitoring and process control. Deep learning as a form of artificial intelligence (AI) and more specifically, a method of machine learning (ML) is ideal for handling big data. This study uses a trained artificial neural network (ANN) model as a digital shadow to predict the force within the nozzle of an FFF printer using filament speed and nozzle temperatures as input data. After the ANN model was tested using data from a theoretical model it was implemented to predict the behavior using real-time printer data. For this purpose, an FFF printer was equipped with sensors that collect real time printer data during the printing process. The ANN model reflected the kinematics of melting and flow predicted by models currently available for various speeds of printing. The model allows for a deeper understanding of the influencing process parameters which ultimately results in the determination of the optimum combination of process speed and print quality.


Author(s):  
Zhongjin Li ◽  
Victor Chang ◽  
Haiyang Hu ◽  
Hua Hu ◽  
Chuanyi Li ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 420
Author(s):  
Phong B. Dao

Multiagent control system (MACS) has become a promising solution for solving complex control problems. Using the advantages of MACS-based design approaches, a novel solution for advanced control of mechatronic systems has been developed in this paper. The study has aimed at integrating learning control into MACS. Specifically, learning feedforward control (LFFC) is implemented as a pattern for incorporation in MACS. The major novelty of this work is that the feedback control part is realized in a real-time periodic MACS, while the LFFC algorithm is done on-line, asynchronously, and in a separate non-real-time aperiodic MACS. As a result, a MACS-based LFFC design method has been developed. A second-order B-spline neural network (BSN) is used as a function approximator for LFFC whose input-output mapping can be adapted during control and is intended to become equal to the inverse model of the plant. To provide real-time features for the MACS-based LFFC system, the open robot control software (OROCOS) has been employed as development and runtime environment. A case study using a simulated linear motor in the presence of nonlinear cogging and friction force as well as mass variations is used to illustrate the proposed method. A MACS-based LFFC system has been designed and implemented for the simulated plant. The system consists of a setpoint generator, a feedback controller, and a time-index LFFC that can learn on-line. Simulation results have demonstrated the applicability of the design method.


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