Page 688 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
 Gather requirements from stakeholders and design the  Cryptographic methods for secure vote encryption.
system architecture.
 Biometric authentication for voter verification.
 Phase 2: Prototype Development
 Voter-verifiable audit trails (VVAT) for transparency.
 Build a prototype incorporating blockchain, encryption, B. Technology Integration
and biometric features.
 Blockchain: Implement a private or permissioned
 Phase 3: Testing and Validation blockchain to ensure decentralized and tamper-proof
vote storage.
 Conduct security testing, user acceptance testing, and
pilot trials in controlled environments.  Cryptography: Use homomorphic encryption for secure
vote casting and tallying.
 Phase 4: Deployment and Monitoring
 Biometric Authentication: Integrate facial recognition or
 Deploy the system for a small-scale election, monitor fingerprint scanning to verify voter identities.
performance, and refine based on feedback.
 Smart Contracts: Automate key election processes (e.g.,
6. Expected Contributions
vote validation, tallying) using smart contracts.
 A novel e-voting framework that leverages blockchain
and cryptographic techniques for enhanced security and  Artificial Intelligence (AI): Employ AI algorithms to
transparency. detect anomalies and potential fraud in real time.
 A practical approach to implementing voter-verifiable C. Prototype Development
mechanisms that maintain anonymity and trust.  Design and develop a working prototype of the e-voting
system.
 Insights into the integration of emerging technologies
for scalable and accessible e-voting systems.  Include user interfaces for voters, administrators, and
auditors.
This proposed work aims to bridge the gap between
technological advancements and public trust in digital  Incorporate multi-device compatibility (e.g., desktop,
elections, paving the way for secure and transparent e-voting mobile).
adoption worldwide.
D. Testing and Evaluation
IV. PROPOSED RESEARCH MODEL  Perform security testing to evaluate resistance to cyber
The proposed research model is designed to develop, threats, such as hacking, tampering, and phishing.
implement, and evaluate a secure and transparent electronic
voting (e-voting) system. The model integrates theoretical  Conduct user experience testing to assess the system’s
and practical components, including advanced technologies, usability and accessibility.
user-centric designs, and rigorous testing methodologies.  Validate transparency through independent audits and
The research model is structured into five key components: public demonstration of system features.
system design, technology integration, implementation,
 Test scalability by simulating elections with varying
evaluation, and feedback.
voter volumes.
1. Conceptual Framework
The research model is built on the following pillars: E. Feedback and Iteration
 Security: Ensuring the integrity, confidentiality, and  Collect feedback from users, experts, and stakeholders
authenticity of votes. after prototype testing.
 Refine the system based on identified issues, such as
 Transparency: Providing verifiable and auditable
usability barriers or security vulnerabilities.
processes to foster trust.
3. Proposed Model Workflow
 Accessibility: Creating an inclusive voting system for all
The research model workflow includes the following stages:
eligible users.
1. Pre-Election Phase:
 Scalability: Supporting elections of varying sizes, from
local to national levels.  Voter registration and authentication setup.
 System initialization and security setup, including
 Anonymity: Protecting voter privacy while maintaining blockchain deployment.
traceability for audits.
 Training sessions for voters and election officials.
2. Research Methodology
The methodology follows a hybrid approach, combining 2. Election Phase:
theoretical analysis, prototype development, and  Secure voter login using multi-factor authentication.
experimental validation. It consists of the following steps:
 Vote casting through a transparent and user-friendly
A. System Design interface.
 Identify user requirements and system specifications
through stakeholder consultations (e.g., election officials,  Real-time encryption and recording of votes on the
voters, and IT experts). blockchain.
 Monitoring and incident detection using AI tools.
 Develop an architecture that incorporates:
3. Post-Election Phase:
 Blockchain for immutable vote storage.
 Secure vote tallying using homomorphic encryption.

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