Page 689 - 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
 Public announcement of results with supporting VI. RESULT ANALYSIS
verifiable audit trails. Result Analysis
The result analysis evaluates the effectiveness of the
 Independent audits to confirm election integrity.
proposed e-voting system based on performance, security,
4. Evaluation Metrics transparency, usability, and stakeholder trust. The analysis is
 The system will be evaluated using the following derived from testing, simulations, and stakeholder feedback,
metrics: providing insights into the system’s strengths and areas for
improvement.
 Security: Measured by resistance to cyberattacks and
data breaches. 1. Performance Analysis
 System Scalability:
 Transparency: Assessed through independent audits and
 The system successfully handled simulated elections
public verifiability of results.
with increasing voter turnout (e.g., from 1,000 to
 Usability: Evaluated via user surveys and usability 1,000,000 voters) without noticeable degradation in
testing. performance.
 Performance: Measured by system responsiveness,  Average vote processing time remained under 2 seconds
scalability, and reliability under varying loads. per vote, demonstrating the system’s efficiency.
 Trustworthiness: Gauged through voter and stakeholder  System Reliability:
feedback.  Stress testing under peak loads showed consistent
uptime with no critical failures or downtime.
5. Expected Outcomes
 A secure, scalable, and transparent e-voting system Key Observation: The blockchain and encryption
prototype. mechanisms did not significantly impact performance,
proving the system is scalable and reliable.
 Enhanced voter confidence in the integrity of digital
elections. 2. Security Analysis
 Resistance to Cyber Threats:
 A validated model for future research and large-scale
 Penetration testing revealed no major vulnerabilities in
implementation.
vote encryption, blockchain storage, or authentication
This research model offers a comprehensive approach to mechanisms.
addressing the security, transparency, and usability  Simulated attacks, including hacking attempts and
challenges in e-voting systems, contributing to the broader denial-of-service (DoS) scenarios, were effectively
adoption of digital elections worldwide.
mitigated by the system.
V. PERFORMANCE EVALUATION
For overall performance measurement, a confusion matrix  Data Integrity:
 All votes stored on the blockchain were immutable and
and classification file are computed.
accurately recorded, ensuring no tampering occurred.
The method for evaluation metrics is as follows: The
 Voter Anonymity:
frequency with which the classifier plays an accurate
 Homomorphic encryption ensured the confidentiality of
vaticination is referred to as accuracy.
individual votes while enabling secure tallying.
It is decided via partitioning the amount of nicely grouped Key Observation: The use of advanced cryptography,
instances by means of the whole wide variety of instances.
blockchain, and biometric authentication successfully
Precision is a measure of how often the classifier accurately
addressed critical security concerns.
predicts a effective instance.
3. Transparency Analysis
,  Voter-Verifiable Audit Trails (VVAT):
 98% of test participants were able to verify their votes
Here TP is the real +ve, TN is the real -ve, FP is the fake +ve, using the audit trail without compromising privacy.
and FN is the fake -ve. It's computed through dividing the  Independent Audits:
entire of TP and FP via the overall quantity of real positives.
 External auditors verified the integrity of the election
Recall is a degree of how often the classifier effectively results using blockchain records, with 100% consistency
predicts a +ve example out of all +ve instances. between vote tallies and audit logs.
It's decided through isolating the  Public Accessibility:
 Transparency features, such as publicly available
amount of actual up-sides by means of the quantity of TP and
FN. blockchain data (without revealing voter identities),
enhanced trust.
Key Observation: The system achieved high transparency,
allowing both voters and auditors to verify election results
confidently.
The F1 rating is the balanced means of perfection and recall.
it's for a share of the classifier's exactness. 4. Usability Analysis
 Ease of Use:
F1 rating is identical to .  Usability testing with diverse user groups (including
those with limited digital literacy) showed that 92% of

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