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@article{180147,
        author = {Dr. Somu. K and Mr. Pandiyan.K. S and Arivumani.P and Arul.A and Sathish Kumar.A},
        title = {IoT Enabled Secure Voting System utilizing Fingerprint Authentication for Enhanced Security using Blowfish cipher},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {755-760},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180147},
        abstract = {Over the years, the voting process has faced 
issues with data security. Voting data can be easily 
exploited using the Internet of Things (IoT), yet the 
security of the prediction process is insufficient. To 
address the problems associated with the Blowfish 
cipher, encrypted and decrypted data from the voting 
process are considered. Furthermore, the Rivest
Shamir–Adleman cryptography is crucial for 
identifying sensitive and non-sensitive data and 
assessing key generation for public and private data 
within the individual process. Additionally, the 
Automated Fingerprint Identification System (AFIS) 
analyzes the pixels of the voting data. Calculating the 
height and width of the data enables automatic 
performance detection. Ultimately, the proposed 
method shows that these values relate to the voting data 
regarding security and performance efficiency. The 
voting data is a test and validation, ensuring more 
reliable and trustworthy results. To prevent multiple 
data entries for the same individual, verifying all votes 
in the database and maintaining a standardized, stable, 
and secure process is essential, making it applicable for 
broader performance use. The process is more reliable 
with a high level of performance, and the proposed 
method ensures standard scalability. The suggested 
techniques reduce time complexity and power 
consumption, achieving performance within an 
accurate range of 90%.},
        keywords = {},
        month = {June},
        }