| Title |
Privacy-Preserving E-Fir Systems Using Blockchain And Enhanced Silk Moth Optimization |
| ID_Doc |
43176 |
| Authors |
Priscilla E.J.; Nallusamy S.; Sobya D.; Divya P. |
| Year |
2025 |
| Published |
International Journal of Engineering Trends and Technology, 73, 5 |
| DOI |
http://dx.doi.org/10.14445/22315381/IJETT-V73I5P128 |
| Abstract |
Currently, various forms of crime are happening worldwide. The document prepared to file any perceptible crimes committed is called the Electronic First Information Report (e-FIR). These records make it possible to be systematically registered, but there is a potential threat of unauthorized access through hacking. For this reason, this database has serious problems with data integrity and transparency. The submitted concept presents a clarification as an essential component of a smart city environment. However, there are many risks to the information collected, especially those with centralized management. Thus, a novel blockchain-based platform has been introduced for the safe and privacy maintenance of criminal data. This network is divided into multiple channels to protect the anonymity of the data. The new Spiral Silk Moth Optimization Algorithm (SSMOA) is utilized to generate an effective key for the blockchain encryption module in cloud systems. It makes use of smart contract-controlled private blockchains to guarantee secured data storage. The combined compression and synchronized optimization raise the rapid security of privacy details. The suggested smart contract-based paradigm eliminates the necessity for a third trusted party by enabling users to negotiate suspicions using transparent and immutable data. By comparing the execution time of key retrieval and block execution timings, the submitted work has proved to be the best concept through simulation strategy. © 2025 Seventh Sense Research Group® |
| Author Keywords |
Blockchain; Compression; Criminals; Encryption key; FIR; Optimization; Security; Smart city |
