The advancement of blockchain has
facilitated scholars to remodel e-voting systems for
future generations. Server-side attacks like SQL injection
attacks and DOS attacks are the most common attacks
nowadays where malicious codes are injected into the
system through user input fields by illicit users which
leads to data leakage in the worst scenarios. Besides,
Quantum attacks are also there which manipulate the
transactional data between blocks in the blockchain.
Stale Block and Blockchain forks are also one of the
main issues in existing blockchain-led e-voting systems.
In order to deal with all the above-mentioned attacks,
integration of Blockchain, CNN & Quantum Key
Distribution is done in this very research. In, e-voting
systems the employment of blockchain technology is not
a novel concept. But privacy and security issues are still
there in public and private blockchains. To solve this,
Blockchain, CNN & QKD-based proposed model is
introduced in this research. This research proposed
cryptographic signatures and blockchain smart contract
algorithms to validate the origin and integrity of the
votes. Also, a comparison between previous smart
contract algorithms and proposed smart contract
algorithms is done in terms of time complexity.
Keywords : Hybrid Blockchain, Secure e-Voting System, Convolutional Neural Networks, Quantum Key Distribution.