Using Blockchain in Voting Apps for Mobile Devices
The Requirement of Safe Election Procedures
Democracy is based on the right to vote, and preserving public confidence in the voting process depends on its integrity. Nevertheless, conventional voting methods—whether paper-based or electronic—are vulnerable to fraud and other types of manipulation. Election integrity can be harmed by problems including ballot stuffing, voter impersonation, and result manipulation. Furthermore, cybersecurity risks frequently target electronic voting systems, leaving them open to hacking and data breaches.
An increasing number of people are interested in using blockchain technology in voting systems to overcome these issues. The decentralized and unchangeable characteristics of blockchain technology make it the perfect choice for guaranteeing the safety and openness of the voting procedure.
Gaining Knowledge of Blockchain Technology
Blockchain is a distributed ledger technology that uses several computers to record transactions while guaranteeing the security, transparency, and immutability of the data. A blockchain, or chain of blocks, is created when each transaction is added to a block and that block is connected to the one before it. An whole copy of the blockchain is kept up to date on each node in the network that manages this chain of blocks.
Among the blockchain's primary characteristics are:
- Decentralized systems: Because blockchain relies on a decentralized network of nodes rather than traditional centralized systems, it is immune to cyberattacks and single points of failure.
- Unchangeability: A transaction cannot be changed or removed from the blockchain once it has been recorded there. This guarantees the data's integrity.
- Ethical behavior: A high degree of transparency is provided by the fact that every transaction registered on the blockchain is accessible to every member of the network.
- Security: Blockchain protects data from unwanted access and enables secure transactions through sophisticated cryptographic mechanisms.
Using Blockchain in Voting Apps for Mobile Devices
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)
Many of the issues that traditional voting systems experience can be resolved by incorporating blockchain technology into voting apps for mobile devices. Here are a few of the main advantages:
- Enhanced Security: Votes are safely recorded and unchangeable thanks to blockchain's cryptographic security. By doing this, the possibility of hacking and other cyberattacks is decreased.
- Transparency and Trust: Because blockchain technology is transparent, any participant may independently confirm the outcomes. Voter confidence in the fairness of the electoral process is increased as a result.
- Unchangeable Documents: Votes on the blockchain cannot be removed or changed once they are registered. By doing this, the voting records' integrity and correctness are guaranteed.
- Decentralization: Blockchain lowers the possibility of fraud and manipulation by doing away with the requirement for a central authority. Because blockchain technology is decentralized, the voting process will continue to function even in the event that a few network nodes malfunction.
- Accessibility: Blockchain-based mobile app voting systems can make voting more accessible for voters by enabling them to safely cast their ballots using their cellphones from any location.
India's Need for Dedicated Developers
The creation of a safe and effective voting system for mobile apps based on blockchain calls for specific knowledge and abilities. This is where working with committed Indian developers can be really advantageous. Thanks to its large pool of brilliant engineers who are knowledgeable about the newest technologies, including blockchain, India has become a global center for IT services.
The following are some benefits of employing dedicated developers in India:
- Economic Viability: When compared to other locations, hiring developers in India is frequently less expensive without sacrificing the caliber of the work.
- Knowledge: Blockchain development is one of the many technologies in which Indian developers are renowned for their proficiency. They are knowledgeable with the most recent developments and industry best practices.
- Availability: India has a sizable developer pool, which facilitates the search for the best personnel to meet project-specific needs.
- Quality Assurance: A lot of Indian IT firms guarantee high-quality deliveries by adhering to global standards and best practices.
- Time Zone Advantage: Project completion is accelerated due to round-the-clock development and assistance made possible by the time zone difference between India and Western nations.
Indian Companies Developing Fitness Apps
Although the main goal of this article is to use blockchain technology to vote systems, it's important to recognize the experience of Indian companies that make fitness apps. These businesses have a great deal of experience creating mobile applications that need to be highly secure, private, and engaging for users. Their knowledge will come in very handy when creating voting apps that run on blockchain.
The following are some of the main advantages of Indian fitness app development companies:
- User-Centric Design: User-friendly interfaces and captivating user experiences are critical to the success of a mobile voting app, and fitness app development company India are adept at producing them.
- Data Security: Sensitive user data, such as health information, is handled by fitness apps. Because of this, many businesses place a high priority on data security and privacy, which is also crucial for voting apps.
- Integration with Wearables: A lot of fitness apps work with wearable technology; however, managing real-time data and guaranteeing smooth connectivity are skills that are required. Developing voting apps that could need system integration can benefit from this experience.
- Scalability: Companies that produce fitness apps have expertise creating scalable systems that can manage a big user base, so the voting app can support a high voter turnout.
Obstacles and Things to Think About
Although blockchain technology has notable benefits for voting systems within mobile apps, there exist some obstacles and factors that must be taken into account.
- Complexity of Technology: A blockchain-based voting system's development is a technically challenging process that calls for certain knowledge. It is crucial to guarantee the system's performance, scalability, and security.
- Regulatory Compliance: Voting systems have to abide by a number of rules and regulations. It is crucial to make sure the blockchain-based voting system complies with these specifications.
- Education of Voters: Voters must be informed about the advantages of blockchain technology as well as how to utilize the new voting method. Outreach and efficient communication are needed for this.
- Accessibility: Although voting via mobile apps can increase accessibility, it's crucial to make sure that all voters, including those with impairments, can utilize the system with ease.
- Price: It can be expensive to implement a blockchain-based voting system, and funding the project can be difficult to come by.
Examples and Case Studies
The application of blockchain technology to voting systems has been investigated by a number of global groups and efforts. Here are few instances:
- Voatz: A blockchain-based voting platform called Voatz has been implemented in multiple US trial programs. Voters may use their smartphones to safely cast their ballots thanks to it. Party conventions and local elections have made use of the platform, showcasing blockchain's promise for safe and convenient voting.
- Click Here to Vote: A blockchain-based voting technology called Follow My Vote seeks to offer a transparent and safe voting process. Voters may independently check their votes on the platform, which employs blockchain technology to guarantee the integrity of the voting process.
- Leonardia: For the 2018 presidential elections, Sierra Leone implemented a blockchain-based trial project. The project showcased blockchain technology's potential for use in elections in developing nations while also working to increase voting process security and transparency.
Prospects for the Future and Conclusion
There is a lot of potential for improving voting process security, transparency, and accessibility through the use of blockchain technology into mobile app voting systems. We can solve many of the problems with conventional voting methods and create a more reliable and effective political process by utilizing blockchain technology.
Blockchain-based voting systems can be successfully developed and implemented by utilizing the experience of fitness app development businesses in India and hiring committed developers from India. The aforementioned developers and firms possess an abundance of experience, technical know-how, and economical solutions that can aid in surmounting the obstacles
linked to blockchain technology.
We should anticipate seeing a greater global usage of blockchain-based voting systems as the technology advances. We can fortify the pillars of democracy and guarantee that every vote is counted in a safe and transparent manner by adopting this cutting-edge technology.