SecureOpinion is a fully decentralised, secure, privacy-preserving openly accessible opinion-sharing platform.
Online opinions, whether right or wrong, can significantly influence people to make decisions across various domains, from consumers buying products to sharing political ideologies and voting on certain issues. Fake reviews, spoofed and compromised identities, and sponsored accounts might be involved in coordinated campaigns of disinformation that can distort public perception, damage reputations, and erode trust in online information. The current opinion sharing systems are centralised, that could allow data or opinion manipulation and censorship. Furthermore, whistleblowers or legitimate users such as journalists or human rights activists hesitate to express their honest opinions due to the fear of surveillance, retaliation, personal attacks, or reputation damage. In this project, we investigate the solution that leveraged the decentralised blockchain system to create a secure and privacy-preserving solution for public opinion sharing on online platforms, fostering increased trust and transparency. The proposal would investigate how blockchain technology can strengthen the security of public opinion sharing by establishing a tamper-resistant, decentralised ledger to record and verify user interactions and content dissemination. We would employ the zero-knowledge proof with the identity to ensure anonymity while still providing verifiability. The proposed solution embraces a user-centred strategy by giving priority to user experience, privacy, and democratic principles.
Dr. Habib Ur Rehman
Dr. Habib Ur Rehman is a senior researcher and consultant at Innobox Ltd, U.K. His research interests include blockchain technologies, distributed systems and federated learning.
Dr. Muhammad Alam
Dr. Muhammad Alam, Senior Researcher and Director at Innobox Ltd, U.K. His research expertise are in distributed systems and smart cities applications.
Prof. Ali Kashif Bashir
Prof. Ali Kashif Bashir, Professor of Computer Networks and Cybersecurity, Manchester Metropolitan University, UK. He is the leader of: Secure and Intelligent Systems Research Group; Future Networks Lab; IoT/Cybersecurity Testbed; and Co-Lead of AI Safety and Security, MMU-Turing Network.
Dr. Muhammad Ajmal Azad
Dr Muhammad Ajmal Azad is a Consultant at Innobox Ltd, U.K. His research interests broadly cover the areas of network security and privacy.
Innobox LTD is a private limited company that provides research and experimental development..
Website: https://innobox.co.uk/
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