Blockchain for Machine Learning: Security and Trust in Data Sharing

Data security has become the most important things in this current digitalized environment. As in this era, each process leaves a digital footprint and it requires significant monitoring to maintain trust of stakeholders. It necessitates the companies to evaluate their necessary information including the sensitive and confidential data as per their requirements while maintaining data security and customers’ trustworthiness. While managing data security, companies require limited accessibility of their confidential business information. Personal and private information are the most commonly targeted dataset for hackers in this technological age. Since ML is efficient in evaluating huge datasets, companies must prioritize the potential security concerns. To use artificial intelligence (AI) and ML-driven technologies widely, blockchain has become significant to develop faith among the stakeholders. The research evaluates the efficiency of blockchain technology in improving data security while suggesting its integration with ML-based business approaches.