Securing big healthcare data using attribute and honey-based encryption in cloud environment

Securing big healthcare data using attribute and honey-based encryption in cloud environment

연구 분야: Databases

학회: The Journal of Supercomputing

The recent advancements on the Internet of clinical things, intelligent agents, data frameworks, and cloud administrations has prompted a digitalized change in the health industry. The healthcare data has been processed using several software-based techniques over the years. The cloud environment is used to reduce the time and space complexity. The size of available healthcare dataset is increased using different augmentation techniques. However, hospitals and other healthcare organizations have been worried about privacy and security of patients’ data during transmission, storage, usage, and movement of information. During security breaches, several factors such as users, customers, partners, associations, and organizations are affected. This paper proposes an encryption framework that secures big data in healthcare on cloud technology. A ciphertext-policy attribute-based honey encryption (CP-ABHE) algorithm has been used to encode each sensitive public healthcare data document to enable the mechanism of versatile access control and fine-grained security for medical records. In the former stage, the security is enhanced with password protection, while in latter stage, honey words are produced to prevent unauthorized access by attackers.