Source abstract
Abstract
Wearable technology-supported cloud-based smart health (s-health) has emerged as a promising answer to increase the efficiency and quality of healthcare as a result of rapid improvements in Internet of Things (IoT) technologies. However, the issues of data security and privacy preservation have not been fully resolved. In recent years, ciphertext policy attribute-based encryption (CP-ABE), which was developed as a versatile and potent cryptographic fundamental to accomplish one-to-many encryption with fine-grained access control, has been seen as a viable answer to the security issue in the cloud. The attribute values in the access policy, however, are supplied in cleartext in standard CP-ABE. This will conveniently reveal the data owners’ privacy (patients). Because the Internet of Things (IoT) in healthcare stores sensitive data in the cloud, security is crucial. The data must always be accessed via an access key when using traditional encryption techniques. Though the data cannot be accessed right away in an emergency, this offers greater security. The healthcare IoT created the break-glass concept to address this. The encryption technique is integrated with the broken glass idea to offer data protection and simple access in emergency scenarios. The majority of research papers employ cypher text policy attribute-based encryption (CP-ABE) with the broken glass idea to secure electronic health records. For improving data accessibility in the smart healthcare environment, modified cypher text policy attribute-based encryption (MCP-ABE) with the broken glass (BG) technique is suggested. Greater information security is achieved with this method, but the access policy is also dependent on keys that are vulnerable to hacking. To analyze the access policy individually throughout the key generation process, the attribute-based encryption procedure in this case uses the bloom filter. Information about the access policy is kept intact, which enhances the security of the keys. To continue serving patients and saving their lives, this modified CP-ABE is integrated with break glass in the smart healthcare facility. The experimental results demonstrated that, when compared to the lightweight break-glass procedure, the proposed solution is likewise the best in terms of decreased overhead. The main benefit of this strategy is that it uses the bloom filter concept in the MCP-ABE process, which protects the access policy attributes, to ensure that the key is never compromised. For data access in smart healthcare to preserve patients’ lives, the proposed MCP-ABE with broken glass is best.
Source: crossref · Quality: baseline
Affiliations
Department of Engineering-Electrical Section, University of Technology and Applied Sciences, Shinas Campus, Shinas 324, Oman
Department of Computer Science and Engineering, CMR Technical Campus, Kandlakoya, Hyderabad 501401, India
Department of Electronics and Communications Engineering, Dhanalakshmi College of Engineering, Manimangalam, Tambaram, Chennai 601301, India
Department of Electronics and Communication Engineering, Kathir College of Engineering, Neelambur, Coimbatore 641062, India
Department of Computer Science and Engineering, St. Joseph’s College of Engineering, Chennai 600119, India
Department of Computer Science, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia
Spectrum of Knowledge Production & Skills Development, Sfax 3027, Tunisia
Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
Faculty of Engineering, Uni de Moncton, Moncton, NB E1A 3E9, Canada
International Institute of Technology and Management, Commune d’Akanda, Libreville P.O. Box 1989, Gabon
School of Engineering, Canadian Institute of Technology, Kompleksi Xhura, Rruga Xhanfize Keko 12, 1000 Tirana, Albania
School of Electrical Engineering, Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa
Funding
Princess Nourah bint Abdulrahman University Researchers Supporting