Maximum Decision Support Regression-Based Advance Secure Data Encrypt Transmission for Healthcare Data Sharing in the Cloud Computing
- Title
- Maximum Decision Support Regression-Based Advance Secure Data Encrypt Transmission for Healthcare Data Sharing in the Cloud Computing
- Creator
- Anusuya V.; Bejoy B.J.; Ramkumar M.; Shanmugaraja P.; Dhiyanesh B.; Kiruthiga G.
- Description
- The recent growth of cloud computing has led to most companies storing their data in the cloud and sharing it efficiently with authorized users. Health care is one of the initiatives to adopt cloud computing for services. Both patients and healthcare providers need to have access to patient health information. Healthcare data must be shared and maintained more securely. While transmitting health data from sender to receiver through intermediate nodes, intruders can create falsified data at intermediate nodes. Therefore, security is a primary concern when sharing sensitive medical data. It is thus challenging to share sensitive data in the cloud because of limitations in resource availability and concerns about data privacy. Healthcare records struggle to meet the needs of security, privacy, and other regulatory constraints. To address these difficulties, this novel proposes a machine learning-based Maximum Decision Support Regression (MDSR)-based Advanced Secure Data Encrypt Transmission (ASDET) approach for efficient data communication in cloud storage. Initially, the proposed method analyzed the node's trust, energy, delay, and mobility using Node Efficiency Hit Rate (NEHR) method. Then identify the efficient route using an Efficient Spider Optimization Scheme (ESOS) for healthcare data sharing. After that, MDSR analyzes the malicious node for efficient data transmission in the cloud. The proposed Advanced Secure Data Encrypt Transmission (ASDET) algorithm is used to encrypt the data. ASDET achieved 92% in security performance. The proposed simulation result produces better performance compared with PPDT and FAHP methods. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Source
- Lecture Notes in Networks and Systems, Vol-672 LNNS, pp. 39-51.
- Date
- 2023-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- ASDET; Cloud computing; Delay; Energy; Health care; Machine learning; Malicious node; MDSR; NEHR; Security
- Coverage
- Anusuya V., Associate Professor/CSE, Ramco Institute of Technology, Rajapalayam, India; Bejoy B.J., Assistant Professor/CSE, CHRIST (Deemed to Be University), Bangalore, India; Ramkumar M., Associate Professor/CSBS, Knowledge Institute of Technology, Salem, India; Shanmugaraja P., Associate Professor/IT, Sona College of Technology, Salem, India; Dhiyanesh B., Associate Professor/CSE, Dr. N.G.P. Institute of Technology, Coimbatore, India; Kiruthiga G., Associate Professor/CSE, IES College of Engineering, Thrissur, India
- Rights
- Restricted Access
- Relation
- ISSN: 23673370; ISBN: 978-981991623-8
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Anusuya V.; Bejoy B.J.; Ramkumar M.; Shanmugaraja P.; Dhiyanesh B.; Kiruthiga G., “Maximum Decision Support Regression-Based Advance Secure Data Encrypt Transmission for Healthcare Data Sharing in the Cloud Computing,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19908.