Medical Data Security for Healthcare Applications Using Hybrid Lightweight Encryption and Swarm Optimization Algorithm
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Medical Data Security for Healthcare Applications Using Hybrid Lightweight Encryption and Swarm Optimization Algorithm K. Tamilarasi1 · A. Jawahar2
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In medical field, securing every patient’s record is main concern, ascribed to many fraudulent cases occurring in the health sector. The data of every individual must be engraved and sent into end-user without any issues. Mainly in the healthcare industry, where thoughts are often focused on saving someone’s life and rightly so, but securing access to interfaces and computer systems that store private data like medical records is also an essential factor to consider. Data security is a corresponding action between controlling access to information while allowing free and easy access to those who need that information. Still few problems are focused by the physician in the health sector. Patient’s data should be kept securely in medical provider servers so that physicians can provide proper treatments. To ensure secure storage and access management, we propose a novel hybrid lightweight encryption using swarm optimization algorithm (HLE–SO).The proposed HLE–SO technique merge Paillier encryption and KATAN algorithm, which provides the lightweight features. Generally, the lightweight encryption algorithms are affected by the key space. We introduce the swarm optimization algorithm to optimize the key space by changing the number of iteration round. Our main goal is to encrypt the medical data (EEG signal) and send to end user by utilizing proposed HLE–SO method. Finally, the implementation is done with MATLAB tool with different EEG signal data set. The simulation results of proposed HLE–SO technique is compared with the existing state-of-art techniques in terms of different performance metrics are MSE, PSNR, SSIM, PRD, encryption time and decryption time. Keywords Data security · Encryption · Swarm optimization algorithm · EEG · Decryption
* K. Tamilarasi [email protected] A. Jawahar [email protected] 1
Department of Information Technology, Rajalakshmi Engineering College, Chennai, India
2
Department of Electronics and Communication Engineering, SSN College of Engineering, Chennai, Tamilnadu, India
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K. Tamilarasi, A. Jawahar
1 Introduction For all health maintenance organizations (HMO), the existing government is initialized implemented the Existing government is universal electronic health record (EHR). The most vital thing considered in Healthcare information systems (HIS) [1, 2] are enhancing US healthcare value and decreasing the costs. Based on the current RAND review, the US were able to highly minimize manual work time by using EHR system. However information technology (IT) spending in healthcare service division trails that of different undertakings, conventionally in 3–5% of pay, a long ways behind adventures like budgetary associations where closer to 10% are the standard [3, 4]. Record certifications from advancing years propose n
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