A Method of Signal Scrambling to Secure Data Storage for Healthcare Applications

Abstract

Abstract-A body sensor network that consists of wearable and/or implantable biosensors has been an important front-end for collecting personal health records. It is expected that the full integration of outside-hospital personal health information and hospital electronic health records will further promote preventative health services as well as global health. However, the integration and sharing of health information is bound to bring with it security and privacy issues. With extensive development of healthcare applications, security and privacy issues are becoming increasingly important. This paper addresses the potential security risks of healthcare data in Internet based applications, and proposes a method of signal scrambling as an add-on security mechanism in the application layer for a variety of healthcare information, where a piece of tiny data is used to scramble healthcare records. The former is kept locally whereas the latter, along with security protection, is sent for cloud storage. The tiny data can be derived from a random number generator or even a piece of healthcare data, which makes the method more flexible. The computational complexity and security performance in terms of theoretical and experimental analysis has been investigated to demonstrate the efficiency and effectiveness of the proposed method. The proposed method is applicable to all kinds of data that require extra security protection within complex networks.

Enhancing Security of Health Information Using Modular Encryption Standard in Mobile Cloud Computing

“…While sharing and performing the integration of E-health information, to tackle the security and privacy challenges, this manuscript focused on providing a solution to these challenges at the Internet applications. Bao et al [28] proposed an application layer based signal scrambling scheme (to scramble the healthcare information, a tiny data is utilized). A random number generator or a piece of data is utilized for the tiny data derivation (that increases the flexibility of the scheme).…”

A Secure Energy-Saving Communication and Encrypted Storage Model Based on RC4 for EHR

“…For the storage security of data in cloud environment, in [23], Bao et al proposed a new signal scrambling method to protect sensitive medical data and solve the security problems in complex network environments and sensitive data. In [24], Xue et al presented a method combining cloud-side and data owner-side access control in encrypted cloud storage to resist DDoS/ESS attacks, provide resource consumption statistics, and reduce the system's construction overhead.…”

Protected Entree Design for Big Data Knowledge in Cloud

“…But when specific time arrives it decrypt the cipher text and does not support designated cipher text. [27] This paper implemented implantable bio sensor. It collects personal or tiny data and health record of the patient in a front end integration.…”