Secure Medical Data Transmission in Body Area Sensor Networks Using Dynamic Biometrics and Steganography
Journal Title: Bonfring International Journal of Software Engineering and Soft Computing - Year 2012, Vol 2, Issue 1
Abstract
In this paper, we have used ECG signal for secure key exchange between two nodes of the same Body Sensor Network (BSN). InterPulsed Interval (IPI) of the ECG signal is considered as a biometric characteristic for key generation because of its high randomness, time variance properties and also to avoid interference between the other BSNs. The body sensor node to base station (PDA or Laptop) communication has been secured using the symmetric cryptographic algorithm AES and integrity is checked by using the Message Authentication Code (MAC). Steganography is used for securing the data transfer between base station and medical server. In this work, we have embedded the medical data (Blood Pressure) within the patients? facial image. The face image is selected as a cover image in order to provide authentication. The pixel positions for embedding the medical data are determined by fixing a threshold level (120-126). This threshold value is chosen so as to have high random distribution throughout the image. The results have been shown using MATLAB 7.8.0.
Authors and Affiliations
Rekha R, Gayathri Mathambigai T, Dr. R. Vidhyapriya
Keywords
Related Articles
- EP ID EP120102
- DOI 10.9756/BIJSESC.1125
- Views 107
- Downloads 0
A Study of Data Storage Security Issues in Cloud Computing
Cloud computing provides on demand services to its purchasers. Knowledge storage is among one in every of the first services provided by cloud computing. Cloud service supplier hosts the information of knowledge owner on...
Networks Flaws and Filtering Using KNOD Algorithms
Substantial simulations going from equipped along with attached chip show up that fact our coordination in attaining rich disappointment contribution moreover misleading portrait, as a consequence low conversation cost o...
A Survey on Analysis of Chronic Diseases Prediction in Big Health Care Data Using IoT-WBANs
Electronic & mobile ? Healthcare system still now a day?s faces a lot of challenges. To addressing those troubles, the medical system structure is planned for collecting the related information about these facts as of wi...
Dynamics User Identification Using Pairwise Client Coupling
In this paper due to the increasing vulnerabilities in the internet, security alone isnt sufficient to keep a rupture, however digital crime scene investigation and cyber intelligence is also required to prevent future a...