SSR Method for Private Medical Data in HSN using Light Weight Encoding Method
Radhika Rani Chintala1, Somu Venkateswarlu2, M. Sri Lakshmi3
1Radhika Rani Chintala, Department of CSE, KLEF, Vaddeswaram, Guntur (Andhra Pradesh), India.
2Somu Venkateswarlu, Department of CSE, KLEF, Vaddeswaram, Guntur (Andhra Pradesh), India.
3M. Sri Lakshmi, Department of CSE, KLEF, Vaddeswaram, Guntur (Andhra Pradesh), India.
Manuscript received on 25 March 2019 | Revised Manuscript received on 06 April 2019 | Manuscript Published on 18 April 2019 | PP: 705-710 | Volume-7 Issue-6S March 2019 | Retrieval Number: F03380376S19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A human network (HSN) is a system of small, commercially available and relatively weak sensors implanted on patient’s body for reading various parameters from patient body viz., heart rate, pulse rate etc.. As these readings are patient specific they must be properly encrypted and securely stored. The present paper proposes the development o of a Secure Storage and Retrieval (SSR) Method, is a method which is lightweight identity-based suitable for small sensors used in a HSN. Algorithms that are discussed are derived from SSR Method which balances privacy & security with availability. The experiments are conducted using the sensors which are cheaply available in the commercial market.
Keywords: Human Sensor Network, SSR Method, Privacy and Security.
Scope of the Article: Streaming Data