Affiliations: School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India
Correspondence:
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Corresponding author: Sumit Kumar, School of Computer Science, %****␣idt-13-idt170182_temp.tex␣Line␣25␣**** University of Petroleum and Energy Studies, Dehradun, India. E-mail: Sumitaggarwal001@gmail.com.
Abstract: Wireless Body Area Network (WBAN) has been emerged as a recent development in technology, which provides convenience to monitor patient health remotely. E-healthcare management has largely promoted by WBAN. It eases the life style of patient and refrain them from visiting hospital regularly. At present, E-healthcare is facing the issues of secure information transmission over public network and assistance to hospital staff for disease identification based on information collected from wearable sensors. In this paper, to preserve confidentiality of messages, knapsack cryptosystem based solution have proposed. To authenticate transmission of data in wireless body area network, we have proposed an improved batch verification based digital signature scheme that improve the computational efficiency of underlying algorithm. Computing one-way hash for generation of digital signature is not required in proposed algorithm and hence provide a lightweight security mechanism suitable for resource constraint wearable sensors. A mechanism has proposed which facilitate the doctors to identify the disease probability by a probabilistic method of logistic regression. Further, a tree based batch validation approach has also proposed for vulnerable network. To validate the security of proposed scheme, various attacks have verified that the scheme has been capable to resist. Performance improvement in digital signature verification scheme has demonstrated and validated using implementation results.
Keywords: Wireless body area network, logistic regression, prediction model, batch verification, knapsack crypto system, security, privacy and authentication, recovery based digital signature
