Fuzzy boneh–franklin self-generated endorsement key based certificateless signcryption for secured data communication in WBAN

Abstract

The data communication among the patients and application providers in WBAN is secured to increase the confidentiality
level. Few cryptographic techniques were designed in WBAN to attain secured and privacy preserved data transmission.
But, the data confidentiality level and computational overhead of existing cryptographic techniques were not sufficient. In
order to address these limitations, Fuzzy Boneh–Franklin Endorsement Public-key Based Certificateless Signcryption
(FBEP-CS) Technique is proposed. The FBEP-CS Technique is designed with the key objective of attaining secure
communication in WBAN. The FBEP-CS Technique at first generates endorsement public key and private key for each
patient and application provider in WBAN. Then for and each gathered medical data of the patient, FBEP-CS Technique
produces cipher text and the digital signature with help of Boneh–Franklin Data Signcryption. The formulated cipher text
and digital signature are sent to application provider in WBAN. At the receiver side, FBEP-CS Technique performs fuzzy
digital signature authentication to authenticate the receiver and thereby allows only a legal user to get original medical data
with lower time. Therefore, FBEP-CS Technique obtains higher secure communication in WBAN with minimal
computational overhead. The FBEP-CS Technique carried outs simulation process using parameters such as data
confidentiality level, data loss rate, computational overhead with respect to a various number of medical data and sensor
nodes. The simulation result depicts that the FBEP-CS Technique able to increase the data confidentiality level and
computational overhead of remote health monitoring as compared to the state-of-the-art works.