Homomorphic Encryption for Cluster in Cloud

Vamshinath, N.; Ramya, K.; Krishna, Sai; Bhaskar, P. Gopi; Mwaseba, Geofrey L.; Kim, Tai-hoon

doi:10.14257/ijsia.2015.9.5.31

Cited by 2 publications

(1 citation statement)

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“…Among biometrics the fingerprint biometrics is more efficient and affordable biometrics [21]. And methodologies about the internet security, aspects of security, encryption methodologies have been proposed by the authors [22][23][24][25][26].…”

Section: Biometric Based Mostly Authentication and Iot Domainmentioning

confidence: 99%

An Efficient and Secured Biometric Authentication for IoT

K¹

2019

IJETER

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The Internet of Things (IoT) is that the ability to produce everyday devices with the way of identification and otherwise for communication with one nother. The spectrum of IoT application domains is extremely massive together with sensible homes, sensible cities, wearable's, e-health, etc. Consequently, tens and even many billions of devices are going to be connected. Such devices can have sensible capabilities to gather, analyze and even create selections with none human interaction. Security may be a supreme demand in such circumstances, associated specially authentication is of high interest given the injury that might happen from a malicious unauthenticated device in an IoT system. Fingerprint based mostly biometry authentication approaches can enhance the protection in several industries and endless applications reminiscent of police work, automotive business, sensible town development, sensible home etc. This paper presents the fingerprint {based mostly primarily based mostly} identification for breakdown the protection challenges in IoT based applications.

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