Multi-Level Authentication Scheme for Improving Privacy and Security of Data in Decentralized Cloud Server

Pavani, V.; K, Santhi Sri.; P, Sandhya Krishna.; Narayana, V. Lakshman

doi:10.1109/icosec51865.2021.9591698

Cited by 12 publications

(1 citation statement)

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“…Decentralized Access Control for the Internet of Things using decentralized identifiers and multi-signature smart contracts is a solution to the problems associated with centralized authentication in [40]. A multi-level authentication scheme is introduced in [41] to improve the privacy and security of data in a decentralized cloud service. Confidentiality, integrity, and availability of data and services are considered crucial in the IoT world.…”

Section: Related Workmentioning

confidence: 99%

Snap IoT: A Decentralized Network Design Model

Reed,

Şaman Tosun,

Korkmaz

2024

IEEE Access

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IoT edge computing is a network design model that captures and processes data at the network edge. The results are forwarded to a cloud service or, if additional processing is needed, a middle tier. By processing data at the edge and middle tier, edge networks achieve better load-balancing and improve performance; however, traditional edge network deployments represent a rigid participation model. Edge networks require physical access to an IoT device and often lock the device to a single edge network. These constraints make it difficult to construct the ideal network, as they reject IoT devices deployed at the network edge but not owned by the network administrator. Our goal is to remove these limitations by creating a network protocol that supports broader participation of IoT devices, cryptographically secures network data, and improves network performance by increasing captured data at the network edge. The protocol is named Snap to symbolize the ease of self assembly. Our experimental research focuses on temperature stability and the cycle efficiency of an HVAC system by utilizing a Snap network to combine two existing edge networks and increase the number of temperature measurement points. The additional measurement points improved the efficiency of the HVAC cycle strategy by increasing the square footage of measured building space. The additional temperature capture points supported an adjustment to the HVAC cycle strategy which resulted in reducing the disparity between the requested temperature and the resulting temperatures. Snap networks support a broader range of IoT sensors leading to increased measurement density, sample rate frequency, and coverage of the network edge.

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Section: Related Workmentioning

confidence: 99%