Literature DB >> 36236664

A Review of Functional Encryption in IoT Applications.

Khurram Shahzad1, Tanveer Zia1,2, Emad-Ul-Haq Qazi2.   

Abstract

The Internet of Things (IoT) represents a growing aspect of how entities, including humans and organizations, are likely to connect with others in their public and private interactions. The exponential rise in the number of IoT devices, resulting from ever-growing IoT applications, also gives rise to new opportunities for exploiting potential security vulnerabilities. In contrast to conventional cryptosystems, frameworks that incorporate fine-grained access control offer better opportunities for protecting valuable assets, especially when the connectivity level is dense. Functional encryption is an exciting new paradigm of public-key encryption that supports fine-grained access control, generalizing a range of existing fine-grained access control mechanisms. This survey reviews the recent applications of functional encryption and the major cryptographic primitives that it covers, identifying areas where the adoption of these primitives has had the greatest impact. We first provide an overview of different application areas where these access control schemes have been applied. Then, an in-depth survey of how the schemes are used in a multitude of applications related to IoT is given, rendering a potential vision of security and integrity that this growing field promises. Towards the end, we identify some research trends and state the open challenges that current developments face for a secure IoT realization.

Entities:  

Keywords:  IoT; blockchain; data sharing; e-Health; fog and cloud computing; functional encryption; privacy; security

Year:  2022        PMID: 36236664      PMCID: PMC9573314          DOI: 10.3390/s22197567

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.847


  5 in total

1.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  Ann Intern Med       Date:  2009-07-20       Impact factor: 25.391

2.  Unsupervised discovery of nonlinear structure using contrastive backpropagation.

Authors:  Geoffrey Hinton; Simon Osindero; Max Welling; Yee-Whye Teh
Journal:  Cogn Sci       Date:  2006-07-08

Review 3.  Machine learning: Trends, perspectives, and prospects.

Authors:  M I Jordan; T M Mitchell
Journal:  Science       Date:  2015-07-17       Impact factor: 47.728

4.  Secure IoT in the Era of Quantum Computers-Where Are the Bottlenecks?

Authors:  Maximilian Schöffel; Frederik Lauer; Carl C Rheinländer; Norbert Wehn
Journal:  Sensors (Basel)       Date:  2022-03-24       Impact factor: 3.576

5.  Combining IOTA and Attribute-Based Encryption for Access Control in the Internet of Things.

Authors:  Yuanyu Zhang; Ruka Nakanishi; Masahiro Sasabe; Shoji Kasahara
Journal:  Sensors (Basel)       Date:  2021-07-26       Impact factor: 3.576

  5 in total

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