Cited by 764IoT and Edge/Fog ComputingInternet of Things and AINetwork Security and Intrusion Detection

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

IoT Privacy and Security: Challenges and Solutions

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Abstract

Privacy and security are among the significant challenges of the Internet of Things (IoT). Improper device updates, lack of efficient and robust security protocols, user unawareness, and famous active device monitoring are among the challenges that IoT is facing. In this work, we are exploring the background of IoT systems and security measures, and identifying (a) different security and privacy issues, (b) approaches used to secure the components of IoT-based environments and systems, (c) existing security solutions, and (d) the best privacy models necessary and suitable for different layers of IoT driven applications. In this work, we proposed a new IoT layered model: generic and stretched with the privacy and security components and layers identification. The proposed cloud/edge supported IoT system is implemented and evaluated. The lower layer represented by the IoT nodes generated from the Amazon Web Service (AWS) as Virtual Machines. The middle layer (edge) implemented as a Raspberry Pi 4 hardware kit with support of the Greengrass Edge Environment in AWS. We used the cloud-enabled IoT environment in AWS to implement the top layer (the cloud). The security protocols and critical management sessions were between each of these layers to ensure the privacy of the users’ information. We implemented security certificates to allow data transfer between the layers of the proposed cloud/edge enabled IoT model. Not only is the proposed system model eliminating possible security vulnerabilities, but it also can be used along with the best security techniques to countermeasure the cybersecurity threats facing each one of the layers; cloud, edge, and IoT.

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Crossref · 10.3390/app10124102

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  1. Izzat, A., Chuck, E., and Lo’ai, T. (2020). The NICE Cyber Security Framework, Cyber Security Management, Springer.

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Metadata

Authors
Tawalbeh, L., Muheidat, F., Tawalbeh, M., & Quwaider, M.
Affiliations
  • Texas A&M University – San Antonio (US)
  • California State University, San Bernardino (US)
  • Jordan University of Science and Technology (JO)
Corresponding author
Tawalbeh, Lo’ai
Venue
Applied Sciences
Publisher
MDPI AG
Published
2020-06-15
Volume
10
Issue
12
Pages
4102
ISSN
2076-3417 (ISSN-L)
OpenAlex
W3034175800
Cited by
764
References
27
Citations by year
2026: 53 · 2025: 150 · 2024: 173 · 2023: 160 · 2022: 121 · 2021: 96 · 2020: 10
FWCI
45.47
Type
journal article
Language
en
Open access
Locations
  • Applied Sciences (publishedVersion, cc-by)
  • Digital Commons @ Texas A&M University-San Antonio (Texas A&M University-San Antonio) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Expanded Chancellor Research Initiative grant (CRI) awarded to Texas A&M University- San Antonio, TX, USA. (2019)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
Keywords
Internet of Things security, IoT privacy, Raspberry Pi, security certificates, security protocols, user awareness, IoT vulnerabilities

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