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Security and Privacy in Networked Smart Objects
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Security and Privacy in Networked Smart Objects

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (20 May 2023) | Viewed by 6850

Special Issue Editors

Dr. Lorenzo Musarella

E-Mail Website
Guest Editor
Department of Information Engineering, Infrastructure and Sustainable Energy, University Mediterranea of Reggio Calabria (UNIRC), 89214 Reggio Calabria, Italy
Interests: network analysis; trust; blockchain; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Dr. Roberto Nardone

E-Mail Website
Guest Editor
Engineering Department, University of Naples Parthenope, 80133 Naples, Italy
Interests: complex and critical systems; dependability evaluation; security by design; formal methods
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The number of existing smart objects in the world has now exceeded the number of living beings. Furthermore, due to last year’s of pandemic, the diffusion of networked smart objects is constantly increasing. Smart objects allow for the automation and speeding up of many daily operations, often involving sensitive and personal data, and the collection and exchanging of such data as well. This is leading the migration of the classic perspective of cities to a new and smarter paradigm, known as the Smart City, providing new and better services to citizens. At the same time, this enlarged domain opens novel and crucial privacy and security issues (among others). These challenges need to be addressed to protect users against security and privacy compromises.

This Special Issue is addressed to all types of approaches, methodologies and tools for the management of security and privacy issues in networked smart objects, such as the management of personal and sensitive data in communications, enforcement and guarantee of basic security properties, help and improvement in user awareness of the operations carried out by smart objects. We also encourage exploratory studies reporting on possible design guidelines or future scenarios.

Dr. Lorenzo Musarella
Dr. Roberto Nardone
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • smart sensors
  • smart objects
  • smart cities
  • security and privacy
  • device data sharing
  • secure communications
  • Internet of Things
  • Human–Computer Interaction

Published Papers (2 papers)

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Research

24 pages, 3283 KiB  
Article
Octopus: A Novel Approach for Health Data Masking and Retrieving Using Physical Unclonable Functions and Machine Learning
by Sagar Satra, Pintu Kumar Sadhu, Venkata P. Yanambaka and Ahmed Abdelgawad
Sensors 2023, 23(8), 4082; https://0-doi-org.brum.beds.ac.uk/10.3390/s23084082 - 18 Apr 2023
Cited by 2 | Viewed by 1450
Abstract
Health equipment are used to keep track of significant health indicators, automate health interventions, and analyze health indicators. People have begun using mobile applications to track health characteristics and medical demands because devices are now linked to high-speed internet and mobile phones. Such [...] Read more.
Health equipment are used to keep track of significant health indicators, automate health interventions, and analyze health indicators. People have begun using mobile applications to track health characteristics and medical demands because devices are now linked to high-speed internet and mobile phones. Such a combination of smart devices, the internet, and mobile applications expands the usage of remote health monitoring through the Internet of Medical Things (IoMT). The accessibility and unpredictable aspects of IoMT create massive security and confidentiality threats in IoMT systems. In this paper, Octopus and Physically Unclonable Functions (PUFs) are used to provide privacy to the healthcare device by masking the data, and machine learning (ML) techniques are used to retrieve the health data back and reduce security breaches on networks. This technique has exhibited 99.45% accuracy, which proves that this technique could be used to secure health data with masking. Full article
(This article belongs to the Special Issue Security and Privacy in Networked Smart Objects)
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24 pages, 1983 KiB  
Article
Getting Smarter about Smart Cities: Improving Data Security and Privacy through Compliance
by Mudassar Aslam, Muhammad Abbas Khan Abbasi, Tauqeer Khalid, Rafi us Shan, Subhan Ullah, Tahir Ahmad, Saqib Saeed, Dina A. Alabbad and Rizwan Ahmad
Sensors 2022, 22(23), 9338; https://0-doi-org.brum.beds.ac.uk/10.3390/s22239338 - 30 Nov 2022
Cited by 2 | Viewed by 4543
Abstract
Smart cities assure the masses a higher quality of life through digital interconnectivity, leading to increased efficiency and accessibility in cities. In addition, a huge amount of data is being exchanged through smart devices, networks, cloud infrastructure, big data analysis and Internet of [...] Read more.
Smart cities assure the masses a higher quality of life through digital interconnectivity, leading to increased efficiency and accessibility in cities. In addition, a huge amount of data is being exchanged through smart devices, networks, cloud infrastructure, big data analysis and Internet of Things (IoT) applications in the various private and public sectors, such as critical infrastructures, financial sectors, healthcare, and Small and Medium Enterprises (SMEs). However, these sectors require maintaining certain security mechanisms to ensure the confidentiality and integrity of personal and critical information. However, unfortunately, organizations fail to maintain their security posture in terms of security mechanisms and controls, which leads to data breach incidents either intentionally or inadvertently due to the vulnerabilities in their information management systems that either malicious insiders or attackers exploit. In this paper, we highlight the importance of data breaches and issues related to information leakage incidents. In particular, the impact of data breaching incidents and the reasons contributing to such incidents affect the citizens’ well-being. In addition, this paper also discusses various preventive measures such as security mechanisms, laws, standards, procedures, and best practices, including follow-up mitigation strategies. Full article
(This article belongs to the Special Issue Security and Privacy in Networked Smart Objects)
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