Special Issue "Privacy-Preserving Techniques in Cloud/Fog and Internet of Things"

A special issue of Cryptography (ISSN 2410-387X).

Deadline for manuscript submissions: 1 August 2022 | Viewed by 3042

Special Issue Editors

Prof. Dr. Cheng-Chi Lee
E-Mail Website
Guest Editor
Department of Library and Information Science, Fu Jen Catholic University, New Taipei City 24205, Taiwan
Interests: data security; cryptography; network security; mobile communications and computing; wireless communications
Special Issues, Collections and Topics in MDPI journals
Dr. Mehdi Gheisari
E-Mail Website
Guest Editor
Department of Computer Science, Islamic Azad University, Tehran, Iran
Interests: privacy-preserving on the Internet of Things (IoT); wireless sensor networks; security; smart city
Dr. Mohammad Javad Shayegan
E-Mail Website
Guest Editor
Computer Engineering Department, University of Science and Culture, Tehran, Iran
Interests: cryptography; BlockChain; Web; data science; distributed systems
Dr. Milad Taleby Ahvanooey
E-Mail Website
Guest Editor
Faculty Member at IMShool, Nanjing University, Nanjing, China
Interests: applied cryptography; information hiding; text mining & retrieval; malware analysis; misinformation detection; authentication systems of smartphones; IoT security
Dr. Yang Liu
E-Mail Website
Guest Editor
Department of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China
Interests: security and privacy problems; the privacy issues related to mobile and IoT devices

Special Issue Information

Dear Colleagues,

Recently, wireless networks have been developed using cloud infrastructure and software-based networks. Their connections to the new generation Internet and the Internet of Things have reduced costs and improved reliability. It is critical for people, factories, vehicles, road and transportation environments, and much more to use IoT sensors and devices for daily tasks in these vast and complex networks. It is also important to leverage privacy-preservation patterns in large networks such as BigData, software-based networks. Several supporting technologies for IoT are Cloud Computing and Fog Computing. However, the possibility of privacy breaches in these three technologies is high. The main purpose of this leading series is to present and compile articles about this topic that can help us.

Submission Guideline:

This Special Issue is looking for original articles that are not under consideration for publication elsewhere. The "Submit Online" button on the journal's submission page allows authors to follow the journal's formatting and submission instructions. Please mention that your article is for this Special Issue in your cover letter.

The following topics are possible, but not limited to:

  • Privacy-preserving models for big data networks
  • Privacy-preserving models for sensor networks and the Internet of Things
  • Privacy-preserving mathematical models for IoT networks and Cloud Computing
  • Privacy-preservation in Fog Computing
  • Machine learning methods for privacy-preservation

Prof. Dr. Cheng-Chi Lee
Dr. Mehdi Gheisari
Dr. Mohammad Javad Shayegan
Dr. Milad Taleby Ahvanooey
Dr. Yang Liu
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. Cryptography is an international peer-reviewed open access quarterly 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 1400 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

  • privacy-preservation
  • security
  • fog
  • cloud
  • Internet of Things

Published Papers (2 papers)

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Research

Article
Privacy Issues in Stylometric Methods
Cryptography 2022, 6(2), 17; https://doi.org/10.3390/cryptography6020017 - 07 Apr 2022
Viewed by 636
Abstract
Stylometry is a well-known field, aiming to identify the author of a text, based only on the way she/he writes. Despite its obvious advantages in several areas, such as in historical research or for copyright purposes, it may also yield privacy and personal [...] Read more.
Stylometry is a well-known field, aiming to identify the author of a text, based only on the way she/he writes. Despite its obvious advantages in several areas, such as in historical research or for copyright purposes, it may also yield privacy and personal data protection issues if it is used in specific contexts, without the users being aware of it. It is, therefore, of importance to assess the potential use of stylometry methods, as well as the implications of their use for online privacy protection. This paper aims to present, through relevant experiments, the possibility of the automated identification of a person using stylometry. The ultimate goal is to analyse the risks regarding privacy and personal data protection stemming from the use of stylometric techniques to evaluate the effectiveness of a specific stylometric identification system, as well as to examine whether proper anonymisation techniques can be applied so as to ensure that the identity of an author of a text (e.g., a user in an anonymous social network) remains hidden, even if stylometric methods are to be applied for possible re-identification. Full article
(This article belongs to the Special Issue Privacy-Preserving Techniques in Cloud/Fog and Internet of Things)
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Article
A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments
Cryptography 2022, 6(1), 8; https://doi.org/10.3390/cryptography6010008 - 14 Feb 2022
Viewed by 1001
Abstract
Cloud computing offers the possibility of providing suitable access within a network for a set of resources. Many users use different services for outsourcing their data within the cloud, saving and mitigating the local storage and other resources involved. One of the biggest [...] Read more.
Cloud computing offers the possibility of providing suitable access within a network for a set of resources. Many users use different services for outsourcing their data within the cloud, saving and mitigating the local storage and other resources involved. One of the biggest concerns is represented by storing sensitive data on remote servers, which can be found to be extremely challenging within different situations related to privacy. Searchable Encryption (SE) represents a particular case of Fully Homomorphic Encryption (FHE) and at the same time represents a method composed from a set of algorithms meant to offer protection for users’ sensitive data, while it preserves the searching functionality on the server-side. There are two main types of SE: Searchable Symmetric Encryption (SSE), where the ciphertexts and trapdoors for searching are performed using private key holders, and Public Key Searchable Encryption (PKSE), in which a specific number of users have the public key based on which are capable of outputting ciphertexts and giving the possibility of producing the trapdoors by using the private key from the holder. In this article, we propose a searchable encryption system that uses biometric authentication. Additionally, biometric data are used in the trapdoor generation process, such that an unauthorized user cannot submit search queries. The proposed system contains three components: classic user authentication (based on username, password, and a message with a code using short message service (SMS), biometric authentication, and the searchable encryption scheme. The first two components can be seen as two-factor authentication (2FA), and the second component represents the initialization step of the searchable encryption scheme. In the end, we show and demonstrate that the proposed scheme can be implemented with success for medium to complex network infrastructures. We have granted special attention to the trapdoor function, which generates a value that can be used to perform the search process and search function that is based on the trapdoor pair for searching within the index structure. We provide the correctness and security proof of the operations, which gives us the guarantee that the cloud servers return the correct documents. Additionally, we discuss measuring the performance of the authentication scheme in terms of performance indicators, introducing two indicators for measuring purposes—namely, cloud average number of non-legitim the user actions for cloud purposes (CANNL) and cloud average number of legitim user actionsCANLU. Full article
(This article belongs to the Special Issue Privacy-Preserving Techniques in Cloud/Fog and Internet of Things)
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