Security and Communication Networks

Privacy Enhancing Technologies for Emerging Computing Systems


Publishing date
01 Dec 2022
Status
Published
Submission deadline
22 Jul 2022

Lead Editor

1National University of Defense Technology, Changsha, China

2University of Louisiana, Lafayette, USA

3Dublin City University, Dublin, Ireland

4Hunan University, Hunan, China


Privacy Enhancing Technologies for Emerging Computing Systems

Description

The research advances of intelligent devices and seamless networking technologies have spawned the emergence of computing systems that are embedded in every aspect of human life. It benefits from developments from evolving computing paradigms, such as edge computing, federated learning, and digital networks, to diverse computing services, such as mobile healthcare, crowdsensing, and the metaverse. The implementations of these emerging computing systems involve data collection and knowledge extraction of users’ daily lives, including smartphones (accessories) that record location, fitness, and other contextual information, and network traffic that conveys sharing behaviors, access records, and application usage patterns. Abusing and disclosing such sensitive information, either implicitly or explicitly, causes significant security concerns and privacy breaches, which go against both user interests and regulations.

To meet users’ privacy requirements in terms of various legislations, Privacy Enhancing Technologies (PETs) are widely investigated and gain expanding attention. PETs explore the joint efforts of homomorphic encryption, secure multi-party computation, differential privacy, and other techniques for building privacy-preserving algorithms, applications, systems, and services. Yet, the emerging computing scenarios exhibit a larger attack surface, prone to new forms of privacy concerns and vulnerabilities, which necessitates insights towards privacy assessment, dedicated solutions, and general design guidelines.

In this Special Issue, we welcome submissions exposing and addressing the underlying privacy issues in emerging computing systems and aim to publish papers presenting recent research results and implementation experiences from academia, industrial communities, and governments. Papers offering a perspective on related work and identifying promising directions are also encouraged. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

  • Privacy and PETs in in-network computing
  • Privacy and PETs in digital networks
  • Privacy and PETs in federal learning
  • PETs for crowdsourcing and crowdsensing
  • Privacy and PETs in the metaverse
  • Artificial intelligence for PETs in emerging computing paradigms
  • Advanced cryptography protocols and algorithms for privacy
  • Privacy-preserving big data analytics
  • Privacy risk assessment and visualization
  • Implementation and adaptive configuration of PETs

Articles

  • Special Issue
  • - Volume 2024
  • - Article ID 9792589
  • - Retraction

Retracted: Analysis of Risk Assessment of Overseas Infrastructure Projects Integrating BP-ANN Algorithm

Security and Communication Networks
  • Special Issue
  • - Volume 2024
  • - Article ID 9759083
  • - Retraction

Retracted: Path Selection Strategy of Communication Network Based on Graph Convolutional Neural Network

Security and Communication Networks
  • Special Issue
  • - Volume 2024
  • - Article ID 9891407
  • - Retraction

Retracted: Secure Two-Party Computation Based on Fast Cut-and-Choose Bilateral Oblivious Transfer

Security and Communication Networks
  • Special Issue
  • - Volume 2024
  • - Article ID 9780872
  • - Retraction

Retracted: A K-Means Clustering Algorithm for Early Warning of Financial Risks in Agricultural Industry

Security and Communication Networks
  • Special Issue
  • - Volume 2024
  • - Article ID 9829563
  • - Retraction

Retracted: Prediction and Analysis of the Physical Test Scores Based on BP Neural Network and Principal Component Analysis Algorithm

Security and Communication Networks
  • Special Issue
  • - Volume 2024
  • - Article ID 9852914
  • - Retraction

Retracted: Prediction of High-Frequency Economic Data Based on Stochastic Fluctuation Model

Security and Communication Networks
  • Special Issue
  • - Volume 2024
  • - Article ID 9850571
  • - Retraction

Retracted: Network Interconnection Security Buffer Technology for Power Monitoring System

Security and Communication Networks
  • Special Issue
  • - Volume 2024
  • - Article ID 9890863
  • - Retraction

Retracted: A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9892320
  • - Retraction

Retracted: Construction of University English Informatization Learning Environment Based on ESP Teaching Mode

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9854917
  • - Retraction

Retracted: Multitarget Tracking Algorithm in Intelligent Analysis of Football Movement Training Stance

Security and Communication Networks
Security and Communication Networks
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Acceptance rate11%
Submission to final decision185 days
Acceptance to publication40 days
CiteScore2.600
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