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 2022
  • - Article ID 6579066
  • - Research Article

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

Changrui Li | Qiuping Peng
  • Special Issue
  • - Volume 2022
  • - Article ID 7366480
  • - Research Article

[Retracted] Application of User Experience Gene Extraction Model Based on Industrial Design

Ziwei Yu
  • Special Issue
  • - Volume 2022
  • - Article ID 9548441
  • - Research Article

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

Xiaojun Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 1109813
  • - Research Article

[Retracted] Enterprise Financial Risk Analysis Based on Improved Model C-Means Clustering Algorithm

Jia Sun | Yanrong Jiao
  • Special Issue
  • - Volume 2022
  • - Article ID 5462618
  • - Research Article

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

Ling Feng
  • Special Issue
  • - Volume 2022
  • - Article ID 5776831
  • - Research Article

[Retracted] Statistical Analysis of Employment Education in Colleges and Universities Based on Improved Clustering Algorithm

Bin Liu
  • Special Issue
  • - Volume 2022
  • - Article ID 5916061
  • - Research Article

[Retracted] Decision Model of Wireless Communication Scheme Evaluation via Interval Number

Man Li | Yuhong Ouyang | ... | Ruixian Ye
  • Special Issue
  • - Volume 2022
  • - Article ID 3880413
  • - Research Article

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

Yongjun Wang | Kun Xiong | ... | Xixi Yan
  • Special Issue
  • - Volume 2022
  • - Article ID 9310697
  • - Research Article

[Retracted] Measurement of Economic Fluctuations Based on High-Frequency Financial Time Series

HuiLi Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 6501238
  • - Research Article

[Retracted] Optimization of Substation Alarm Information Processing Based on BP Neural Network

Tuanjun Han
Security and Communication Networks
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Acceptance rate11%
Submission to final decision185 days
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