Security and Communication Networks

Multiparty Computations, Co-operations, and Communications for Privacy and Network Security


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

Lead Editor

1University of Glasgow, Glasgow, UK

2HKBK College of Engineering, Bengaluru, India

3University of Teramo, Teramo, Italy


Multiparty Computations, Co-operations, and Communications for Privacy and Network Security

Description

Multiparty computation is a form of trustworthy computation approach in which two or more parties jointly evaluate a function and obtain its outcome without accessing the private inputs of the other parties. Cryptography is the classic enabler of Secure Multiparty Computing (SMC), but most real-time and online computations are incompatible with cryptographic activities. Trusted Execution Environments (TEEs) are promising alternatives for making SMC more tractable on any network, since they require hardware enforcement, isolation of code, and data. The emergence of a variety of trusted execution environments in recent years has created an opportunity to offload some security and privacy costs associated with widespread multiparty computation.

Several adversaries are trying to violate the safety and privacy of SMC, and they can be categorized as semihonest, malicious, or covert. Recently, data analytics has co-operated with multiparty communications in various fields such as agriculture, bioinformatics, environmental science, data analytics, and so on. Wherever network communication happens, it is necessary to ensure the co-operation of security and privacy. Artificial Intelligence (AI) can be used to identify spam, viruses, data theft, and improved security are possible in pervasive communication networks. Data breaching, data integrity, and data collusion are all key targets for cybersecurity and privacy attacks on IoT devices and their data. Privacy considerations arise naturally when data is transported to and from the cloud. Indeed, privacy solutions must meet ethical and legal criteria while not impeding viable business models, whereas privacy-preserving solutions are unlikely to become feasible and effective without new rules. Furthermore, if the data is leaked and not properly encrypted, it compromises the user's privacy for nonauthorized virtual profiling.

This Special Issue is to collate original research and review articles describing advances in security awareness and privacy preferences for multiparty communications and computation, as well as legal and economic challenges, solutions in various IoT application domains, and so on.

Potential topics include but are not limited to the following:

  • Security and privacy modeling in the cloud-based system
  • Security/privacy/trust issues in network architectures
  • Attack prediction, prevention, and co-operation using machine learning algorithms
  • Multiparty trust model for the IoT
  • Multitenancy related security/privacy issues
  • Vulnerabilities in network infrastructure
  • Co-operative communication techniques for the IoT
  • Anonymization techniques in cybersecurity
  • Federated learning in digital healthcare using IoT
  • Secure architecture for smart cities using IoT
  • Lightweight cryptography protocols
  • Security testing, ethical hacking, and security certifications
  • Privacy-preserving pervasive computing techniques
  • Intelligent and secure transportation systems
  • Cyber threat intelligence model for the cloud-based system

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 5928611
  • - Research Article

[Retracted] Data Mining Technology for Equipment Machinery and Information Network Data Resources

Wubing Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 7472205
  • - Research Article

[Retracted] Application of Data Encryption Technology in Computer Network Information Security

Lifeng Li
  • Special Issue
  • - Volume 2022
  • - Article ID 4505814
  • - Research Article

[Retracted] Application of Software Data Analysis Model Based on K-Means Clustering Algorithm

Wenhai Qiu
  • Special Issue
  • - Volume 2022
  • - Article ID 9656986
  • - Research Article

[Retracted] Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion

Yuechun Wang | Suzhen Zhang | Shaofang Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 2288452
  • - Research Article

[Retracted] Logistics Information Intelligent Platform Based on Dynamic Network Data

Wei Kang
  • Special Issue
  • - Volume 2022
  • - Article ID 2455102
  • - Research Article

[Retracted] Research on Smartphone Trojan Detection Based on the Wireless Sensor Network

Gang Li
  • Special Issue
  • - Volume 2022
  • - Article ID 8720447
  • - Research Article

[Retracted] Corner Detection of Ceramic Crack Computer VR Image Based on Three-Dimensional Reconstruction Algorithm

Yuyang He
  • Special Issue
  • - Volume 2022
  • - Article ID 5239219
  • - Research Article

[Retracted] Connection Quality Prediction and Nonlinear Control of Power Grid Communication Wireless Network

Ziyuan Zhao
  • Special Issue
  • - Volume 2022
  • - Article ID 2550820
  • - Research Article

[Retracted] Library Personalized Service System Based on Computer Network Technology

Zhixiang Song | Lingwei Dang
  • Special Issue
  • - Volume 2022
  • - Article ID 7794209
  • - Research Article

[Retracted] Application of Hybrid Encryption Algorithm in Hardware Encryption Interface Card

Huiwei Yang
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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