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 2023
  • - Article ID 9758342
  • - Retraction

Retracted: Intelligent Assessment of Mental Health Based on IoT Data

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9875691
  • - Retraction

Retracted: Data Mining Technology for Equipment Machinery and Information Network Data Resources

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9805348
  • - Retraction

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

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9868457
  • - Retraction

Retracted: Application of Data Encryption Technology in Network Information Security Sharing

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9801542
  • - Retraction

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

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9873594
  • - Retraction

Retracted: Integrated Energy Security Defense Monitoring Software Based on Cloud Computing

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9867513
  • - Retraction

Retracted: Application of Data Mining in Network Information Dynamic Push Software

Security and Communication Networks
  • Special Issue
  • - Volume 2022
  • - Article ID 4246750
  • - Research Article

[Retracted] Application of Face Recognition in E-commerce Security Authentication in the Era of Big Data

Shu Chang | Youtao Duan
  • Special Issue
  • - Volume 2022
  • - Article ID 8152073
  • - Research Article

[Retracted] Security Warning Model of Chinese Corporate Bond Defaults Based on Deep Neural Networks

Lan Bo | Weiwei Zhang | ... | Mingkai Ji
  • Special Issue
  • - Volume 2022
  • - Article ID 6888441
  • - Research Article

[Retracted] An Automated Data Desensitisation System Based on the Middle Platform

Lei Xu | Haocheng Zhou
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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