Security and Communication Networks

Machine Learning for Security and Communication Networks


Publishing date
01 Nov 2021
Status
Closed
Submission deadline
18 Jun 2021

Lead Editor

1Chaoyang University of Technology, Taichung, Taiwan

2Fuzhou University, Fuzhou, China

3National University of Singapore, Singapore

4University of Technology Sydney, Sydney, Australia

This issue is now closed for submissions.

Machine Learning for Security and Communication Networks

This issue is now closed for submissions.

Description

In recent years, supervised machine learning methods (e.g. k nearest neighbours, Bayes' theorem, decision tree, support vector machine, random forest, neural network, convolutional neural network, recurrent neural network, long short-term memory network, gated recurrent unit network), unsupervised machine learning methods (e.g. association rules, k-means, density-based spatial clustering of applications with noise, hierarchical clustering, deep belief networks, deep Boltzmann machine, auto-encoder, de-noising auto-encoder, etc.), reinforcement learning methods (e.g. generative adversarial network, deep Q network, trust region policy optimization, etc.), and federated learning methods have been applied to security and communication networks. For instance, machine learning methods have been used to analyze the behaviours of the data stream in networks and extract the patterns of malicious activities (packet dropping, worm propagation, jammer attacks, etc.) for generating rules in intrusion detection systems. Furthermore, time-series methods (e.g. local outlier factor, cumulative sum, adaptive online thresholding, etc.) have been proposed to retrieve the time-series features of anomalous behaviours for preventing cyber-attacks and malfunctions.

While the area of machine learning methods for security and communication networks is a rapidly expanding field of scientific research, several open research questions still need to be discussed and studied. For instance, using and improving machine learning methods for malicious activity detection, attack detection, mobile endpoint analyses, repetitive security task automation, zero-day vulnerability prevention, and other security applications are important issues in computing and communications.

This Special Issue will solicit papers across various disciplines of security and communication networks in computing and communications. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • New supervised machine learning methods for security and communication networks
  • New unsupervised machine learning methods for security and communication networks
  • New reinforcement learning methods for security and communication networks
  • New federated learning methods for security and communication networks
  • New optimization methods for security and communication networks

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 9786483
  • - Retraction

Retracted: Economic Decision-Making Algorithm for Cross-Border Industrial E-Commerce Material Purchase Quantity Based on Markov Chain

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9794243
  • - Retraction

Retracted: Orthogonal Frequency Division Multiplexing Underwater Acoustic Communication System with Environmental Cognition Ability

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9764372
  • - Retraction

Retracted: Research on Sports Training Decision Support System Based on Improved Association Rules Algorithm

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9896751
  • - Retraction

Retracted: Research on Optimal Design of Short-Life Cycle Product Logistics Supply Chain Based on Multicriteria Decision Model

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9863250
  • - Retraction

Retracted: An Improved Cuckoo Search Algorithm for Multithreshold Image Segmentation

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9839236
  • - Retraction

Retracted: Remote Evaluation System of Tennis Batting Action Standard Based on Acceleration Sensor

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9830169
  • - Retraction

Retracted: High-Capacity Reversible Data Hiding in Encrypted Images Based on Prediction Error Compression and Block Selection

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9827462
  • - Retraction

Retracted: Research on Digital Economy and Human Resources Based on Fuzzy Clustering and Edge Computing

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9828305
  • - Retraction

Retracted: Research on the Management Information System of College Education and Teaching Based on Web

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9814763
  • - Retraction

Retracted: Research on Risk Assessment of Science and Technology Data in Network Finance Based on Portfolio Empowerment

Security and Communication Networks
Security and Communication Networks
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Acceptance rate10%
Submission to final decision143 days
Acceptance to publication35 days
CiteScore2.600
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