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.
More articles will be published in the near future.

Machine Learning for Security and Communication Networks

This issue is now closed for submissions.
More articles will be published in the near future.

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 2022
  • - Article ID 9757909
  • - Retraction

Retracted: Intelligent Recognition Method of Vehicle Path with Time Window Based on Genetic Algorithm

Security and Communication Networks
  • Special Issue
  • - Volume 2022
  • - Article ID 9769585
  • - Retraction

Retracted: Research on Educational Information Platform Based on Cloud Computing

Security and Communication Networks
  • Special Issue
  • - Volume 2022
  • - Article ID 1676697
  • - Research Article

Foreign Muslim Workers’ Perspectives of the Basic Needs of Muslim-Friendly Tourist Services: An Empirical Analysis of a Non-Muslim Destination

Huang-Ping Yen | Jing-Wen Chang | ... | Hao-Kai Hung
  • Special Issue
  • - Volume 2022
  • - Article ID 3502041
  • - Research Article

Multilevel Image Edge Detection Algorithm Based on Visual Perception

Hui Li
  • Special Issue
  • - Volume 2021
  • - Article ID 5558914
  • - Research Article

An Intelligent Wireless Charger Based on the Internet of Things

Xiaoqiang Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 3140341
  • - Research Article

Application of Collaborative Filtering and Data Mining Technology in Personalized National Music Recommendation and Teaching

Meilin Lu | Fangfang Deng
  • Special Issue
  • - Volume 2021
  • - Article ID 9977221
  • - Research Article

Brand Digital Marketing under Intranet Security Control Based on the Machine Learning Classification Algorithm

Yishu Liu | Xiaoyan Huang
  • Special Issue
  • - Volume 2021
  • - Article ID 5801631
  • - Research Article

An Algorithm of Scene Information Collection in General Football Matches Based on Web Documents

Bin Li | Ting Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 7389943
  • - Research Article

Unsupervised Anomaly Detection Based on Deep Autoencoding and Clustering

Chuanlei Zhang | Jiangtao Liu | ... | Dufeng Chen
  • Special Issue
  • - Volume 2021
  • - Article ID 7617819
  • - Research Article

Distributed Consensus Algorithm for Nonholonomic Wheeled Mobile Robot

Xianyang Meng | Ping He | ... | Zhigang Wu
Security and Communication Networks
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Acceptance rate51%
Submission to final decision52 days
Acceptance to publication27 days
CiteScore3.300
Journal Citation Indicator0.430
Impact Factor1.968
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.