Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Mobile Networks and Applications
Published in: Mobile Networks and Applications 4/2022

21-02-2022

The Calculation Method of the Network Security Probability of the Multi-rail Division Based on Fuzzy Inference

Authors: Lijie Yin, Dieyi Zhang

Published in: Mobile Networks and Applications | Issue 4/2022

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The traditional method uses terminal network monitoring method to estimate the security probability of multi-track segmentation network, but the detection performance is unsatisfactory. A security probability estimation and intrusion detection algorithm for multi-track segmentation networks in network attack environment based on fuzzy reasoning is proposed. The security probability estimation model of multi-track segmentation network in network attack environment is constructed. Fuzzy reasoning and probability density feature detection method are combined to evaluate the security data of multi-track segmentation network. The infection membership characteristics of multi-track segmentation network intrusion data are extracted, and the security probability calculation and virus attack detection of multi-track segmentation network are realized. The results show that the proposed algorithm has higher accuracy in calculating the security probability of multi rail segmented network, realizes the security probability calculation and data detection of multi rail segmented network, and enhances the security defense of multi rail segmented network.
previous article Multi Source Data Association Clustering Analysis Based on Symmetric Encryption Algorithm
next article Design of Oral English Intelligent Evaluation System Based on DTW Algorithm

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Show more products
Literature
1.
Shen Y, Huang ZC, Tan Q et al (2019) Krill herd algorithm based on dynamic pressure control operator. J Comput Appl 39(3):663–667CrossRef
2.
Yu Z, Li L, Liu J et al (2015) Adaptive noise immune cluster ensemble using affinity propagation. IEEE Trans Knowl Data Eng 27(12):3176–3189CrossRef
3.
Huang D, Lai J, Wang C (2015) Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis. Neurocomputing 170:240–250CrossRef
4.
Yang Y (2008) Elements of information theory. J Am Stat Assoc 103(3):429–429CrossRef
5.
Iam-on N, Boongoen T, Garrett S et al (2011) A link-based approach to the cluster ensemble problem. IEEE Trans Pattern Anal Mach Intell 33(12):2396–2409CrossRef
6.
Zhou P, Du L, Wang H et al (2015) Learning a robust consensus matrix for clustering ensemble via Kullback-Leibler divergence minimization. In: Proceedings of the 24th International Conference on Artificial Intelligence. Palo Alto: AAAI Press  4112–4118
7.
Xu J, Miao D, Zhang Y et al (2017) A three-way decisions model with probabilistic rough sets for stream computing. Int J Approx Reason 88:1–22MathSciNetCrossRef
8.
9.
Abualigah LM, Khader AT, Al-betar MA (2017) Text feature selection with a robust weight scheme and dynamic dimension reduction to text document clustering. Expert Syst Appl 84(C):24–36CrossRef
10.
Huang D, Wang C, Lai J (2016) Locally weighted ensemble clustering. IEEE Trans Cybern 48(5):1460–1473CrossRef
11.
Manikandan LC, Selvakumar RK (2014) A new survey on block matching algorithms in video coding. Int J Eng Res 3(2):121–125CrossRef
12.
Kamali SM, Arbabi A, Arbabi E et al (2016) Decoupling optical function and geometrical form using conformal flexible dielectric metasurfaces. Nat Commun 7(5):11618CrossRef
13.
Bertlein S, Brown G, Lim KS et al (2017) Thiol-ene clickable gelatin: A platform bioink for multiple 3D biofabrication technologies. Adv Mater 29(44):1703404CrossRef
14.
Leonards H, Engelhardt S, Hoffmann A et al (2015) Advantages and drawbacks of thiol-ene based resins for 3D-printing. In Laser 3D Manufacturing II. Int Soc Opt Photon 15(25):9353–9358
15.
Zhang BZ, Gui X, He T et al (2014) A novel recommender algorithm on fusion heterogeneous information network and rating matrix. J Comput Res Dev 51(02):69–75
16.
Zhou GR (2019) Multi-track segmentation network large-scale node computing efficiency control simulation. Comput Simul 36(8):15–21
17.
Qian B, Cai ZW, Xiao Y et al (2019) Fuzzy inference based cyber security situation awareness of advanced metering system. South Power Syst Technol 15(2):51–58
18.
Zhang SK, Zhu YY (2018) A gait recognition method based on fuzzy reasoning and self-adjusting threshold. Dual Use Technol Prod 25(20):225–230
19.
Feng ZQ, Liu CG, Yang RD et al (2017) Method of line-heating process parameters forecast based on rough-fuzzy soft computation. Ship Eng 11:69–74
20.
Zhao N, Xia M et al (2020) Modeling and solution for inbound container storage assignment problem in dual cycling mode. Discrete Contin Dynam Systems-S
21.
Deng LW, Liu XJ (2019) Intelligent fire detection method based on fuzzy neural network. Fire Sci Technol 38(4):522–525
22.
Zeng JJ (2017) Research on prediction of time series of ship control system based on fuzzy reasoning. Ship Sci Technol 52(5):97–99
23.
Huang YM (2017) Research on power performance of wind turbine based on ANFIS. Electr Machinery Technol 4:18–22
24.
Khellat F, Khormizi MB (2018) A global solution for a reaction-diffusion equation on bounded domains. Appl Math Nonlinear Sci 3(1):15–22MathSciNetCrossRef
25.
Mi C, Shen Y et al (2015) Ship identification algorithm based on 3D point cloud for automated ship loaders. J Coast Res 28–34
26.
Deng AM, Xiao DL, Luo J et al (2017) Research and implementation of decision-making method for safe operation and maintenance of distribution network based on expert system. China CIO News 15(7):72–73
27.
Mi JH, Li YF, Peng WW et al (2018) Modeling and analysis of interval valued fuzzy Bayesian network for complex multi-state system. Chin Sci Phys Mech Astron 15(1):50–62
28.
Zhang Y, Yang SY, Li HB et al (2017) A novel multi-target track initiation method based on convolution neural network. In 2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP). IEEE 48(12):151–155
29.
Lian GF, Yao MP, Zhang Y et al (2018) Analysis and prediction on geometric characteristics of multi-track overlapping laser cladding. Int J Adv Manuf Technol 97(9):16–19
30.
Del Rio-Correa JL, Lopez-Garcia J et al (2019) Boltzmann and the statistical multifractals. Appl Math Nonlinear Sci 4(1):197–208MathSciNetCrossRef
31.
Hassan SS, Reddy MP et al (2019) Dynamics of the modified n-degree Lorenz system. Appl Math Nonlinear Sci 4(2):315–330MathSciNetCrossRef
32.
Mayur S, Sawant N, Jain K (2017) Characteristics of single-track and multi-track depositions of stellite by micro-plasma transferred arc powder deposition process. J Mater Eng Perform 26(8):4029–4039CrossRef
33.
Qu S, Zhao L, Xiong Z (2020) Cross-layer congestion control of wireless sensor networks based on fuzzy sliding mode control. Neural Comput Applic
34.
Cao B, Zhao J, Lv Z et al (2020) Multiobjective evolution of fuzzy rough neural network via distributed parallelism for stock prediction. IEEE Trans Fuzzy Syst 28(5):939–952CrossRef
35.
Shi K, Tang Y, Zhong S et al (2018) Nonfragile asynchronous control for uncertain chaotic Lurie network systems with Bernoulli stochastic process. Int J Robust Nonlinear Control 28(5):1693–1714MathSciNetCrossRef
36.
Fu X, Fortino G, Pace P, Aloi G, Li W (2020) Environment-fusion multipath routing protocol for wireless sensor networks. Inf Fusion 53:4–19CrossRef
37.
Cottin G, Helo JC, Hirsch M (2018) Searches for light sterile neutrinos with multitrack displaced vertices. ResearchGate 97(5):9–23
38.
Fu X, Pace P, Aloi G, Yang L, Fortino G (2020) Topology optimization against cascading failures on wireless sensor networks using a memetic algorithm. Comput Netw (Amsterdam, Netherlands: 1999) 177:107327
39.
Shi K, Wang J, Zhong S et al (2020) Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks. Neurocomputing (Amsterdam) 387:241–254CrossRef
40.
Cao B, Dong W, Lv Z, Gu Y, Singh S, Kumar P (2020) Hybrid microgrid many-objective sizing optimization with fuzzy decision. IEEE T Fuzzy Syst 1
41.
Liu S, Chan FTS, Ran W (2016) Decision making for the selection of cloud vendor: An improved approach under group decision-making with integrated weights and objective/subjective attributes. Expert Syst Appl 55:37–47CrossRef
42.
Wang P, Chen C, Kumari S, Shojafar M, Tafazolli R, Liu Y (2020) HDMA: Hybrid D2D message authentication scheme for 5G-enabled VANETs. IEEE T Intell Transp 1–10
43.
Wu C, Wang X, Chen M, Kim MJ (2019) Differential received signal strength based RFID positioning for construction equipment tracking. Adv Eng Inform 42:100960CrossRef
44.
Hou CC, Simos TE, Famelis IT (2020) Neural network solution of pantograph type differential equations. Math Methods Appl Sci 43(6):3369–3374MathSciNetCrossRef
45.
Fang J, Liu C, Simos TE, Famelis IT (2020) Neural network solution of single-delay differential equations. Mediterr J Math 17(1):30MathSciNetCrossRef
Metadata
Title
The Calculation Method of the Network Security Probability of the Multi-rail Division Based on Fuzzy Inference
Authors
Lijie Yin
Dieyi Zhang
Publication date
21-02-2022
Publisher
Springer US
Published in
Mobile Networks and Applications / Issue 4/2022
Print ISSN: 1383-469X
Electronic ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-022-01921-x

Other articles of this Issue 4/2022

Mobile Networks and Applications 4/2022 Go to the issue

OriginalPaper

High-Speed VLSI Implementation of an Improved Parallel Delayed LMS Algorithm

OriginalPaper

Exploiting Knowledge for Better Mobility Support in the Future Internet

OriginalPaper

Multi Source Data Association Clustering Analysis Based on Symmetric Encryption Algorithm

OriginalPaper

Cascade Forward Artificial Neural Network based Behavioral Predicting Approach for the Integrated Satellite-terrestrial Networks

BriefCommunication

A General Matrix Factorization Framework for Recommender Systems in Multi-access Edge Computing Network

EditorialNotes

Editorial: Intelligent and Innovative Solutions for Future Communication Networks (AICON 2020)