Security monitoring of heterogeneous networks for big data based on distributed association algorithm

Hu, Wei; Li, Jing; Cheng, Jie; Guo, Han; Xie, Hui

doi:10.1016/j.comcom.2020.01.045

Cited by 4 publications

(7 citation statements)

References 19 publications

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“…Next is the FTP protocol [20]. FTP has no limitation on file size and is relatively simple to operate.…”

Section: Analysis Of Advantages and Disadvantages Of Http And Ftp Tra...mentioning

confidence: 99%

Data File Security Strategy and Implementation Based on Fuzzy Control Algorithm

Ren

2022

Security and Communication Networks

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Today there are few studies on data file security strategies, but with the increase in information technology, the more the security of data files cannot be ignored. In this paper, based on the research of data file security policy, a model of data file security interaction based on a fuzzy control algorithm is proposed, and the correct rate of the model proposed in this paper is improved by about 1.5% under the traditional FTP server-based model.

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“…Next is the FTP protocol [20]. FTP has no limitation on file size and is relatively simple to operate.…”

Section: Analysis Of Advantages and Disadvantages Of Http And Ftp Tra...mentioning

confidence: 99%

Data File Security Strategy and Implementation Based on Fuzzy Control Algorithm

Ren

2022

Security and Communication Networks

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“…In 2020, Wei Hu et al [2], developed a distributed analysis model that has a lot of possible benefits. In the alarm database, the main important feature was the vital decrease in the candidate set that be able to an immense amount help to develop the competence of alarm correlation algorithm in heterogeneous networks, thus additional minimizing the time needed for alarm correlation algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

“…WiMAX presents WIA to the subsequently level, and more than time, might attain alike rates to devices as WiFi [2]. WiMAX able to transport Internet access miles from the blanket large areas and the nearest WiFi hotspot named WANs, suburban, metropolitan, else rural using multi-megabit per Internet access and second mobile broadband [17].…”

Section: Introductionmentioning

confidence: 99%

Vertical Handover Using Mutated-Salp Swarm Optimization Algorithm Based on Radial Basis Function Neural Network in Heterogeneous Networks

Gupta¹

2020

JNACS

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The heterogeneous network for a 4th generation, not constantly supports enhanced mobility and communication amid the Wireless Access Network. Therefore, the vertical handoff is extremely required. This work sets up a vertical handover that is context-aware via WiFi and WiMax in a heterogeneous environment. For the handover points, thriving handover shows enhanced purposes. Hence, an RBFNN-based network method to appreciate the network distinctiveness is initially elaborated. In the experimented environment, the RSS of the heterogeneous network is experimental to model the training library. In a heterogeneous network, to solve the handover points the trained network predicts RSS. To make sure the exact learning of the NN regarding the RSS network characteristics, a mutated Salp Swarm Algorithm (mutated-SSA) is proposed. The developed technique performance is validated using the conventional FF-NN, LM-NN, GWO-NN, and PSO-NN via handover, throughput, Mean Absolute Error, and predicted RSS analyses. For the developed mutated-SSA-RBFNN-based network model, the predicted RSS appears almost nearer to the actual model, obtaining effectual handoff.

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“…Therefore, it is necessary to build a mathematical model to mine the potential relationship information between these data, such as location-based Social Network (LBSN), which generally contains two kinds of data [12]: One is the data of users themselves in the network, and the other is the relational data existing between users. The temporal and spatial information between users can be mined from LBSN for various application activities [6], such as friend recommendation [8], interest recommendation [2], trajectory recovery [14], behavior prediction [15] and other application scenarios. In fact, in the analysis of social networks, link prediction has always been a research focus of information recommendation system, which is to find out the information that may exist node link from the known node information in the network.…”

Section: Introductionmentioning

confidence: 99%

Link Prediction Model for Anchor Chain Connection Method

Huang¹

2023

Atlantis Highlights in Computer Sciences

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In order to improve the accuracy of the location-based social network (LBSN) multi-source heterogeneous data link prediction, a model named anchor link-predict (AL-P), based on the anchor link method is proposed. Firstly, the network representation learning method is used to obtain the user relationship topology in LBSN. The matrix decomposition method is used to obtain the user sign-in record representation space in LBSN. Then, the anchor link method is joined the user relationship topology and user check-in record, and the potential relationship between them is mined. Finally, the experimental analysis shows that the Al-P model can significantly improve the link prediction effect under different evaluation indexes compared with the existing predicting models of same type.

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Security monitoring of heterogeneous networks for big data based on distributed association algorithm

Cited by 4 publications

References 19 publications

Data File Security Strategy and Implementation Based on Fuzzy Control Algorithm

Data File Security Strategy and Implementation Based on Fuzzy Control Algorithm

Vertical Handover Using Mutated-Salp Swarm Optimization Algorithm Based on Radial Basis Function Neural Network in Heterogeneous Networks

Link Prediction Model for Anchor Chain Connection Method

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