Network attack prediction method based on threat intelligence for IoT

Hongbin Zhang, Yuzi Yi, Junshe Wang, Ning Cao, Qiang Duan

Research output: Contribution to journalArticle

Abstract

The Social Internet of Things (SIoT) is a combination of the Internet of Things (IoT) and social networks, which enables better service discovery and improves the user experience. The threat posed by the malicious behavior of social network accounts also affects the SIoT, this paper studies the analysis and prediction of malicious behavior for SIoT accounts, proposed a method for predicting malicious behavior of SIoT accounts based on threat intelligence. The method uses support vector machine (SVM) to obtain threat intelligence related to malicious behavior of target accounts, analyze contextual data in threat intelligence to predict the behavior of malicious accounts. By collecting and analyzing the data in a SIoT environment, verifies the malicious behavior prediction method of SIoT account proposed in this paper.

Original languageEnglish (US)
JournalMultimedia Tools and Applications
DOIs
StateAccepted/In press - Jan 1 2018

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Internet of things
Support vector machines

All Science Journal Classification (ASJC) codes

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

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title = "Network attack prediction method based on threat intelligence for IoT",
abstract = "The Social Internet of Things (SIoT) is a combination of the Internet of Things (IoT) and social networks, which enables better service discovery and improves the user experience. The threat posed by the malicious behavior of social network accounts also affects the SIoT, this paper studies the analysis and prediction of malicious behavior for SIoT accounts, proposed a method for predicting malicious behavior of SIoT accounts based on threat intelligence. The method uses support vector machine (SVM) to obtain threat intelligence related to malicious behavior of target accounts, analyze contextual data in threat intelligence to predict the behavior of malicious accounts. By collecting and analyzing the data in a SIoT environment, verifies the malicious behavior prediction method of SIoT account proposed in this paper.",
author = "Hongbin Zhang and Yuzi Yi and Junshe Wang and Ning Cao and Qiang Duan",
year = "2018",
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Network attack prediction method based on threat intelligence for IoT. / Zhang, Hongbin; Yi, Yuzi; Wang, Junshe; Cao, Ning; Duan, Qiang.

In: Multimedia Tools and Applications, 01.01.2018.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Network attack prediction method based on threat intelligence for IoT

AU - Zhang, Hongbin

AU - Yi, Yuzi

AU - Wang, Junshe

AU - Cao, Ning

AU - Duan, Qiang

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AB - The Social Internet of Things (SIoT) is a combination of the Internet of Things (IoT) and social networks, which enables better service discovery and improves the user experience. The threat posed by the malicious behavior of social network accounts also affects the SIoT, this paper studies the analysis and prediction of malicious behavior for SIoT accounts, proposed a method for predicting malicious behavior of SIoT accounts based on threat intelligence. The method uses support vector machine (SVM) to obtain threat intelligence related to malicious behavior of target accounts, analyze contextual data in threat intelligence to predict the behavior of malicious accounts. By collecting and analyzing the data in a SIoT environment, verifies the malicious behavior prediction method of SIoT account proposed in this paper.

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