Network social media information leakage detection based on link state awareness
by Qi Ding; Guangming Dai
International Journal of Web Based Communities (IJWBC), Vol. 18, No. 3/4, 2022

Abstract: Aiming at the problems of low detection accuracy and long detection time in traditional information leakage detection methods, this paper proposes a network social media information leakage detection method based on link state perception. Divide the data stream segments, extract the data features of the divided data stream segments, regard the extracted data features of network social media information as the nodes in the social network link, and obtain the node status information by calculating the loss rate and occupancy rate. The distributed heuristic reasoning method is used to perceive the node state information. Then, the link state is calculated according to the perception results. Finally, the network social media information leakage detection model is constructed. According to the simulation results, compared with the traditional method, the proposed method has higher accuracy and shorter detection time.

Online publication date: Mon, 12-Sep-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Web Based Communities (IJWBC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com