Research on security assessment based on big data and multi-entity profile

Security assessment is one of the important problems, especially in the fields of military training, transportation and network management. The security "related parties" (entities in this paper) have internal relations in the three fields. It is of great significance of constructing the a...

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Bibliographic Details
Main Authors: Liu, Wenfu, Pang, Jianmin, Yang, Shudan, Li, Nan, Du, Qiming, Sun, Daozhu, Liu, Fudong
Format: Conference Proceeding
Language:English
Subjects:
Big Data
Data mining
entity portrait
Evaluation process
Personnel
Risk management
Security
security assessment
Spark
Training
Transportation
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Summary:Security assessment is one of the important problems, especially in the fields of military training, transportation and network management. The security "related parties" (entities in this paper) have internal relations in the three fields. It is of great significance of constructing the attributes of these entities or even designing a unified security assessment method. Security assessment in these areas has been studied and explored for a long time. However, the research is relatively scattered and unilateral. It is no unified and reusable method from data collection to security assessment. Based on the advantages of big data technology in the storage and analysis of massive data, the paper proposed a security risk element acquisition method from data collection and preprocessing, storage and mining to attribute extraction and aggregation. In addition, drawing on the idea of user portraits in other fields, constructed personnel entities, equipment entities and "other" entity labels related to security risks. Finally, a security risk assessment process based on these entities is designed.
ISSN:2689-6621
DOI:10.1109/IAEAC50856.2021.9391153