Artificial Immunity-based Model for Information System Security Risk Evaluation

摘要：

An artificial immunity principle based model for information system security risk evaluation is proposed. Recognition of harmful antigen by immunocytes is simulated. Immature, mature and memory detectors are defined. Evolution process of the detector is derived with math method. The math model in which the detectors recognize threats is constructed. The intensity of a threat and the vulnerability in the information system are recognized. The quantitative computation equation of security risk is deduced through the threats and vulnerabilities. The theoretical analysis shows that the proposed model provides a new approach for the information system security risk evaluation in realtime and quantity.

作者: Caiming Liu Minhua Guo Lingxi Peng Jing Guo Shu Yang Jinquan Zeng

作者单位: Telecommunication Company, Southwest Oil&Gas Field Company, PetroChina, Chengdu 610051, China School of Computer Science, Guangzhou University, Guangzhou 510006, China Logistics Service Division of Living Area, Southwest Oil&Gas Field Company, PetroChina, Chengdu 6100 School of Computer Science & Engineering, University of Electronic Science and Technology of China,

会议类型: 国际会议

会议名称: 2010 International Conference on E-Health Networking,Digital Ecosystems and Techonlogies(2010电子健康网络、数字生态系统和技术国际会议 EDT 2010)

会议地点: 深圳

会议语种:英文

页码: 39-42

在线出版日期: 2010-04-17（万方平台首次上网日期，不代表论文的发表时间）