基于免疫学多层防护的业务冲突检测方法

魏薇; 杨放春

doi:10.3724/SP.J.1146.2006.00329

基于免疫学多层防护的业务冲突检测方法

doi: 10.3724/SP.J.1146.2006.00329

魏薇,
杨放春

基金项目:

国家973计划课题(2003CB314806)和长江学者和创新团队发展计划基金资助课题

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出版历程
- 收稿日期: 2006-03-21
- 修回日期: 2006-06-12
- 刊出日期: 2007-10-19

An Immunology-Based Multi-protected Method for Detecting The Feature Interaction

摘要

摘要: 借鉴免疫系统的多层次防御机制和抗原识别，免疫学习，协同刺激，克隆选择以及阴性选择等免疫原理，该文提出了一种基于免疫学多层防护的业务冲突检测方法，不仅能够检测出已知的业务冲突，而且能够逐渐识别未知业务冲突。实验和研究结果表明该方法能够有效检测各种增值业务间的冲突，具有较高的检测率和检测效率，良好的扩展性和适应性。
- 下一代网络;业务冲突;检测方法;免疫学;多层防护
Abstract: According to the multi-protected mechanism of the immune system and the immune principles, such as the antigen recognition, immune study, co-stimulation, clone selection and negative selection, an immunology-based multi-protected detection method of the feature interaction is proposed to detect the known and unknown feature interactions gradually. The simulation and research show that this method can detect all kinds of service interaction with high detection ratio and efficiency, expansibility, adaptability.

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参考文献(1)

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