![]() |
个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:计算机应用技术
联系方式:yaolin@dlut.edu.cn
电子邮箱:yaolin@dlut.edu.cn
ITFBS: adaptive intrusion-tolerant scheme for body sensor networks in smart space applications
点击次数:
论文类型:期刊论文
发表时间:2011-11-25
发表刊物:IET COMMUNICATIONS
收录刊物:EI、Scopus、SCIE
卷号:5
期号:17
页面范围:2509-2517
ISSN号:1751-8628
摘要:As an important part of the smart space, body sensor networks (BSNs) provide continuous health monitoring and automation assistance for smart environment residents. A high degree of security and reliability for BSN is extremely required. An adaptive and flexible intrusion-tolerant scheme for BSN, namely ITFBS, is proposed. ITFBS dynamically detects intrusions according to the collected intrusion-related information, and it can provide an adaptive intrusion-tolerant strategy with passive replication by utilising two-step threshold-based intrusion detection and replicas classification. The correctness and effectiveness of ITFBS is theoretically proved, and the experimental results show that ITFBS can effectively tolerate intrusions with low power consumption and high adaptability.