Thumbnail
Access Restriction
Open

Author Yang, Xinyu ♦ He, Xiaofei ♦ Yu, Wei ♦ Lin, Jie ♦ Li, Rui ♦ Yang, Qingyu ♦ Song, Houbing
Source World Health Organization (WHO)-Global Index Medicus
Content type Text
Publisher Multidisciplinary Digital Publishing Institute
File Format HTM / HTML
Language English
Difficulty Level Medium
Subject Domain (in DDC) Technology ♦ Medicine & health
Abstract In the smart grid, measurement devices may be compromised by adversaries, and their operations could be disrupted by attacks. A number of schemes to efficiently and accurately detect these compromised devices remotely have been proposed. Nonetheless, most of the existing schemes detecting compromised devices depend on the incremental response time in the attestation process, which are sensitive to data transmission delay and lead to high computation and network overhead. To address the issue, in this paper, we propose a low-cost remote memory attestation scheme (LRMA), which can efficiently and accurately detect compromised smart meters considering real-time network delay and achieve low computation and network overhead. In LRMA, the impact of real-time network delay on detecting compromised nodes can be eliminated via investigating the time differences reported from relay nodes. Furthermore, the attestation frequency in LRMA is dynamically adjusted with the compromised probability of each node, and then, the total number of attestations could be reduced while low computation and network overhead can be achieved. Through a combination of extensive theoretical analysis and evaluations, our data demonstrate that our proposed scheme can achieve better detection capacity and lower computation and network overhead in comparison to existing schemes.
Description Country affiliation: China
Author Affiliation: Yang X ( Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China. yxyphd@mail.xjtu.edu.cn.); He X ( Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China. hexiaofei@stu.xjtu.edu.cn.); Yu W ( Department of Computer and Information Sciences, Towson University, Towson, MD 21252, USA. wyu@towson.edu.); Lin J ( Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China. jielin@mail.xjtu.edu.cn.); Li R ( Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China. liruixjtu@stu.xjtu.edu.cn.); Yang Q ( SKLMSE Lab, School of Electronic Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China. yangqingyu@mail.xjtu.edu.cn.); Song H ( Department of Electrical and Computer Engineering, West Virginia University, Montgomery, WV 25136, USA. Houbing.Song@mail.wvu.edu.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Reading ♦ Research ♦ Self Learning
Interactivity Type Expositive
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-08-21
Publisher Place Switzerland
e-ISSN 14248220
Journal Sensors
Volume Number 15
Issue Number 8


Source: WHO-Global Index Medicus