4.6 Article

Towards a Low-Cost Remote Memory Attestation for the Smart Grid

期刊

SENSORS
卷 15, 期 8, 页码 20799-20824

出版社

MDPI
DOI: 10.3390/s150820799

关键词

smart measurement devices; code injection attack; software-based attestation; smart grid

资金

  1. National Science Foundation of China (NSFC) [61373115, 61402356]
  2. Fundamental Research Funds for the Project - China Post doctoral Science Foundation [2015M572565]
  3. Fundamental Research Funds for the Central Universities [xkjc2015010]
  4. U.S. National Science Foundation (NSF) [CNS 1117175, 1350145]
  5. Direct For Computer & Info Scie & Enginr
  6. Division Of Computer and Network Systems [1350145] Funding Source: National Science Foundation

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据