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  • 标题:H2O: Secure Interactions in IoT via Behavioral Fingerprinting
  • 本地全文:下载
  • 作者:Marco Ferretti ; Serena Nicolazzo ; Antonino Nocera
  • 期刊名称:Future Internet
  • 电子版ISSN:1999-5903
  • 出版年度:2021
  • 卷号:13
  • 期号:5
  • 页码:117
  • DOI:10.3390/fi13050117
  • 出版社:MDPI Publishing
  • 摘要:Sharing data and services in the Internet of Things (IoT) can give rise to significant security concerns with information being sensitive and vulnerable to attacks. In such an environment, objects can be either public resources or owned by humans. For this reason, the need of monitoring the reliability of all involved actors, both persons and smart objects, assuring that they really are who they claim to be, is becoming an essential property of the IoT, with the increase in the pervasive adoption of such a paradigm. In this paper, we tackle this problem by proposing a new framework, called H2O (Human to Object). Our solution is able to continuously authenticate an entity in the network, providing a reliability assessment mechanism based on behavioral fingerprinting. A detailed security analysis evaluates the robustness of the proposed protocol; furthermore, a performance analysis shows the feasibility of our approach.
  • 关键词:IoT; Human to Object Network; behavioral fingerprint; reliability IoT ; Human to Object Network ; behavioral fingerprint ; reliability
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