Abstract
As the demand for intelligent services in the Internet of Things continues to increase, the amount of intelligent sensing information is also increasing, and the security of these information has gradually attracted attention. Owing to the openness and the dynamics of intelligent sensor devices, there are a lot of security issues which needed to be resolved for the corresponding intelligent sensing information. In order to protect the transmission security of intelligent sensing information, this paper proposes a security transmission and early warning mechanism for intelligent sensing information in the Internet of Things. In the security transmission and early waring mechanism, we first propose an encryption/decryption algorithm for intelligent sensing information. Then, we build a security transmission algorithm. On that basis, we propose an early warning algorithm of intelligent sensing information. At the end of this paper, we analyze the security of this mechanism and the results of the experiment in order to illustrate its effectiveness. The results show that our proposed security transmission and early warning mechanism are very effective in the Internet of Things.
Highlights
IntroductionWith the development of the technology, the applications of Internet of Things (IoT) are becoming more and more extensive and there are more and more types of intelligent sensor devices
The technology of the Internet of Things (IoT) has developed rapidly
In order to improve the durability of the optical fiber sensor, Wang et al [2] explore the interfacial debonding failure mechanism of embedded sensors based on the strain transfer analysis and provide theoretical basis for enhancing the interfacial bonding properties
Summary
With the development of the technology, the applications of IoT are becoming more and more extensive and there are more and more types of intelligent sensor devices. In this situation, people show great enthusiasm for the research of various sensors especially in the field of optical fiber sensors. Wang et al [1] presented some specific optimization design methods and priority design parameters of the classified sensors. In these methods, the relationship between the strain transfer coefficient and allowable testing error is established based on the strain transfer theory.
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