Abstract
Due to the emergence of various new technologies, Internet of things (IoT) is gradually becoming one of the most valued technologies at present. The IoT makes our life more and more convenient through the interconnection of everything, but the IoT brings many advantages and also raises some security issues, such as the IoT perception layer as the main means of sensing data delivery, due to the limited resources of sensing nodes and their vulnerability, the diversity of sensing data, and the heterogeneity of the sensing network, making the IoT perception layer more vulnerable to various malicious attacks. Therefore, guaranteeing the trustworthy source of sensing data is the cornerstone to guarantee the secure operation of the sensing layer. In this paper, we investigate the remote proof scheme applicable to the IoT perception layer and propose a remote attestation mechanism using a threshold ring signature for a perception layer of distributed networking, which realizes the trusted proof of a data source and thus can effectively discern the trusted status of the data source, and prove that the proposed scheme in this paper outperforms other remote proof schemes through efficiency analysis and verify the correctness as well as the effectiveness of the scheme in this paper.
Highlights
The Internet is the “bridge” between the real world and the information world [1]; in the age of interconnection, there are tens of thousands of equipment for information interaction moment-by-moment [2]
The nodes in the perception network can be divided into ordinary perception nodes, data aggregation nodes, and management nodes according to their different functions [3]
The security issues facing the perception layer of the Internet of things include the following: node malicious control, illegal information capture, network DoS attacks, and counterfeiting attacks; e.g., in October 2016, a massive network outage occurred on the East Coast of the U.S, which was caused by a distributed denial-ofservice attacks (DDoS) attack launched by a camera acting as a broiler [4], so it is an urgent issue to ensure the reliability of the perception nodes [5]
Summary
The Internet is the “bridge” between the real world and the information world [1]; in the age of interconnection, there are tens of thousands of equipment for information interaction moment-by-moment [2]. The security issues facing the perception layer of the Internet of things include the following: node malicious control, illegal information capture, network DoS attacks, and counterfeiting attacks; e.g., in October 2016, a massive network outage occurred on the East Coast of the U.S, which was caused by a DDoS attack launched by a camera acting as a broiler [4], so it is an urgent issue to ensure the reliability of the perception nodes [5]. In the direction of proving the state of the perception node platform, the Trusted Computing Group (TCG) proposed a binary remote proof scheme by combining the characteristics of integrity metrics and trusted computing trust chains [7]. The TCG-based remote proof mechanism suffers from the inability to perform dynamic proofs and the inability to resist the use of the AIK as the digital signature of the metric and to resist replay attacks
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