دانلود رایگان مقاله کنترل دسترسی کاربردی برای شبکه های حسگر در اینترنت اشیای متنی

ABSTRACT

Wireless sensor network (WSN) plays an important role in military sensing and tracking, target tracking, and environment monitoring. To query of the network to get useful information from anywhere and anytime, we need to integrate the WSN into the Internet as part of the Internet of Things (IoT). In this case, it is an important task to design an access control scheme that can authorize, authenticate and revoke a user to access the WSN. In this paper, we propose a heterogeneous signcryption scheme to control the access behavior of the users. We give the formal security proof of our scheme in the random oracle model. An important characteristic of our scheme is to allow a user in a certificateless cryptography (CLC) environment to send a message to a sensor node in an identity-based cryptography (IBC) environment. We give an access control scheme for the WSN in the context of the IoT using the proposed signcryption scheme. As compared with existing two access control schemes using signcryption, the computational cost of sensors in our scheme is reduced by about 22% and 53%, respectively and the energy consumption of sensors in our scheme is reduced by about 33% and 54%, respectively.

5. Conclusions

In this paper, we proposed an efficient heterogeneous signcryption scheme that allows a sender in the CLC environment to transmit a message to a receiver in the IBC environment. We proved that the proposed scheme has the IND-CCA2 under the GBDH problem and EUF-CMA under the GDH and CDH problems in the random oracle model. In addition, we gave a practical access control scheme without certificates for the WSNs in the context of the IoT using the novel heterogeneous signcryption. As compared with existing YHZXZ and MXH using traditional signcryption, the computational cost of the sensor node in our scheme is reduced by about 22% and 53%, respectively and the energy consumption of the sensor node in our scheme is reduced by about 33% and 54%, respectively