A cross-layer cooperative jamming scheme for social internet of things

In this paper, we design a friendly jammer selection scheme for the social Internet of Things (IoT). A typical IoT is composed cellular network with underlaying Device-to-Device (D2D) communications. our scheme, consider signal characteristics over physical layer and attribute information an application simultaneously. Using characteristics, one D2D gadgets selected as to improve secrecy performance device. return, gadget allowed reuse spectrum resources relationship, analyze quantify intimacy degree among nodes in adaptive communication time threshold. Applying artificial intelligence forecasting model, further forecast update degree, then screen filter potential devices effectively reduce detection calculation costs. Finally, propose optimal integrate virtual relationship actual systems. To select jammer, apply Kuhn-Munkres (KM) algorithm solve maximization problem cooperative jamming. Comprehensive numerical results are presented validate scheme.