The Internet of Energy (IoE) provides an effective networking technology for distributed green energy, which allows the connection of energy anywhere at any time. As an important part of the IoE, electric vehicles (EVs), and charging pile management are of great significance to the development of the IoE industry. Previous work has mainly focused on network performance optimization for its management, and few studies have considered the security of the management between EVs and charging piles. Therefore, this paper proposes a decentralized security model based on the lightning network and smart contract in the blockchain ecosystem; this proposed model is called the lightning network and smart contract (LNSC). The overall model involves registration, scheduling, authentication, and charging phases. The new proposed security model can be easily integrated with current scheduling mechanisms to enhance the security of trading between EVs and charging piles. Experimental results according to a realistic infrastructure are presented in this paper. These experimental results demonstrate that our scheme can effectively enhance vehicle security. Different performances of LNSC-based scheduling strategies are also presented.INDEX TERMS Blockchain, smart contract, vehicle charging, mutual authentication, Internet of Energy.

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We researched the diagnostic capabilities of deep learning on chest radiographs and an image classifier based on the COVID-Net was presented to classify chest X-Ray images. In the case of a small amount of COVID-19 data, data enhancement was proposed to expanded COVID-19 data 17 times. Our model aims at transfer learning, model integration and classify chest X-Ray images according to three labels: normal, COVID-19 and viral pneumonia. According to the accuracy and loss value, choose the models ResNet-101 and ResNet-152 with good effect for fusion, and dynamically improve their weight ratio during the training process. After training, the model can achieve 96.1% of the types of chest X-Ray images accuracy on the test set. This technology has higher sensitivity than radiologists in the screening and diagnosis of lung nodules. As an auxiliary diagnostic technology, it can help radiologists improve work efficiency and diagnostic accuracy.

In the community medical Internet of Things (IoT) environment, there exist a large number of device nodes, network nodes and user nodes which form a heterogeneous network. In order to ensure smooth data exchange, some gateway nodes are adopted to connect different network spaces. Therefore, how to identify and authenticate the identities of heterogeneous nodes is an urgent problem to be solved. In this paper, we start with node security identity authentication, make uses of the mechanism of elliptic curve encryption algorithm signature and session key symmetric encryption, design an efficient community medical IoT node secure two-way identity authentication method, and propose a secure and reliable update mechanism for the update of authentication keys and session keys. These measures can effectively ensure the legality of nodes and communication security in the community medical IoT system. Through the analysis and comparison of experimental performance, this scheme is more suitable for the scene of community medical Internet of Things.

In recent years, the IoT(Internet of Things)has been widespreadly concerned as a new technology architecture integrated by many information technologies. However, IoT is a complex system .If there is no intensive study from the system point of view , it will be very hard to understand the key technologies of IoT. In order to better study IoT and its technologies this paper proposes an extent six-layer architecture of IoT based on network hierarchical structure firstly. Then it discusses the key technologies involved in every layer of IoT ,such as RFID , WSN, Internet ,SOA, cloud computing and Web Service etc. According to this , an automatic recognition system is designed via integrating both RFID and WSN and a strategy is also brought forward to via integrating both RFID and Web Sevice. This result offers the feasibility of technology integration of IoT .