Action recognition has already been a heated research topic recently, which attempts to classify different human actions in videos. The current main-stream methods generally utilize ImageNet-pretrained model as features extractor, however it’s not the optimal choice to pretrain a model for classifying videos on a huge still image dataset. What’s more, very few works notice that 3D convolution neural network(3D CNN) is better for low-level spatial-temporal features extraction while recurrent neural network(RNN) is better for modelling high-level temporal feature sequences. Consequently, a novel model is proposed in our work to address the two problems mentioned above. First, we pretrain 3D CNN model on huge video action recognition dataset Kinetics to improve generality of the model. And then long short term memory(LSTM) is introduced to model the high-level temporal features produced by the Kinetics-pretrained 3D CNN model. Our experiments results show that the Kinetics-pretrained model can generally outperform ImageNet-pretrained model. And our proposed network finally achieve leading performance on UCF-101 dataset.
Nowadays more and more IoT devices, including a large number of IoT servers, have been deployed on the Internet. The security of IoT servers has always been a challenge. In this paper, a new model named addressless IoT server is proposed, which allows people to use the large IPv6 address space to protect IoT server security. The server is allocated an IPv6 prefix instead of an address. When the authenticated client initiates communication, it uses an encryption mechanism to generate a specific destination address under the prefix. The server verifies the destination address when receiving the packet, and discards the packet if the verification fails. In this way, the model can prevent attackers from perceiving the server and launching scans or attacks, while remains compatible with the current Internet. The prototype is implemented and an extensive set of experiments are conducted in this paper. The results demonstrate that the model can better protect server security. INDEX TERMS IPv6, IPv6 address space, Internet of Things, network security, prefix delegation.
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