Smart homes, powered by the Internet of Things, offer great convenience but also pose security concerns due to abnormal behaviors, such as improper operations of users and potential attacks from malicious attackers. Several behavior modeling methods have ...

In image watermark removal, popular methods depend on given reference non-watermark images in a supervised way to remove watermarks. However, reference non-watermark images are difficult to be obtained in the real world. At the same time, they ...

Convolutional neural networks (CNNs) have performed well in image denoising. Although some CNNs enlarge convolutional kernels and increase stacked convolutional layers to overcome the locality defect of convolutional operations, they may increase ...

• Heterogeneous architecture with deformable convolution can better filter noise.
• An enhanced residual architecture is used to remove redundant features.
• Combining a parallel and serial way can improve effects of images denoising.

Programmable Data Plane (PDP) has been leveraged to offload Network Functions (NFs). Due to its high processing capability, the PDP improves the performance of NFs by more than one order of magnitude. However, the coarse-grained NF orchestration on the ...

• The structural problem of multiple groups of cooperative-competitive network is identified, which simplifies the analysis of signed graph.
• Heterogeneous multi-agent system composed of nonlinear second-order dynamics and linear first-...

In this paper, the problem of bipartite hybrid formation tracking for multi-agent systems with heterogeneous groups is studied. First, the network structure problem of a cluster of agents with both group relationship and cooperation-competition ...

With the booming of smart home market, intelligent Internet of Things (IoT) devices have been increasingly involved in home life. To improve the user experience of smart homes, some prior works have explored how to use machine learning for predicting ...

With the booming of smart home market, intelligent Internet of Things (IoT) devices have been increasingly more involved in home life. To improve the user experience of smart home, some prior works have explored how to use time series analysis technology ...

The bumps and dips in data streams are valuable patterns for data mining and networking scenarios such as online advertising and botnet detection. In this paper, we define the wave, a data stream pattern with a serious deviation from the stable arrival ...

With the deployment of a growing number of smart home IoT devices, privacy leakage has become a growing concern. Prior work on privacy-invasive device localization, classification, and activity identification have proven the existence of various privacy ...

Network failure severely impairs network performance, affecting latency and throughput of data transmission. Existing failure localization solutions for general networks face problems such as difficulty in acquiring data from end hosts, need for extra ...

Due to strong learning ability, convolutional neural networks (CNNs) have been developed in image denoising. However, convolutional operations may change original distributions of noise in corrupted images, which may increase training difficulty ...