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Intrusion Detection System (IDS) can ensure the network security by identifying network intrusions according to the abnormal traffic data. However, the intrusion detection data has the problem of high dimensionality and changes with network and ...

• An effective algorithm for intrusion detection is proposed in this paper.
• Feature selection is based on symmetric uncertainty and approximate Markov blanket.
• A fusion neural network is constructed to extract the spatial and ...

With the increasing complexity of the power grid, the precision of the thermal power units' execution of automatic generation control (AGC) commands is gradually increasing the impact on the online regulation of the power grid. The deviation ...

• An AGC command execution effect identification and confidence evaluation algorithm (ACEEI-CEA) is proposed.
• Results show the ACEEI-CEA performs well in command prediction compared to the state-of-the-art methods.
• ACEEI-CEA achieves ...

In the realm of autonomous driving, accurately detecting 3D objects is both vital and challenging. Recently, deep convolutional networks have been successfully implemented in the fusion of LiDAR and camera data, delivering impressive results. ...

• We proposed a High-order Attention Mechanism Fusion Networks (HAMFNs) for 3D object detection.
• Query initialization strategy and high-order attention mechanism are designed in this paper.
• On the nuScenes dataset, HAMFNs achieved a ...

Nowadays, the scale of business data is expanding at an unprecedented rate. To cater to the needs of large businesses, data center networks (DCNs) have been widely deployed and are continuing to expand. However, the influx of large-scale ...

Logs contain runtime information for both systems and users. As many of them use natural language, a typical log-based analysis needs to parse logs into the structured format first. Existing parsing approaches often take two steps. The first step ...

The software-based Network Functions (NFs) improve the flexibility of network services. Comparing with hardware, NFs have specific behavioral characteristics. Performance diagnosis is the first and most difficult step during NFs’ performance ...$\mathrm{}$$\mathrm{}$

The Domain Name System (DNS) is fundamental to the operation of the Internet. Providing an up-to-date view of DNS behavior in-the-wild is thus important for various Internet stakeholders. Among the behavioral characteristics, failure ...

LiDAR and camera are two commonly used sensors in autonomous vehicles. In order to fuse the data collected by these two sensors to accurately perceive the 3D world, it is necessary to perform accurate internal parameters’ and external parameters’ ...

Virtualized Network I/O (VNIO) plays a key role in providing the network connectivity to cloud services, as it delivers packets for Virtual Machines (VMs). Existing para-virtualized solutions accelerate the virtual Switch (vSwitch) ...

In many network security systems, network packets will be archived with no loss for the purpose of forensic, troubleshooting and so on. In order to achieve fast retrieval for these stored packets, index is essential. However, with the rapid increase of ...

The purpose of this study project was to explore the link between household investment and stock market fluctuations in the United States. The research's aims are to identify the relationship between household investment and the stock market index in ...

Short-term voltage stability (STVS) assessment is one of the important challenges in the power system. With the wide application of phasor measurement units (PMUs), STVS assessment based on data-driven has attracted more and more attentions. In ...

Cyber–Physical–Social–System (CPSS) relies on cloud and edge computing for service deployment and acceleration. As an enabling technology of CPSS, network virtualization allows different services to be deployed on a single physical ...

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• Tenant’s network performance is unpredictable due to resource competition in vSwitch.

An approach of mobile multi-agent pursuit based on application of self-organizing feature map (SOFM) and along with that reinforcement learning based on agent group role membership function (AGRMF) model is proposed. This method promotes dynamic ...

Traditional traffic accident identification methods have the problems of complex detection process, poor detection performance and poor real-time performance so far. In this paper, we propose a new type of traffic accident identification method based on ...

The two-dimensional Green’s functions for two line forces and a line charge applied in the interior of the fluid and piezoelectric two-phase plane are presented in this paper. By virtue of the two-dimensional general solutions which are expressed ...

Network Intrusion Detection Systems (NIDSes) face significant challenges coming from the relentless network link speed growth and increasing complexity of threats. Both hardware accelerated and parallel software-based NIDS solutions, based on commodity ...

With the advancement of multi-core processor, it is highly desired to use parallel design to improve the IDS throughput in nowadays. However, existing parallel schemes often fail to achieve linear speedup in IDS. The throughput even deteriorates ...

With the liberalization of electric market, the customers may have different reliability requirements, which generates different reliability costs to the grid company, that means they should afford different reliability price. An integrated electric ...

Shell becomes popular in a variety of modeling techniques for representing small-scale features and increasing visual complexity. Current shell generation algorithms do not measure the volume distortion for geometric texture mapping. And when the object ...