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Network Traffic Anomaly Detection Based on N-ARMA Model
Pingping Gu,Shijing Zhang,Zhimin Huang,Qingfeng Wu 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.11
With the rapid development of the Internet and the continuous expanding of the data network, little potential anomaly can seriously affect the normal operation of the network, and even lead to huge economic losses. In order to be more accurate and efficient in the traffic detection, in this paper, we propose an N-ARMA based traffic anomaly detection model. We also conduct extensive experiments to verify the higher accurate ratio and recall ratio of our model by comparing with other traffic anomaly detection methods.
Pingping Li,Qiong Zhang,Tavonga Trevor Chadyagondo,Guoqing Li,Haihong Gu,Ni Li 한국섬유공학회 2020 Fibers and polymers Vol.21 No.7
In this research, non-fluorinated polyurethane/silica dioxide (PU/SiO2) nanofibrous webs were prepared byelectrospinning and hydrothermal treatment. Then the developed webs were laminated onto polyester woven fabrics toexamine their practical applications in the textile area. Investigation for surface morphology, pore size, water contact angle(WCA) and hydrostatic pressure was done in detail to examine the waterproofness and breathability of the PU/SiO2 nanofiberwebs and the laminated fabrics. The results showed that when Tetraethoxysilane concentration in electrospun solution was6 wt%, the fibrous web exhibited the desirable morphology, mechanical properties and hydrophobicity. At this time, SiO2nanoparticles dispersed uniformly on and in PU nanofibers and fibers had a more uniform diameter. The composite laminatedfabrics produced exhibited a value for hydrostatic pressure of 23.5 kPa with water vapor transmission rate (WVTR) of5.19 kg/m2/day.