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| 1 | Few-Shot Learning for Discovering Anomalous Behaviors in Edge Networks显示文摘Intrusion Detection Systems(IDSs)have a great interest these days to discover complex attack events and protect the critical infrastructures of the Internet of Things(IoT)networks.Existing IDSs based on shallow and deep network architectures demand high computational resources and high volumes of data to establish an adaptive detection engine that discovers new families of attacks from the edge of IoT networks.However,attackers exploit network gateways at the edge using new attacking scenarios(i.e.,zero-day attacks),such as ransomware and Distributed Denial of Service(DDoS)attacks.This paper proposes new IDS based on Few-Shot Deep Learning,named CNN-IDS,which can automatically identify zero-day attacks from the edge of a network and protect its IoT systems.The proposed system comprises two-methodological stages:1)a filtered Information Gain method is to select the most useful features from network data,and 2)one-dimensional Convolutional Neural Network(CNN)algorithm is to recognize new attack types from a network’s edge.The proposed model is trained and validated using two datasets of the UNSW-NB15 and Bot-IoT.The experimental results showed that it enhances about a 3%detection rate and around a 3%–4%falsepositive rate with the UNSW-NB15 dataset and about an 8%detection rate using the BoT-IoT dataset. | Merna Gamal Hala M.Abbas Nour Moustafa Elena Sitnikova Rowayda A.Sadek | 2021 | Computers, Materials & Continua2021，，11： | 1 |
| 2 | Systematic review of the literature for the use of oesophageal Doppler monitor for fluid replacement in major abdominal surgery显示文摘 | S. M.Abbas A. G.Hill | 2007 | Anaesthesia2007，，1： | 1 |
| 3 | DEPICT:A High-level Formal Language for Modeling Constraint Satisfaction Problems显示文摘过去的十年见证约束补偿技术的快速的开发,在算法现在能应付更大、更难的问题的地方。由于限制内在地是说明的事实,然而,注意快速向开发如此的问题能在以内被建模并且也解决了的高级程序设计语言正在转弯。沿着这些线,这篇论文论述描绘,语言。它的使用通过为很多个基准例子建模被说明。纸继续对如此的模型可以在以内被解释的一个原型系统的描述。纸与对当这典型地被解决,显示出一个问题怎么当模特儿的这个翻译的样品跑的描述得出结论。 | Abdulwahed M.Abbas Edward P.K.Tsang Ahmad H.Nasri | 2008 | International Journal of Automation and computing2008，5，2： | 0 |
| 4 | Oxidative degradation of sunflower oil blended with roasted sesame oil during heating at frying temperature显示文摘The efficacy of roasted sesame oil(SO)on the oxidation deterioration of sunflower oil(SFO)during heating was investigated.The concentrations of SO in the SFO were 0,10%,20%,and 30%by volume.The oxidation profile of oil samples was monitored by evaluating the generation of oxidation products and chemical alterations in the oils'composition during heating at frying temperature(180℃).The results showed that the oxidation parameters(free fatty acid,peroxide value,p-anisidine value,total oxidation status,thiobarbituric acid value,and color index)increased significantly in SFO compared to blends or SO during thermal treatment.During heating,the concentration of polyunsaturated fatty acids(PUFA)was reduced with increased level of saturated fatty acids;these results were observed more in SFO than those of SO or blend oils.However,the presence of SO in SFO reduced the decomposition of PUFA.In Fourier-transform infrared spectroscopy,the peak intensities were significantly altered in SFO compared to the blend oils during heating.Based on the most analytical data,it may be agreed that the heating at frying temperature led to the generation of relatively higher contents of oxidative products in SFO compared to blend oils,showing a lower degree of oxidation occurred in blends.The best frying performance for the SFO was achieved by using 30%SO extracted from the roasted sesame seed.This study showed the proper blending of high polyunsaturated oil with SO can produce oil blends with high nutritional values and enhanced stability for daily cooking and deep-frying applications. | M.Al Amin M.Abbas Ali M.Shamsul Alam Aktarun Nahar Sook Chin Chew | 2023 | Grain & Oil Science and Technology2023，6，1： | 0 |
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