IDENTIFICATION OF ENCRYPTED AND MALICIOUS NETWORK TRAFFIC BASED ON ONE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK

Identification of encrypted and malicious network traffic based on one-dimensional convolutional neural network

Abstract The rapid advancement of the Internet has brought a exponential growth in network traffic.At present, devices deployed at edge nodes process huge amount of data, extract Hinges key features of network traffic and then forward them to the cloud server/data center.However, since the efficiency of mobile terminal devices in identifying and cl

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Preliminary Results of Universiti Sultan Zainal Abidin Community Bone Health Screening in Manir, Kuala Terengganu using Bone Densitometry Calcaneal Quantitative Ultrasound (QUS) in Conjunction with Clinical Risk Factors

I am writing to bring attention to the issue of fragility fractures in the growing aged population of Malaysia.According to the International Osteoporosis Foundation, up to 70% of LED Pendant Light people are at risk and underdiagnosed with osteoporosis.This is a significant public health concern that needs to be addressed.Central Dual-energy X-ray

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Interval Entropy and Informative Distance

The Shannon interval entropy function as a useful dynamic measure of uncertainty for two sided truncated random variables has been proposed in the literature of reliability.In this paper, we show that interval entropy can uniquely determine the distribution function.Furthermore, Roller Bearing we propose a measure of discrepancy between two lifetim

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