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All sorts of Malwares severely threaten users in Internet. These malwares do share some common characteristics, despite malware and its variants may vary a lot from content signatures. The common characteristics they shared can be used to reveal the real intent of malware. In this paper, we study on the behavior characteristics of malwares in Internet, and based on which we present the method to extract...
Today's datacenter is shared among various applications with different QoS requirements, which poses a great challenge to deliver low delay transport with high throughput. Most of works address this challenge by reducing the in-network delay, but assumes a negligible local delay. However, we show that this assumption does not hold for a multi-tenant datacenter that a physical machine is shared by...
With the development of society, the intelligent transportation system has been unable to meet the present traffic demand, the emergence of the Internet of things provides a new road for intelligent traffic development. The comprehensive application of the Internet of things and the license plate recognition technology make intelligent traffic more perfect and more functional. This article will try...
In this paper, a building energy consumption monitoring system based on WSN and Ethernet for energy efficiency of public buildings in colleges and universities is presented. A ZigBee core module is embedded in the field power measurement in buildings, and every field device can access WSN at low cost easily. In this monitoring system, a gateway based on Ethernet and ZigBee, which also acts as coordinator,...
In order to revealing the influence of nitrogen (N) on wetland plants, the hyperspectral traits of reed (Phragmites australis) were measured by FieldSpec®3. There were five N treatments, including 0, 1, 2, 5, and 20 mg/L. The hyperspectral information is useful to exhibit the characteristics of spectral reflectance in reed leaves under N influence. The results showed that the chlorophyll content of...
Network traffic anomaly detection is an important component in network security and management domains which can help to improve availability and reliability of networks. This paper proposes a flow-based anomaly detection method with the help of entropy. Using IPFIX, flow records containing multiple traffic features are collected in each time window. With entropy, joint probability space for multiple...
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