The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
As the flooding of malicious codes such as worms, how to analyze large number of malicious samples quickly and effectively becomes a great issue for researchers in network security. This paper proposed an analysis algorithm for worm network behavior based on event sequence, which uses the data flow recombination and compression methods to process the pure malicious data. With this algorithm, one can...
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,...
Traffic matrices are very essential for many network engineering tasks: for instance, load balancing, capacity planning, routing protocol configuration. However, measuring these traffic matrices directly is difficult and costly. Hence many methods have been proposed to estimate these traffic matrices based on link load measurements and other more easily available data. This paper presents an iterative...
With the development of high-speed networks, the challenge of effectively analyzing the massive data source for anomaly detection and diagnosis is yet to be resolved. This paper proposes a new flow-based anomaly detection method based on summary data structures and combinations of traffic features. Using IPFIX flow records as input, parallel sketches are established for chosen traffic features respectively...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.