By Minsu Shin, Mankyu Park, Deockgil Oh (auth.), Tai-hoon Kim, Hojjat Adeli, Rosslin John Robles, Maricel Balitanas (eds.)
This quantity constitutes the refereed complaints of the third foreign convention on complex conversation and Networking, ACN 2011, held in Brno, Czech Republik, in June 2011. The fifty seven revised complete papers awarded during this quantity have been conscientiously reviewed and chosen from a variety of submissions. The papers specialize in many of the facets of development in complex verbal exchange and Networking with computational sciences, arithmetic and data expertise and tackle all present problems with verbal exchange simple and infrastructure, networks simple and administration, multimedia software, photo, video, sign and knowledge processing.
Read or Download Advanced Communication and Networking: Third International Conference, ACN 2011, Brno, Czech Republic, August 15-17, 2011. Proceedings PDF
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Additional resources for Advanced Communication and Networking: Third International Conference, ACN 2011, Brno, Czech Republic, August 15-17, 2011. Proceedings
By comparing (a), (b) and (c) in Figure 1-4 with (a), (b) and (c) in Figure 4, 5 and 6, it is possible to know that there are clearly small changes in regard to the changes related to the state of brainwave according to temperature changes. Also, the state of brainwave between the frontal lobe and the temporal lobe is being actively executed. In regard to the correlation coefficients among different channels for the measurement of the changes related to the state of brainwave, it is possible to know that there are small changes related to the state of brainwave as well as the changes related to the surrounding temperature.
4 Experimental Method 5 Step 1 The people in the subject group of the experiment are instructed to have stable positions with electrodes on their scalps for 10 minutes after entering the room where the measurement process is executed according to the specified order. 5 Step 2 After the time for stabilization is passed, the pulse and blood pressure of the subject group of people is measured. Also, at the same time, the brainwave in the state of stabilization is collected for three minutes. 5 Step 3 After the brainwave in the state of stabilization is completely measured, one minute of free time is given to each person in the subject group.
However, the existing methods are vulnerable to MAC address spoofing, in which a malicious user changes a client’s MAC address into his own, calling for a new detection method. Therefore, this paper provides a method of detecting MAC address spoofing attacks in real-time by collecting wireless traffic data through AirSensor/AP- and using a MAC Address Index table in TMS. Keywords: Wireless Sensor Network, MAC Address Spoofing, Spoofing Attack Detection. 1 Introduction A wired network can be used only when a user receives an IP address and physical port connection from a network administrator.