PPT-Detecting Phantom Nodes in Wireless Sensor Networks
Author : phoebe-click | Published Date : 2016-06-16
J Hwang T He Y Kim Presented by Shan Gao Introduction Target the scenarios where attackers announce phantom nodes Phantom node Fake their ranging information
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Detecting Phantom Nodes in Wireless Sensor Networks: Transcript
J Hwang T He Y Kim Presented by Shan Gao Introduction Target the scenarios where attackers announce phantom nodes Phantom node Fake their ranging information Identify and filter out. g shooter detection Goals of clock synchronization Compensate offset between clocks Compensate drift between clocks terms are explained on following slides Time Synchronization Sensing Localization Duty Cycling TDMA Ad Hoc and Sensor Networks Roger W Abstract. Ad hoc low-power wireless networks are an exciting research direction in sensing and pervasive computing. .. . Prior security work in this area has focused primarily on denial of communication at the routing or medium access control levels. . . Outline. Background. Classification of Routing Protocols. Data Centric Protocols. Flooding and Gossiping. SPIN. Directed Diffusion. Rumor Routing. Background. Sensor . nodes. Small. , wireless, battery . A Survey. Presented By: . Anubhav Mathur. Department of Computer Science. University of Connecticut. Authors:. John Paul Walters, . Zhengqiang. Liang,. Weisong. Shi, and . Vipin. Chaudhary. Department of Computer Science. Background Information. Le . Fantôme. de . l'Opéra. Novel by Gaston . Leroux. Published in 1909. Partly inspired by historical events at the Paris Opera during the 1800s. Phantom of the Opera. Musical. A proposal for an integrated new routing protocol using existing technologies used for underwater communications. By Prajit Kumar Das. For CMSC 601: Research Skills in Computer Science. Date: April 20. 488/489. Fall . 2009/Spring 2010. Projects. Mehmet. Can Vuran. Assistant Professor. 107 . Schorr. University of Nebraska – Lincoln. Lincoln, NE 68588-0115. mcvuran@cse.unl.edu. www.cse.unl.edu/~mcvuran. Dr. Xinrong Li. Department of Electrical Engineering. University of North Texas. E-mail: xinrong@unt.edu. Fundamental Limits of Localization with RF Signals. Location sensing modality:. TOA, TDOA, RSS, AOA, proximity, fingerprinting, …. Isabel Dietrich. Falko. Dressler. ACM Transaction on Sensor Networks, 2009. Presented by Group 6 . Tianyi. Pan. Why Limited Lifetime for WSNs?. 2. Various application domains. Wildlife monitoring. Precision agriculture. . Outline. Background. Classification of Routing Protocols. Data Centric Protocols. Flooding and Gossiping. SPIN. Directed Diffusion. Rumor Routing. Background. Sensor . nodes. Small. , wireless, battery . Security. Babak . D. Beheshti. Professor & Associate Dean,. School . of Engineering & Computing . Sciences, New . York Institute of Technology. Old Westbury, NY, USA. Presenter and Date. Agenda. .. Wireless is Global. The standard radio frequencies run in the range of 3Hz to 300 GHz. There is other frequencies used for example the 222 MHz through 225 MHz is for amateur radio. If your interested in what frequencies your country is using for what? Take a look at the frequencies. CS577 . Advanced . Computer Networks . WSN Outline. Introduction. Mote Revolution. Wireless Sensor Network (WSN) Applications. WSN Details. Types of Wireless Sensor Networks (WSNs). Tiered Architectures. August 2015. June 2014. Signal Networks Division. Raymond Shen, PhD. Monitoring equipment is changing. Traditional spectrum monitoring and DF systems are too big, too expensive, and hard to “site” for today’s high-density urban settings .
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