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. In applications with a great number of sensor nodes and a wide area of monitored environment it is not always feasible to replace the battery In some cases even the lo cation of the sensor node is unknown In order to achieve a long lifetime of the s Medium Access Control. and WPAN Technologies. Chaiporn Jaikaeo. chaiporn.j@ku.ac.th. Department of Computer Engineering. Kasetsart University. Materials taken from lecture slides by Karl and Willig. Overview. 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. . SINKS. Acknowledgement. Xiujuan. Yi (xyi@uci.edu). . Malini. . Karunagaran. Rutuja Raghoji. Ramya. . Tridandapani. Introduction. Typical . sensor network applications generate . large amounts . of data and send that data to the base station . . 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. 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, …. John A. . Stankovic. Presented by:. Sandeep. . reddy. . allu. The technologies for wireless communication, sensing, . and . computation are each progressing at faster and faster . rates. . Notably, they are also being combined for an . 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. Authors: Chris . Karlof. and David Wagner. University of California at Berkeley, Berkeley, CA 94720, USA. Presented by Chung Tran. Outline. Introduction. Background. Sensory Network vs. ad-hoc wireless network. . Outline. Background. Classification of Routing Protocols. Data Centric Protocols. Flooding and Gossiping. SPIN. Directed Diffusion. Rumor Routing. Background. Sensor . nodes. Small. , wireless, battery . CS577 . Advanced . Computer Networks . WSN Outline. Introduction. Mote Revolution. Wireless Sensor Network (WSN) Applications. WSN Details. Types of Wireless Sensor Networks (WSNs). Tiered Architectures. Cross-Layered Design of Sensor Networks. I. Fundamentals . - . Basics of Wireless Ad-Hoc Networks. - Autonomous Systems. - Communication Models and Algorithms. II. Design of Wireless Sensor Networks .

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