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dc.contributor.advisorChakrabarty, Dr. Amitabha
dc.contributor.advisorMostakim, Moin
dc.contributor.authorNasnin, Fahia
dc.contributor.authorIslam, Najia
dc.date.accessioned2017-05-11T07:03:21Z
dc.date.available2017-05-11T07:03:21Z
dc.date.copyright2017
dc.date.issued2017-04-18
dc.identifier.otherID 13101138
dc.identifier.otherID 13101142
dc.identifier.urihttp://hdl.handle.net/10361/8118
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.en_US
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 39-40).
dc.description.abstractIn wireless communication system Cognitive Radio(CR) is a structure that can gives an intelligent privileges to communicate over internet. Cognitive Radio(CR) intel- ligently allows user to use free spectrum. It is dynamically configured and it allows more user in wireless network. IEEE 802.22 standard cognitive radio (CR) was de- veloped first. Due to spectrum sensing, sharing, mobility there is a issue in security. Ensuring security and using spectrum efficiently is challenging. In this paper, the se- curity threats of cognitive radio network are briefly discussed. After explaining some of possible attack, we have emphasized on Primary user emulation attack(PUEA). With the existing system model the probability of false alarm and miss detection has been studied. MATLAB R2010a tool has been used to analyze the model. This pa- per we have shown Neyman-Pearson Criterion to detect PUEA and a for different malicious users status to create false alarm and miss detectionen_US
dc.description.statementofresponsibilityFahia Nasnin
dc.description.statementofresponsibilityNajia Islam
dc.format.extent40 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectSecurityen_US
dc.subjectCognitive radio networken_US
dc.titleSecurity analysis in cognitive radio networken_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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