{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T13:37:48Z","timestamp":1761745068139,"version":"3.40.5"},"reference-count":19,"publisher":"SAGE Publications","issue":"9","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2019,9]]},"abstract":"<jats:p> Cognitive radio networks are software controlled radios with the ability to allocate and reallocate spectrum depending upon the demand. Although they promise an extremely optimal use of the spectrum, they also bring in the challenges of misuse and attacks. Selfish attacks among other attacks are the most challenging, in which a secondary user or an unauthorized user with unlicensed spectrum pretends to be a primary user by altering the signal characteristics. Proposed methods leverage advancement to efficiently detect and prevent primary user emulation future attack in cognitive radio using machine language techniques. In this paper novel method is proposed to leverage unique methodology which can efficiently handle during various dynamic changes includes varying bandwidth, signature changes etc\u2026 performing learning and classification at edge nodes followed by core nodes using deep learning convolution network. The proposed method is compared with that of two other state-of-art machine learning-based attack detection protocols and has found to significantly reduce the false alarm to secondary network, at the same time improve the overall detection accuracy at the primary network. <\/jats:p>","DOI":"10.1177\/1550147719860365","type":"journal-article","created":{"date-parts":[[2019,9,6]],"date-time":"2019-09-06T05:30:04Z","timestamp":1567747804000},"page":"155014771986036","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Semi-supervised machine learning for primary user emulation attack detection and prevention through core-based analytics for cognitive radio networks"],"prefix":"10.1177","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9680-2264","authenticated-orcid":false,"given":"Sundar","family":"Srinivasan","sequence":"first","affiliation":[{"name":"Department of ECE, Mewar University, Chittorgarh, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"KB","family":"Shivakumar","sequence":"additional","affiliation":[{"name":"Department of TCE, Sri Siddhartha Institute of Technology, Tumakuru, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muazzam","family":"Mohammad","sequence":"additional","affiliation":[{"name":"Mewar University, Chittorgarh, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,9,6]]},"reference":[{"first-page":"2770","volume-title":"Proceedings of the PIERS","author":"Bednarczyk W","key":"bibr1-1550147719860365"},{"key":"bibr2-1550147719860365","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2017.2681081"},{"volume-title":"Proceedings of the 3rd international conference on cognitive radio oriented wireless networks and communications (Crowncom 2008)","author":"Clancy CT","key":"bibr3-1550147719860365"},{"key":"bibr4-1550147719860365","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2017.2675901"},{"key":"bibr5-1550147719860365","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2009.090109"},{"key":"bibr6-1550147719860365","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2008.4481338"},{"key":"bibr8-1550147719860365","doi-asserted-by":"publisher","DOI":"10.1016\/j.phycom.2010.12.003"},{"key":"bibr9-1550147719860365","doi-asserted-by":"publisher","DOI":"10.1016\/j.phycom.2012.06.002"},{"key":"bibr10-1550147719860365","first-page":"2","volume":"2010","author":"Zeng Y","year":"2010","journal-title":"EURASIP J Adv Sig Process"},{"volume-title":"Proceedings of the 2010 IEEE global telecommunications conference GLOBECOM 2010","author":"Wang W","key":"bibr11-1550147719860365"},{"key":"bibr12-1550147719860365","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2016.1200149NM"},{"key":"bibr13-1550147719860365","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2013.09.057"},{"volume-title":"Proceedings of the 2nd conference on environmental science and information application technology","author":"Weifang W","key":"bibr14-1550147719860365"},{"volume-title":"Proceedings of the 2016 online international conference on green engineering and technologies (IC-GET)","author":"Chaitanya DL","key":"bibr15-1550147719860365"},{"key":"bibr16-1550147719860365","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2012.121009"},{"key":"bibr20-1550147719860365","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2015.2438058"},{"volume-title":"Proceedings of the 2016 IEEE global communications conference (GLOBECOM)","author":"Gwon Y","key":"bibr21-1550147719860365"},{"key":"bibr22-1550147719860365","first-page":"211","volume":"4865","author":"Servin A","year":"2008","journal-title":"LNAI"},{"issue":"4","key":"bibr23-1550147719860365","first-page":"52","volume":"13","author":"Srinivasan S","year":"2018","journal-title":"Int J Appl Eng Res"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1550147719860365","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/1550147719860365","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1550147719860365","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,6]],"date-time":"2019-09-06T05:30:11Z","timestamp":1567747811000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1177\/1550147719860365"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":19,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2019,9,6]]},"published-print":{"date-parts":[[2019,9]]}},"alternative-id":["10.1177\/1550147719860365"],"URL":"https:\/\/doi.org\/10.1177\/1550147719860365","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"type":"print","value":"1550-1477"},{"type":"electronic","value":"1550-1477"}],"subject":[],"published":{"date-parts":[[2019,9]]}}}