{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T17:16:28Z","timestamp":1771002988761,"version":"3.50.1"},"reference-count":15,"publisher":"SAGE Publications","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2022,12,19]]},"abstract":"<jats:p>The abnormality of communication link of mobile Internet of Things will threaten the security of communication of mobile Internet of Things, and the existing abnormality detection method is limited due to low accuracy, long time consumption and high energy consumption. To this end, the anomaly detection method of communication link of mobile Internet of Things based on EM algorithm is proposed in this study. Firstly, the anomaly range of the Internet of Things is located according to the communication node information of the data changes. Then the abnormal link of the target is judged and the anomaly feature of the communication link of the Internet of Things based on twin neural network is extracted. Finally, EM algorithm is improved with semi-supervised machine learning method to detect abnormal communication links of mobile Internet of Things. The experimental results show that the proposed method has the advantages of high precision, short time consumption and low energy consumption in the anomaly detection of communication links in the Internet of Things.<\/jats:p>","DOI":"10.3233\/jcm-226416","type":"journal-article","created":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T11:30:29Z","timestamp":1662118229000},"page":"1967-1979","source":"Crossref","is-referenced-by-count":0,"title":["Anomaly detection of communication link of mobile internet of things based on EM algorithm"],"prefix":"10.1177","volume":"22","author":[{"given":"Qian","family":"Li","sequence":"first","affiliation":[]}],"member":"179","reference":[{"issue":"10","key":"10.3233\/JCM-226416_ref1","doi-asserted-by":"crossref","first-page":"1836","DOI":"10.1109\/LCOMM.2019.2933211","article-title":"Symmetry chirp modulation waveform design for LEO satellite IoT communication","volume":"23","author":"Roy","year":"2019","journal-title":"IEEE Commun Lett."},{"issue":"1","key":"10.3233\/JCM-226416_ref2","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1109\/MWC.2019.1800020","article-title":"Narrowband IoT: A survey on downlink and uplink perspectives","volume":"26","author":"Feltrin","year":"2019","journal-title":"IEEE Wireless Commun."},{"issue":"3","key":"10.3233\/JCM-226416_ref3","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1109\/MCOM.001.2000463","article-title":"Radio frequency identification and sensing: integration of wireless powering, sensing, and communication for IIoT innovations","volume":"59","author":"Meng","year":"2021","journal-title":"IEEE Commun Magazine."},{"issue":"11","key":"10.3233\/JCM-226416_ref4","first-page":"445","article-title":"Simulation of interactive data anomaly detection in multi-link instant communication","volume":"36","author":"Zhao","year":"2019","journal-title":"Comput Simulation."},{"issue":"4","key":"10.3233\/JCM-226416_ref5","first-page":"457","article-title":"Hierarchical heterogeneous network link interruption fault detection simulation","volume":"36","author":"Zhao","year":"2019","journal-title":"Comput Simul."},{"issue":"3","key":"10.3233\/JCM-226416_ref6","doi-asserted-by":"crossref","first-page":"3166","DOI":"10.1109\/TVT.2019.2963406","article-title":"A node location algorithm based on node movement prediction in underwater acoustic sensor networks","volume":"69","author":"Zhang","year":"2020","journal-title":"IEEE Trans Veh Technol."},{"issue":"5","key":"10.3233\/JCM-226416_ref7","doi-asserted-by":"crossref","first-page":"1818","DOI":"10.1109\/TPWRD.2018.2876248","article-title":"Measurement methods of outdoor low-voltage cable characteristics for narrowband power line communication","volume":"34","author":"Kharraz","year":"2019","journal-title":"IEEE Trans Power Delivery."},{"issue":"11","key":"10.3233\/JCM-226416_ref8","doi-asserted-by":"crossref","first-page":"1651","DOI":"10.1049\/iet-com.2018.6200","article-title":"A fog-based semantic model for supporting interoperability in Internet of Things","volume":"13","author":"Rahman","year":"2019","journal-title":"IET Commun."},{"issue":"20","key":"10.3233\/JCM-226416_ref9","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.scitotenv.2019.07.211","article-title":"Spatial characteristics of volatile communication in lodgepole pine trees: evidence of kin recognition and intra-species support","volume":"692","author":"Hussain","year":"2019","journal-title":"Sci Total Environ."},{"issue":"2","key":"10.3233\/JCM-226416_ref10","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/MNET.2019.1800236","article-title":"Toward integrating vehicular clouds with IoT for smart city services","volume":"33","author":"Khattak","year":"2019","journal-title":"IEEE Network."},{"issue":"6","key":"10.3233\/JCM-226416_ref11","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.1109\/LCOMM.2019.2911518","article-title":"Maximum-likelihood direction finding under elliptical noise using the EM algorithm","volume":"23","author":"Baktash","year":"2019","journal-title":"IEEE Commun Lett."},{"key":"10.3233\/JCM-226416_ref12","doi-asserted-by":"crossref","unstructured":"Zhang F, Zhang Z, Yu W, Truong TK. 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