{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,12,22]],"date-time":"2022-12-22T06:02:41Z","timestamp":1671688961888},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683683","type":"print"},{"value":"9781643683690","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,12,13]],"date-time":"2022-12-13T00:00:00Z","timestamp":1670889600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,13]]},"abstract":"<jats:p>With the development of multi-element integration and high elastic power grid construction, digital sensing of transmission, transformation and distribution equipment in many new energy sources, virtual power plants and load aggregators will be widely used. In this environment, it is urgent to build a reliable sensing network to support its digital sensing applications such as operation state sensing, data collection and demand management. However, due to the large number and wide distribution of distribution equipment, there may be errors in the uploading results of sensors. This paper proposes an efficient security detection strategy based on K-Means algorithm, which greatly improves the information integration and decision ability of the data center.<\/jats:p>","DOI":"10.3233\/faia220547","type":"book-chapter","created":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T08:00:27Z","timestamp":1671609627000},"source":"Crossref","is-referenced-by-count":0,"title":["Efficient Security Detection Strategy Based on K-Means Algorithm in LPWAN"],"prefix":"10.3233","author":[{"given":"Minhao","family":"Jin","sequence":"first","affiliation":[{"name":"State Grid Zhejiang Electric Power Company, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaojie","family":"Luo","sequence":"additional","affiliation":[{"name":"State Grid Zhejiang Electric Power Company, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiabin","family":"Huang","sequence":"additional","affiliation":[{"name":"State Grid Zhejiang Electric Power Company, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xincheng","family":"Zhou","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Proceedings of CECNet 2022"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220547","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T08:00:27Z","timestamp":1671609627000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220547"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,13]]},"ISBN":["9781643683683","9781643683690"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220547","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,13]]}}}