{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T08:33:12Z","timestamp":1742977992630,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030242640"},{"type":"electronic","value":"9783030242657"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-24265-7_43","type":"book-chapter","created":{"date-parts":[[2019,7,17]],"date-time":"2019-07-17T23:19:24Z","timestamp":1563405564000},"page":"499-508","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Power System Anomaly Data Identification Method Based on Neural Network and Affine Propagation"],"prefix":"10.1007","author":[{"given":"Li","family":"Shen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunhe","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ran","family":"Ran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,7,11]]},"reference":[{"key":"43_CR1","doi-asserted-by":"crossref","unstructured":"Alamin, A., Peng, J.C.: A detailed tuning evaluation of sensitivity threshold using LNRT for bad data detection in state estimation. In 2015 IEEE 8th GCC Conference Exhibition, pp. 1\u20134 (2015)","DOI":"10.1109\/IEEEGCC.2015.7060099"},{"issue":"1","key":"43_CR2","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1109\/TPWRD.2017.2669110","volume":"33","author":"Y Wu","year":"2018","unstructured":"Wu, Y., Xiao, Y., Hohn, F., Nordstr\u00f6m, L., Wang, J., Zhao, W.: Bad data detection using linear wls and sampled values in digital substations. IEEE Trans. Power Delivery 33(1), 150\u2013157 (2018)","journal-title":"IEEE Trans. Power Delivery"},{"issue":"1","key":"43_CR3","first-page":"001","volume":"55","author":"J Wang","year":"2018","unstructured":"Wang, J., Meng, R., Rice, S.G., Sun, X.: A fusion steganographic algorithm based on faster R-CNN. CMC: Comput. Mater. Contin. 55(1), 001\u2013016 (2018)","journal-title":"CMC: Comput. Mater. Contin."},{"issue":"1","key":"43_CR4","first-page":"121","volume":"55","author":"F Li","year":"2018","unstructured":"Li, F., Sherratt, R.S., Zeng, D., Dai, Y., Wang, J.: Adversarial learning for distant supervised relation extraction. CMC: Comput. Mater. Contin. 55(1), 121\u2013136 (2018)","journal-title":"CMC: Comput. Mater. Contin."},{"key":"43_CR5","doi-asserted-by":"crossref","unstructured":"Wang, S., Su, A., Ji, C., Ge, W., Xia, Y., Yan, C.: A fast method for identifying bad data of massive power network data. In: 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), pp. 1\u20135 (2017)","DOI":"10.1109\/EI2.2017.8245466"},{"key":"43_CR6","doi-asserted-by":"crossref","unstructured":"Wu, Z., et al.: Power system bad load data detection based on an improved fuzzy c-means clustering algorithm. In: 2017 IEEE Power Energy Society General Meeting, pp. 1\u20135 (2017)","DOI":"10.1109\/PESGM.2017.8274732"},{"key":"43_CR7","doi-asserted-by":"crossref","unstructured":"Pau, M., Ponci, F., Monti, A.: Analysis of bad data detection capabilities through smart meter based state estimation. In: 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC\/I CPS Europe), pp. 1\u20136 (2018)","DOI":"10.1109\/EEEIC.2018.8494551"},{"key":"43_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.apenergy.2017.03.023","volume":"195","author":"C Song","year":"2017","unstructured":"Song, C., Jing, W., Zeng, P., Rosenberg, C.: An analysis on the energy consumption of circulating pumps of residential swimming pools for peak load management. Appl. Energy 195, 1\u201312 (2017)","journal-title":"Appl. Energy"},{"key":"43_CR9","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1016\/j.apenergy.2018.03.094","volume":"220","author":"C Song","year":"2018","unstructured":"Song, C., Wei, J., Peng, Z., Haibin, Y., Rosenberg, C.: Energy consumption analysis of residential swimming pools for peak load shaving. Appl. Energy 220, 176\u2013191 (2018)","journal-title":"Appl. Energy"},{"key":"43_CR10","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.comnet.2018.05.026","volume":"141","author":"C Xu","year":"2018","unstructured":"Xu, C., Song, C., Zeng, P., Yu, H.: Secure resource allocation for energy harvesting cognitive radio sensor networks without and with cooperative jamming. Comput. Netw. 141, 189\u2013198 (2018)","journal-title":"Comput. Netw."},{"issue":"4","key":"43_CR11","first-page":"462","volume":"46","author":"M Wan","year":"2017","unstructured":"Wan, M., Zhao, J., Yuan, W., Zeng, P., Cui, J., Shang, W.: Intrusion detection of industrial control based on semi-supervised clustering strategy. Inform. Control 46(4), 462\u2013468 (2017)","journal-title":"Inform. Control"},{"key":"43_CR12","doi-asserted-by":"crossref","unstructured":"Shang, W., Cui, J., Song, C., Zhao, J., Zeng, P.: Research on industrial control anomaly detection based on FCM and SVM. In: 2018 17th IEEE International Conference on Trust, Security and Privacy in Computing And Communications\/12th IEEE International Conference on Big Data Science and Engineering (TrustCom\/BigDataSE), pp. 218\u2013222 (2018)","DOI":"10.1109\/TrustCom\/BigDataSE.2018.00042"},{"issue":"C","key":"43_CR13","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.comnet.2015.12.012","volume":"99","author":"X Chang","year":"2016","unstructured":"Chang, X., Wang, J., Wang, J., Lu, K., Yi, Z.: On the optimal design of secure network coding against wiretapping attack. Comput. Netw. 99(C), 82\u201398 (2016)","journal-title":"Comput. Netw."},{"issue":"2","key":"43_CR14","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1109\/TMC.2015.2416182","volume":"15","author":"X Chang","year":"2016","unstructured":"Chang, X., et al.: Accuracy-aware interference modeling and measurement in wireless sensor networks. IEEE Trans. Mob. Comput. 15(2), 278\u2013291 (2016)","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"S1","key":"43_CR15","first-page":"1","volume":"25","author":"H Zhu","year":"2017","unstructured":"Zhu, H., et al.: A novel lung cancer detection algorithm for CADs based on SSP and level set. Technol. Health Care 25(S1), 1\u201311 (2017)","journal-title":"Technol. Health Care"},{"issue":"10","key":"43_CR16","doi-asserted-by":"publisher","first-page":"4395","DOI":"10.1109\/TII.2018.2793905","volume":"14","author":"C Song","year":"2018","unstructured":"Song, C., Zeng, P., Wang, Z., Zhao, H., Yu, H.: Wearable continuous body temperature measurement using multiple artificial neural networks. IEEE Trans. Ind. Inform. 14(10), 4395\u20134406 (2018)","journal-title":"IEEE Trans. Ind. Inform."},{"issue":"5814","key":"43_CR17","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1126\/science.1136800","volume":"315","author":"BJ Frey","year":"2007","unstructured":"Frey, B.J., Dueck, D.: Clustering by passing messages between data points. Science 315(5814), 972\u2013976 (2007)","journal-title":"Science"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Security"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-24265-7_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T02:04:03Z","timestamp":1594346643000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-24265-7_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030242640","9783030242657"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-24265-7_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"11 July 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence and Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New York, NY","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"incodldos2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icaisconf.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}