{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T00:05:16Z","timestamp":1772409916483,"version":"3.50.1"},"publisher-location":"Cham","reference-count":37,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030235963","type":"print"},{"value":"9783030235970","type":"electronic"}],"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"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-23597-0_27","type":"book-chapter","created":{"date-parts":[[2019,6,20]],"date-time":"2019-06-20T11:03:48Z","timestamp":1561028628000},"page":"335-345","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Wide and Recurrent Neural Networks for Detection of False Data Injection in Smart Grids"],"prefix":"10.1007","author":[{"given":"Yawei","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donghui","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baogui","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiuzhen","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,6,21]]},"reference":[{"key":"27_CR1","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1109\/TPAS.1979.319407","volume":"2","author":"T Athay","year":"1979","unstructured":"Athay, T., Podmore, R., Virmani, S.: A practical method for the direct analysis of transient stability. IEEE Trans. Power Apparatus Syst. 2, 573\u2013584 (1979)","journal-title":"IEEE Trans. Power Apparatus Syst."},{"issue":"12","key":"27_CR2","doi-asserted-by":"crossref","first-page":"1763","DOI":"10.4236\/ajps.2014.512191","volume":"5","author":"A Bertaccini","year":"2014","unstructured":"Bertaccini, A., Duduk, B., Paltrinieri, S., Contaldo, N.: Phytoplasmas and phytoplasma diseases: a severe threat to agriculture. Am. J. Plant Sci. 5(12), 1763 (2014)","journal-title":"Am. J. Plant Sci."},{"key":"27_CR3","doi-asserted-by":"crossref","unstructured":"Cheng, H.T., et al.: Wide & deep learning for recommender systems. In: Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, pp. 7\u201310. ACM (2016)","DOI":"10.1145\/2988450.2988454"},{"issue":"1","key":"27_CR4","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1109\/TII.2015.2470218","volume":"13","author":"R Deng","year":"2017","unstructured":"Deng, R., Xiao, G., Lu, R.: Defending against false data injection attacks on power system state estimation. IEEE Trans. Industr. Inf. 13(1), 198\u2013207 (2017)","journal-title":"IEEE Trans. Industr. Inf."},{"issue":"2","key":"27_CR5","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1109\/TII.2016.2614396","volume":"13","author":"R Deng","year":"2017","unstructured":"Deng, R., Xiao, G., Lu, R., Liang, H., Vasilakos, A.V.: False data injection on state estimation in power systems-attacks, impacts, and defense: a survey. IEEE Trans. Industr. Inf. 13(2), 411\u2013423 (2017)","journal-title":"IEEE Trans. Industr. Inf."},{"issue":"3","key":"27_CR6","doi-asserted-by":"crossref","first-page":"1644","DOI":"10.1109\/JSYST.2014.2341597","volume":"11","author":"M Esmalifalak","year":"2017","unstructured":"Esmalifalak, M., Liu, L., Nguyen, N., Zheng, R., Han, Z.: Detecting stealthy false data injection using machine learning in smart grid. IEEE Syst. J. 11(3), 1644\u20131652 (2017)","journal-title":"IEEE Syst. J."},{"key":"27_CR7","unstructured":"Grid, N.S.: Introduction to NISTIR 7628 guidelines for smart grid cyber security. Guideline, September 2010"},{"issue":"1","key":"27_CR8","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1109\/TSIPN.2017.2749959","volume":"4","author":"Y Guan","year":"2018","unstructured":"Guan, Y., Ge, X.: Distributed attack detection and secure estimation of networked cyber-physical systems against false data injection attacks and jamming attacks. IEEE Trans. Signal Inf. Process. Over Netw. 4(1), 48\u201359 (2018)","journal-title":"IEEE Trans. Signal Inf. Process. Over Netw."},{"issue":"5","key":"27_CR9","doi-asserted-by":"crossref","first-page":"2505","DOI":"10.1109\/TSG.2017.2703842","volume":"8","author":"Y He","year":"2017","unstructured":"He, Y., Mendis, G.J., Wei, J.: Real-time detection of false data injection attacks in smart grid: a deep learning-based intelligent mechanism. IEEE Trans. Smart Grid 8(5), 2505\u20132516 (2017)","journal-title":"IEEE Trans. Smart Grid"},{"issue":"8","key":"27_CR10","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"issue":"3","key":"27_CR11","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1007\/s40565-016-0210-y","volume":"4","author":"A Ikbal","year":"2016","unstructured":"Ikbal, A., Aftab, M.A., Hussain, S.S.: Performance comparison of IEC 61850\u201390-5 and IEEE C37. 118.2 based wide area PMU communication networks. J. Mod. Power Syst. Clean Energy 4(3), 487\u2013495 (2016)","journal-title":"J. Mod. Power Syst. Clean Energy"},{"issue":"1","key":"27_CR12","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1109\/TPWRS.2017.2707501","volume":"33","author":"J James","year":"2018","unstructured":"James, J., Hill, D.J., Lam, A.Y., Gu, J., Li, V.O.: Intelligent time-adaptive transient stability assessment system. IEEE Trans. Power Syst. 33(1), 1049\u20131058 (2018)","journal-title":"IEEE Trans. Power Syst."},{"issue":"2","key":"27_CR13","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1109\/TSG.2011.2119336","volume":"2","author":"TT Kim","year":"2011","unstructured":"Kim, T.T., Poor, H.V.: Strategic protection against data injection attacks on power grids. IEEE Trans. Smart Grid 2(2), 326\u2013333 (2011)","journal-title":"IEEE Trans. Smart Grid"},{"issue":"4","key":"27_CR14","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1109\/TSG.2011.2163807","volume":"2","author":"O Kosut","year":"2011","unstructured":"Kosut, O., Jia, L., Thomas, R.J., Tong, L.: Malicious data attacks on the smart grid. IEEE Trans. Smart Grid 2(4), 645\u2013658 (2011)","journal-title":"IEEE Trans. Smart Grid"},{"issue":"4","key":"27_CR15","doi-asserted-by":"crossref","first-page":"1630","DOI":"10.1109\/TSG.2015.2495133","volume":"8","author":"G Liang","year":"2017","unstructured":"Liang, G., Zhao, J., Luo, F., Weller, S.R., Dong, Z.Y.: A review of false data injection attacks against modern power systems. IEEE Trans. Smart Grid 8(4), 1630\u20131638 (2017)","journal-title":"IEEE Trans. Smart Grid"},{"issue":"4","key":"27_CR16","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1109\/MNET.2018.1700349","volume":"32","author":"Y Liang","year":"2018","unstructured":"Liang, Y., Cai, Z., Yu, J., Han, Q., Li, Y.: Deep learning based inference of private information using embedded sensors in smart devices. IEEE Netw. 32(4), 8\u201314 (2018)","journal-title":"IEEE Netw."},{"key":"27_CR17","doi-asserted-by":"crossref","unstructured":"Lin, J., Yu, W., Yang, X., Xu, G., Zhao, W.: On false data injection attacks against distributed energy routing in smart grid. In: Proceedings of the 2012 IEEE\/ACM Third International Conference on Cyber-Physical Systems, pp. 183\u2013192. IEEE Computer Society (2012)","DOI":"10.1109\/ICCPS.2012.26"},{"issue":"2","key":"27_CR18","doi-asserted-by":"publisher","first-page":"612","DOI":"10.1109\/TSG.2013.2284438","volume":"5","author":"L Liu","year":"2014","unstructured":"Liu, L., Esmalifalak, M., Ding, Q., Emesih, V.A., Han, Z.: Detecting false data injection attacks on power grid by sparse optimization. IEEE Trans. Smart Grid 5(2), 612\u2013621 (2014). \n                      https:\/\/doi.org\/10.1109\/TSG.2013.2284438","journal-title":"IEEE Trans. Smart Grid"},{"issue":"2","key":"27_CR19","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1109\/TSG.2013.2284438","volume":"5","author":"L Liu","year":"2014","unstructured":"Liu, L., Esmalifalak, M., Ding, Q., Emesih, V.A., Han, Z.: Detecting false data injection attacks on power grid by sparse optimization. IEEE Trans. Smart Grid 5(2), 612\u2013621 (2014)","journal-title":"IEEE Trans. Smart Grid"},{"key":"27_CR20","doi-asserted-by":"publisher","unstructured":"Liu, Y., Ning, P., Reiter, M.K.: False data injection attacks against state estimation in electric power grids. In: Proceedings of the 16th ACM Conference on Computer and Communications Security, CCS 2009, pp. 21\u201332. ACM, New York, NY, USA (2009). \n                      https:\/\/doi.org\/10.1145\/1653662.1653666\n                      \n                    , \n                      http:\/\/doi.acm.org\/10.1145\/1653662.1653666","DOI":"10.1145\/1653662.1653666"},{"issue":"1","key":"27_CR21","first-page":"13","volume":"14","author":"Y Liu","year":"2011","unstructured":"Liu, Y., Ning, P., Reiter, M.K.: False data injection attacks against state estimation in electric power grids. ACM Trans. Inf. Syst. Secur. (TISSEC) 14(1), 13 (2011)","journal-title":"ACM Trans. Inf. Syst. Secur. (TISSEC)"},{"issue":"4","key":"27_CR22","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1109\/TCNS.2014.2357531","volume":"1","author":"K Manandhar","year":"2014","unstructured":"Manandhar, K., Cao, X., Hu, F., Liu, Y.: Detection of faults and attacks including false data injection attack in smart grid using Kalman filter. IEEE Trans. Control Netw. Syst. 1(4), 370\u2013379 (2014). \n                      https:\/\/doi.org\/10.1109\/TCNS.2014.2357531","journal-title":"IEEE Trans. Control Netw. Syst."},{"issue":"4","key":"27_CR23","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1109\/TCNS.2014.2357531","volume":"1","author":"K Manandhar","year":"2014","unstructured":"Manandhar, K., Cao, X., Hu, F., Liu, Y.: Detection of faults and attacks including false data injection attack in smart grid using Kalman filter. IEEE Trans. Control Netw. Syst. 1(4), 370\u2013379 (2014)","journal-title":"IEEE Trans. Control Netw. Syst."},{"issue":"2","key":"27_CR24","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1109\/5.824004","volume":"88","author":"A Monticelli","year":"2000","unstructured":"Monticelli, A.: Electric power system state estimation. Proc. IEEE 88(2), 262\u2013282 (2000)","journal-title":"Proc. IEEE"},{"key":"27_CR25","unstructured":"PowerFactory-DIgSILENT Germany (2017). \n                      https:\/\/www.digsilent.de\/en\/powerfactory.html"},{"issue":"8","key":"27_CR26","doi-asserted-by":"crossref","first-page":"1773","DOI":"10.1109\/TNNLS.2015.2404803","volume":"27","author":"M Ozay","year":"2016","unstructured":"Ozay, M., Esnaola, I., Vural, F.T.Y., Kulkarni, S.R., Poor, H.V.: Machine learning methods for attack detection in the smart grid. IEEE Trans. Neural Netw. Learn. Syst. 27(8), 1773\u20131786 (2016)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"27_CR27","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1109\/TPWRS.1986.4334878","volume":"1","author":"AG Phadke","year":"1986","unstructured":"Phadke, A.G., Thorp, J.S., Karimi, K.: State estimlatjon with phasor measurements. IEEE Transactions on Power Systems 1(1), 233\u2013238 (1986)","journal-title":"IEEE Transactions on Power Systems"},{"key":"27_CR28","doi-asserted-by":"crossref","unstructured":"Rahman, M.A., Mohsenian-Rad, H.: False data injection attacks against nonlinear state estimation in smart power grids. In: 2013 IEEE Power & Energy Society General Meeting, pp. 1\u20135. IEEE (2013)","DOI":"10.1109\/PESMG.2013.6672638"},{"issue":"1","key":"27_CR29","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1109\/TPAS.1970.292680","volume":"PAS\u201389","author":"FC Schweppe","year":"1970","unstructured":"Schweppe, F.C.: Power system static-state estimation, Part III: Implementation. IEEE Trans. Power Appar. Syst. PAS\u201389(1), 130\u2013135 (1970)","journal-title":"IEEE Trans. Power Appar. Syst."},{"issue":"1","key":"27_CR30","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1109\/TPAS.1970.292679","volume":"PAS\u201389","author":"FC Schweppe","year":"1970","unstructured":"Schweppe, F.C., Rom, D.B.: Power system static-state estimation, Part II: approximate model. IEEE Trans. Power Appar. Syst. PAS\u201389(1), 125\u2013130 (1970)","journal-title":"IEEE Trans. Power Appar. Syst."},{"issue":"1","key":"27_CR31","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1109\/TPAS.1970.292678","volume":"PAS\u201389","author":"FC Schweppe","year":"1970","unstructured":"Schweppe, F.C., Wildes, J.: Power system static-state estimation, Part I: exact model. IEEE Trans. Power Appar. Syst. PAS\u201389(1), 120\u2013125 (1970)","journal-title":"IEEE Trans. Power Appar. Syst."},{"issue":"4","key":"27_CR32","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1109\/TSMCA.2010.2048028","volume":"40","author":"CW Ten","year":"2010","unstructured":"Ten, C.W., Manimaran, G., Liu, C.C.: Cybersecurity for critical infrastructures: attack and defense modeling. IEEE Trans. Syst. Man Cybern.-Part A: Syst. Hum. 40(4), 853\u2013865 (2010)","journal-title":"IEEE Trans. Syst. Man Cybern.-Part A: Syst. Hum."},{"issue":"1","key":"27_CR33","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1109\/59.32475","volume":"4","author":"FF Wu","year":"1989","unstructured":"Wu, F.F., Liu, W.E.: Detection of topology errors by state estimation (power systems). IEEE Trans. Power Syst. 4(1), 176\u2013183 (1989). \n                      https:\/\/doi.org\/10.1109\/59.32475","journal-title":"IEEE Trans. Power Syst."},{"issue":"2","key":"27_CR34","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/0142-0615(90)90003-T","volume":"12","author":"FF Wu","year":"1990","unstructured":"Wu, F.F.: Power system state estimation: a survey. Int. J. Electr. Power Energy Syst. 12(2), 80\u201387 (1990)","journal-title":"Int. J. Electr. Power Energy Syst."},{"issue":"2","key":"27_CR35","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1109\/TSG.2011.2123925","volume":"2","author":"Y Yuan","year":"2011","unstructured":"Yuan, Y., Li, Z., Ren, K.: Modeling load redistribution attacks in power systems. IEEE Trans. Smart Grid 2(2), 382\u2013390 (2011)","journal-title":"IEEE Trans. Smart Grid"},{"issue":"4","key":"27_CR36","doi-asserted-by":"crossref","first-page":"1606","DOI":"10.1109\/TII.2017.2785963","volume":"14","author":"Z Zheng","year":"2018","unstructured":"Zheng, Z., Yang, Y., Niu, X., Dai, H.N., Zhou, Y.: Wide and deep convolutional neural networks for electricity-theft detection to secure smart grids. IEEE Trans. Industr. Inf. 14(4), 1606\u20131615 (2018)","journal-title":"IEEE Trans. Industr. Inf."},{"key":"27_CR37","unstructured":"Zimmerman, R.D., Murillo-Sanchez, C.E.: Matpower 4.1 user\u2019s manual. Power Systems Engineering Research Center, Cornell University, Ithaca, NY (2011)"}],"container-title":["Lecture Notes in Computer Science","Wireless Algorithms, Systems, and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-23597-0_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,27]],"date-time":"2019-06-27T05:11:29Z","timestamp":1561612289000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-23597-0_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030235963","9783030235970"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-23597-0_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"21 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WASA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Wireless Algorithms, Systems, and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Honolulu, HI","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":"24 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wasa2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wasa-conference.org\/WASA2019\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"143","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"43","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"11","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}