{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:58:12Z","timestamp":1742954292970,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031192074"},{"type":"electronic","value":"9783031192081"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-19208-1_47","type":"book-chapter","created":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T00:03:45Z","timestamp":1668643425000},"page":"567-578","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Authentication Mechanism Based on\u00a0Physical Layer Security in\u00a0Industrial Wireless Sensor Networks"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1794-1504","authenticated-orcid":false,"given":"Ruizhong","family":"Du","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4430-9267","authenticated-orcid":false,"given":"Lin","family":"Zhen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4983-911X","authenticated-orcid":false,"given":"Yan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,17]]},"reference":[{"issue":"12","key":"47_CR1","doi-asserted-by":"publisher","first-page":"6522","DOI":"10.1109\/TII.2019.2931436","volume":"15","author":"S-N Islam","year":"2019","unstructured":"Islam, S.-N., Baig, Z., Zeadally, S.: Physical layer security for the smart grid: vulnerabilities, threats, and countermeasures. IEEE Trans. Industr. Inform. 15(12), 6522\u20136530 (2019)","journal-title":"IEEE Trans. Industr. Inform."},{"key":"47_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2019.101677","volume":"89","author":"D Bhamare","year":"2020","unstructured":"Bhamare, D., Zolanvari, M., Erbad, A., et al.: Cybersecurity for industrial control systems: a survey. Comput. Secur. 89, 101677 (2020)","journal-title":"Comput. Secur."},{"key":"47_CR3","doi-asserted-by":"publisher","first-page":"2446","DOI":"10.1109\/TCOMM.2020.2967393","volume":"68","author":"P Zhang","year":"2020","unstructured":"Zhang, P., Shen, Y., Jiang, X., et al.: Physical layer authentication jointly utilizing channel and phase noise in MIMO systems. IEEE Trans. Commun. 68, 2446\u20132458 (2020)","journal-title":"IEEE Trans. Commun."},{"key":"47_CR4","doi-asserted-by":"publisher","first-page":"9304689","DOI":"10.1155\/2022\/9304689","volume":"2022","author":"N Yadav","year":"2022","unstructured":"Yadav, N., Pande, S., Khamparia, A., Gupta, D.: Intrusion detection system on IoT with 5G network using deep learning. Wirel. Commun. Mob. Comput. 2022, 9304689 (2022)","journal-title":"Wirel. Commun. Mob. Comput."},{"issue":"2","key":"47_CR5","doi-asserted-by":"publisher","first-page":"59","DOI":"10.36548\/jsws.2021.2.001","volume":"3","author":"A Bashar","year":"2021","unstructured":"Bashar, A., Smys, S.: Physical layer protection against sensor eavesdropper channels in wireless sensor networks. IRO J. Sustain. Wirel. Syst. 3(2), 59\u201367 (2021)","journal-title":"IRO J. Sustain. Wirel. Syst."},{"key":"47_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2019.107272","volume":"166","author":"N Gao","year":"2020","unstructured":"Gao, N., Ni, Q., Feng, D.: Physical layer authentication under intelligent spoofing in wireless sensor networks. Signal Process. 166, 107272 (2020)","journal-title":"Signal Process."},{"issue":"2","key":"47_CR7","doi-asserted-by":"publisher","first-page":"61","DOI":"10.3390\/fi14020061","volume":"14","author":"D Marabissi","year":"2022","unstructured":"Marabissi, D., Mucchi, L., Stomaci, A.: IoT nodes authentication and ID spoofing detection based on joint use of physical layer security and machine learning. Future Internet 14(2), 61 (2022)","journal-title":"Future Internet"},{"issue":"3","key":"47_CR8","doi-asserted-by":"publisher","first-page":"2077","DOI":"10.1109\/JIOT.2019.2960099","volume":"7","author":"R-F Liao","year":"2020","unstructured":"Liao, R.-F., Wen, H., Chen, S.-L., et al.: Multiuser physical layer authentication in internet of things with data augmentation. IEEE Internet Things J. 7(3), 2077\u20132088 (2020)","journal-title":"IEEE Internet Things J."},{"key":"47_CR9","doi-asserted-by":"publisher","first-page":"6481","DOI":"10.1109\/TII.2019.2925418","volume":"15","author":"F Pan","year":"2019","unstructured":"Pan, F., Pang, Z.-B., Wen, H., et al.: Threshold-free physical layer authentication based on machine learning for industrial wireless CPS. IEEE Trans. Industr. Inf. 15, 6481\u20136491 (2019)","journal-title":"IEEE Trans. Industr. Inf."},{"key":"47_CR10","doi-asserted-by":"publisher","first-page":"3693","DOI":"10.1109\/TII.2020.3028120","volume":"17","author":"F Pan","year":"2020","unstructured":"Pan, F., Wen, H., Gao, X., et al.: Clone detection based on BPNN and physical layer reputation for industrial wireless CPS. IEEE Trans. Industr. Inf. 17, 3693\u20133702 (2020)","journal-title":"IEEE Trans. Industr. Inf."},{"issue":"3","key":"47_CR11","doi-asserted-by":"publisher","first-page":"2041","DOI":"10.1109\/TII.2020.2963962","volume":"17","author":"S-L Chen","year":"2020","unstructured":"Chen, S.-L., Pang, Z.-B., Wen, H., et al.: Automated labeling and learning for physical layer authentication against clone node and Sybil attacks in industrial wireless edge networks. IEEE Trans. Industr. Inf. 17(3), 2041\u20132051 (2020)","journal-title":"IEEE Trans. Industr. Inf."},{"key":"47_CR12","doi-asserted-by":"publisher","first-page":"3967","DOI":"10.1109\/JIOT.2018.2871873","volume":"5","author":"F Xie","year":"2018","unstructured":"Xie, F., Wen, H., Li, Y., et al.: Optimized coherent integration-based radio frequency fingerprinting in internet of things. IEEE Internet Things J. 5, 3967\u20133977 (2018)","journal-title":"IEEE Internet Things J."},{"key":"47_CR13","doi-asserted-by":"publisher","first-page":"3990","DOI":"10.1109\/TVT.2021.3068368","volume":"70","author":"W Lee","year":"2021","unstructured":"Lee, W., Lee, K.: Deep learning-aided distributed transmit power control for underlay cognitive radio network. IEEE Trans. Veh. Technol. 70, 3990\u20133994 (2021)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"47_CR14","doi-asserted-by":"publisher","first-page":"766","DOI":"10.1109\/LGRS.2020.2989497","volume":"18","author":"B Wu","year":"2020","unstructured":"Wu, B., Qiu, W., Jia, J., et al.: Landslide susceptibility modeling using bagging-based positive-unlabeled learning. IEEE Geosci. Remote Sens. Lett. 18, 766\u2013770 (2020)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"47_CR15","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1007\/s10994-020-05877-5","volume":"109","author":"J Bekker","year":"2020","unstructured":"Bekker, J., Davis, J.: Learning from positive and unlabeled data: a survey. Mach. Learn. 109, 719\u2013760 (2020)","journal-title":"Mach. Learn."},{"issue":"4","key":"47_CR16","doi-asserted-by":"publisher","first-page":"2603","DOI":"10.1007\/s11063-020-10191-1","volume":"53","author":"J Zhao","year":"2020","unstructured":"Zhao, J., Liu, N.: A safe semi-supervised classification algorithm using multiple classifiers ensemble. Neural Process. Lett. 53(4), 2603\u20132616 (2020). https:\/\/doi.org\/10.1007\/s11063-020-10191-1","journal-title":"Neural Process. Lett."},{"key":"47_CR17","unstructured":"Candell, R., Remley, K.-A., Moayeri, N.: Radio frequency measurements for selected manufacturing and industrial environments. NIST, Tech. Rep. 1951 (2016). http:\/\/doi.org\/10.18434\/T44S3N"},{"key":"47_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2021.102559","volume":"113","author":"R-Z Du","year":"2022","unstructured":"Du, R.-Z., Zhen, L.: Multiuser physical layer security mechanism in the wireless communication system of the IIOT. Comput. Secur. 113, 102559 (2022)","journal-title":"Comput. Secur."}],"container-title":["Lecture Notes in Computer Science","Wireless Algorithms, Systems, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-19208-1_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T00:38:17Z","timestamp":1668645497000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-19208-1_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031192074","9783031192081"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-19208-1_47","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"17 November 2022","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":"Dalian","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wasa2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wasa-conference.org\/WASA2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-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":"265","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":"95","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":"62","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":"36% - 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":"4","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":"8","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)"}}]}}