{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T21:32:26Z","timestamp":1768685546501,"version":"3.49.0"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031067907","type":"print"},{"value":"9783031067914","type":"electronic"}],"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\/978-3-031-06791-4_34","type":"book-chapter","created":{"date-parts":[[2022,7,3]],"date-time":"2022-07-03T23:03:27Z","timestamp":1656889407000},"page":"427-440","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Trust-Based Malicious Detection Scheme for Underwater Acoustic Sensor Networks"],"prefix":"10.1007","author":[{"given":"Kun","family":"Liang","sequence":"first","affiliation":[]},{"given":"Shijie","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Xiangdang","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Qiuling","family":"Yang","sequence":"additional","affiliation":[]},{"given":"N.","family":"Xiong Neal","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,4]]},"reference":[{"issue":"11","key":"34_CR1","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/MCOM.2015.7321977","volume":"53","author":"A Darehshoorzadeh","year":"2015","unstructured":"Darehshoorzadeh, A., Boukerche, A.: Underwater sensor networks: a new challenge for opportunistic routing protocols. IEEE Commun. Mag. 53(11), 98\u2013107 (2015)","journal-title":"IEEE Commun. Mag."},{"key":"34_CR2","doi-asserted-by":"crossref","unstructured":"Pompili, D., Melodia, T.: Three-dimensional routing in underwater acoustic sensor networks. In: Proceedings of the 2nd ACM International Workshop on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, pp. 214\u2013221 (2005)","DOI":"10.1145\/1089803.1089988"},{"issue":"SI","key":"34_CR3","doi-asserted-by":"publisher","first-page":"205","DOI":"10.2112\/SI90-025.1","volume":"90","author":"S Koo","year":"2019","unstructured":"Koo, S., Song, Y., Lim, S.H., Oh, M.H., Seo, S.N., Baek, S.: Development of a remote supervisory control and data acquisition system for offshore waste final disposal facility. J. Coast. Res. 90(SI), 205\u2013213 (2019). https:\/\/doi.org\/10.2112\/SI90-025.1","journal-title":"J. Coast. Res."},{"issue":"5","key":"34_CR4","doi-asserted-by":"publisher","first-page":"1010","DOI":"10.1109\/TMC.2019.2907854","volume":"19","author":"G Han","year":"2019","unstructured":"Han, G., Long, X., Zhu, C., Guizani, M., Zhang, W.: A high-availability data collection scheme based on multi-AUVs for underwater sensor networks. IEEE Trans. Mob. Comput. 19(5), 1010\u20131022 (2019)","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"11","key":"34_CR5","doi-asserted-by":"publisher","first-page":"11239","DOI":"10.1109\/TVT.2019.2939179","volume":"68","author":"G Han","year":"2019","unstructured":"Han, G., He, Y., Jiang, J., Wang, N., Guizani, M., Ansere, J.A.: A synergetic trust model based on SVM in underwater acoustic sensor networks. IEEE Trans. Veh. Technol. 68(11), 11239\u201311247 (2019)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"3","key":"34_CR6","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1109\/MWC.001.1900456","volume":"27","author":"S Su","year":"2020","unstructured":"Su, S., Tian, Z., Liang, S., Li, S., Du, S., Guizani, N.: A reputation management scheme for efficient malicious vehicle identification over 5G networks. IEEE Wirel. Commun. 27(3), 46\u201352 (2020)","journal-title":"IEEE Wirel. Commun."},{"issue":"3","key":"34_CR7","doi-asserted-by":"publisher","first-page":"865","DOI":"10.32604\/csse.2022.018801","volume":"40","author":"V Ponnusamy","year":"2020","unstructured":"Ponnusamy, V., Yichiet, A., Jhanjhi, N.Z., Humayun, M., Almufareh, M.F.: IoT wireless intrusion detection and network traffic analysis. Comput. Syst. Sci. Eng. 40(3), 865\u2013879 (2020)","journal-title":"Comput. Syst. Sci. Eng."},{"issue":"15","key":"34_CR8","doi-asserted-by":"publisher","first-page":"1902","DOI":"10.1016\/j.comcom.2012.03.010","volume":"35","author":"K Lin","year":"2012","unstructured":"Lin, K., Ge, X., Wang, X., Zhu, C., Ryu, H.G.: Research on secure data collection in wireless multimedia sensor networks. Comput. Commun. 35(15), 1902\u20131909 (2012)","journal-title":"Comput. Commun."},{"issue":"3","key":"34_CR9","doi-asserted-by":"publisher","first-page":"3079","DOI":"10.32604\/cmc.2021.018993","volume":"69","author":"NR Paul","year":"2021","unstructured":"Paul, N.R., Raj, D.P.: Enhanced trust based access control for multi-cloud environment. Comput. Mater. Continua 69(3), 3079\u20133093 (2021)","journal-title":"Comput. Mater. Continua"},{"key":"34_CR10","doi-asserted-by":"crossref","unstructured":"Ganeriwal, S., Balzan, L.K., Srivastava, M.B.: Reputation-based framework for high integrity sensor networks. In: Proceedings of the 2nd ACM Workshop on Security of Ad Hoc and Sensor Networks (SASN), pp. 66\u201377. ACM Press, New York (2004)","DOI":"10.1145\/1029102.1029115"},{"key":"34_CR11","doi-asserted-by":"crossref","unstructured":"Josang, A., Hayward, R., Pope, S.: Optimal trust network analysis with subjective logic. In: Proceedings of the 2008 Second International Conference on Emerging Security Information, Systems and Technologies, IEEE Computer Society, pp.179\u2013184 (2008)","DOI":"10.1109\/SECURWARE.2008.64"},{"issue":"7","key":"34_CR12","doi-asserted-by":"publisher","first-page":"1409","DOI":"10.1109\/TMC.2013.22","volume":"13","author":"Y Ren","year":"2013","unstructured":"Ren, Y., Zadorozhny, V.I., Oleshchuk, V.A., Li, F.Y.: A novel approach to trust management in unattended wireless sensor networks. IEEE Trans. Mob. Comput. 13(7), 1409\u20131423 (2013)","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"2","key":"34_CR13","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.3390\/s110201345","volume":"11","author":"R Feng","year":"2011","unstructured":"Feng, R., Xu, X., Zhou, X., Wan, J.: A trust evaluation algorithm for wireless sensor networks based on node behaviors and ds evidence theory. Sensors 11(2), 1345\u20131360 (2011)","journal-title":"Sensors"},{"key":"34_CR14","doi-asserted-by":"crossref","unstructured":"Ma, B.: Cross-layer trust model and algorithm of node selection in wireless sensor networks. In: Proceedings of the Communication Software and Networks (ICCSN\u201909), pp. 812\u2013815 (2009)","DOI":"10.1109\/ICCSN.2009.67"},{"issue":"1","key":"34_CR15","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1109\/TII.2015.2510226","volume":"13","author":"J Jiang","year":"2015","unstructured":"Jiang, J., Han, G., Shu, L., Chan, S., Wang, K.: A trust model based on cloud theory in underwater acoustic sensor networks. IEEE Trans. Industr. Inf. 13(1), 342\u2013350 (2015)","journal-title":"IEEE Trans. Industr. Inf."},{"issue":"1","key":"34_CR16","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1109\/TSUSC.2018.2839623","volume":"4","author":"U Jayasinghe","year":"2018","unstructured":"Jayasinghe, U., Lee, G.M., Um, T.W., Shi, Q.: Machine learning based trust computational model for IoT services. IEEE Trans. Sustain. Comput. 4(1), 39\u2013352 (2018)","journal-title":"IEEE Trans. Sustain. Comput."},{"issue":"8","key":"34_CR17","doi-asserted-by":"publisher","first-page":"9031","DOI":"10.1109\/TVT.2020.2999566","volume":"69","author":"J Jiang","year":"2020","unstructured":"Jiang, J., Zhu, X., Han, G., Guizani, M., Shu, L.: A dynamic trust evaluation and update mechanism based on C4. 5 decision tree in underwater wireless sensor networks. IEEE Trans. Vehicul. Technol. 69(8), 9031\u20139040 (2020)","journal-title":"IEEE Trans. Vehicul. Technol."},{"issue":"3","key":"34_CR18","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1109\/TMC.2020.3020313","volume":"21","author":"Y He","year":"2020","unstructured":"He, Y., Han, G., Jiang, J., Wang, H., Martinez-Garcia, M.: A trust update mechanism based on reinforcement learning in underwater acoustic sensor networks. IEEE Trans. Mob. Comput. 21(3), 811\u2013821 (2020)","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"2","key":"34_CR19","doi-asserted-by":"publisher","first-page":"1707","DOI":"10.1109\/TIE.2020.2970691","volume":"68","author":"Y Song","year":"2021","unstructured":"Song, Y.: Underwater acoustic sensor networks with cost efficiency for internet of underwater things. IEEE Trans. Indust. Electron. 68(2), 1707\u20131716 (2021)","journal-title":"IEEE Trans. Indust. Electron."},{"issue":"12","key":"34_CR20","doi-asserted-by":"publisher","first-page":"2447","DOI":"10.1109\/TMC.2015.2402120","volume":"14","author":"G Han","year":"2015","unstructured":"Han, G., Jiang, J., Shu, L., Guizani, M.: An attack-resistant trust model based on multidimensional trust metrics in underwater acoustic sensor network. IEEE Trans. Mob. Comput. 14(12), 2447\u20132459 (2015)","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"2","key":"34_CR21","doi-asserted-by":"publisher","first-page":"1647","DOI":"10.32604\/cmc.2020.013210","volume":"66","author":"E Yang","year":"2021","unstructured":"Yang, E., Joshi, G.P., Seo, C.: Improving the detection rate of rarely appearing intrusions in network-based intrusion detection systems. Comput. Mater. Continua 66(2), 1647\u20131663 (2021)","journal-title":"Comput. Mater. Continua"},{"issue":"3","key":"34_CR22","doi-asserted-by":"publisher","first-page":"3513","DOI":"10.32604\/cmc.2021.018930","volume":"69","author":"RP Nayak","year":"2021","unstructured":"Nayak, R.P., Sethi, S., Bhoi, S.K., Sahoo, K.S., Jhanjhi, N., et al.: Tbddosa-md: trust-based ddos misbehave detection approach in software-defined vehicular network (sdvn). Comput. Mater. Continua 69(3), 3513\u20133529 (2021)","journal-title":"Comput. Mater. Continua"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-06791-4_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T12:35:57Z","timestamp":1657715757000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-06791-4_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031067907","9783031067914"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-06791-4_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"4 July 2022","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":"Qinghai","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":"15 July 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"incodldos2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.icaisconf.com\/","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1124","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":"115","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":"53","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":"10% - 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":"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)"}}]}}