{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,18]],"date-time":"2025-04-18T05:14:26Z","timestamp":1744953266446,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819756711"},{"type":"electronic","value":"9789819756728"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-5672-8_4","type":"book-chapter","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T19:02:53Z","timestamp":1722538973000},"page":"42-53","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["STRCA: A Lightweight and Accurate Root Cause Analysis System Based on 5G Signalling Trace"],"prefix":"10.1007","author":[{"given":"Jiang","family":"Fang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiadong","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiyan","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liru","family":"Geng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinlong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,1]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","first-page":"1592","DOI":"10.1109\/JSAC.2023.3274037","volume":"41","author":"W Chen","year":"2023","unstructured":"Chen, W., Lin, X., Lee, J., et al.: 5G-advanced toward 6G: past, present, and future. IEEE J. Sel. Areas Commun. 41, 1592\u20131619 (2023)","journal-title":"IEEE J. Sel. Areas Commun."},{"doi-asserted-by":"crossref","unstructured":"Wu, Y., Wang, X.: Research on network element management model based on cloud native technology. In: 2022 IEEE 2nd International Conference on Computer Communication and Artificial Intelligence (CCAI), pp. 17\u201320. IEEE (2022)","key":"4_CR2","DOI":"10.1109\/CCAI55564.2022.9807784"},{"key":"4_CR3","doi-asserted-by":"crossref","first-page":"2468","DOI":"10.1109\/JSAC.2017.2760418","volume":"35","author":"FZ Yousaf","year":"2017","unstructured":"Yousaf, F.Z., Bredel, M., et al.: NFV and SDN\u2014key technology enablers for 5G networks. IEEE J. Sel. Areas Commun. 35, 2468\u20132478 (2017)","journal-title":"IEEE J. Sel. Areas Commun."},{"unstructured":"Alleven, M.: KDDI outage affects nearly 40M in Japan|Fierce Wireless (2022). https:\/\/www.fiercewireless.com\/wireless\/kddi-outage-affects-nearly-40m-customers-japan","key":"4_CR4"},{"doi-asserted-by":"crossref","unstructured":"Vittal, S., Chilukuri, A., et al.: Performance study of large scale network slice deployment in a 5g core testbed. In: 2021 IEEE 4th 5G World Forum (5GWF), pp. 311\u2013316. IEEE (2021)","key":"4_CR5","DOI":"10.1109\/5GWF52925.2021.00061"},{"unstructured":"Sol\u00e9, M., Munt\u00e9s-Mulero, V., et al.: Survey on models and techniques for root-cause analysis. arXiv preprint arXiv:1701.08546 (2017)","key":"4_CR6"},{"doi-asserted-by":"crossref","unstructured":"Asghar, A., Farooq, et al.: Self-healing in emerging cellular networks: review, challenges, and research directions. IEEE Commun. Surv. Tutor. 20, 1682\u20131709 (2018)","key":"4_CR7","DOI":"10.1109\/COMST.2018.2825786"},{"doi-asserted-by":"crossref","unstructured":"Siffer, A., Fouque, P.-A., et al.: Anomaly detection in streams with extreme value theory. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1067\u20131075 (2017)","key":"4_CR8","DOI":"10.1145\/3097983.3098144"},{"key":"4_CR9","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1109\/MWC.2016.7498071","volume":"23","author":"A Gomez-Andrades","year":"2016","unstructured":"Gomez-Andrades, A., Barco, R., Serrano, I., Delgado, P., Caro-Oliver, P., Munoz, P.: Automatic root cause analysis based on traces for LTE self-organizing networks. IEEE Wirel. Commun. 23, 20\u201328 (2016)","journal-title":"IEEE Wirel. Commun."},{"key":"4_CR10","doi-asserted-by":"crossref","first-page":"3709","DOI":"10.1109\/TNET.2017.2761758","volume":"25","author":"F Ahmed","year":"2017","unstructured":"Ahmed, F., Erman, J., Ge, Z., Liu, A.X., Wang, J., Yan, H.: Detecting and localizing end-to-end performance degradation for cellular data services based on tcp loss ratio and round trip time. IEEE\/ACM Trans. Netw. 25, 3709\u20133722 (2017)","journal-title":"IEEE\/ACM Trans. Netw."},{"key":"4_CR11","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1109\/MCOM.2016.7470940","volume":"54","author":"P Rost","year":"2016","unstructured":"Rost, P., et al.: Mobile network architecture evolution toward 5G. IEEE Commun. Mag. 54, 84\u201391 (2016)","journal-title":"IEEE Commun. Mag."},{"doi-asserted-by":"crossref","unstructured":"Mfula, H., Nurminen, J.K.: Adaptive root cause analysis for self-healing in 5G networks. In: 2017 International Conference on High Performance Computing & Simulation (HPCS), pp. 136\u2013143. IEEE (2017)","key":"4_CR12","DOI":"10.1109\/HPCS.2017.31"},{"unstructured":"Wei, Q., Song, et al.: Fault warning based on feature fusion with multi-dimension of network element in 5G core network. Commun. Technol. 55, 394\u2013403 (2022)","key":"4_CR13"},{"unstructured":"Zhang, W., et al.: PBNAD: a 5G core network network function anomaly detection model based on multidimensional service performance time series. J. Cyber Secur. (2022)","key":"4_CR14"},{"doi-asserted-by":"crossref","unstructured":"Xie, M., Zhang, Q., Gonzalez, et al.: Service assurance in 5G networks: a study of joint monitoring and analytics. In: 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1\u20137. IEEE (2019)","key":"4_CR15","DOI":"10.1109\/PIMRC.2019.8904232"},{"doi-asserted-by":"crossref","unstructured":"Li, Z., Chen, J., Jiao, R., et al.: Practical root cause localization for microservice systems via trace analysis. In: 2021 IEEE\/ACM 29th International Symposium on Quality of Service (IWQOS), pp. 1\u201310. IEEE (2021)","key":"4_CR16","DOI":"10.1109\/IWQOS52092.2021.9521340"},{"doi-asserted-by":"crossref","unstructured":"Silva, R.S., Meixner, et al.: REPEL: a strategic approach for defending 5G control plane from DDoS signalling attacks. IEEE Trans. Netw. Serv. Manag. 18, 3231\u20133243 (2020)","key":"4_CR17","DOI":"10.1109\/TNSM.2020.3035342"},{"doi-asserted-by":"crossref","unstructured":"Andres-Maldonado, P., Ameigeiras, P., Prados-Garzon, J., Ramos-Munoz, J.J., Lopez-Soler, J.M.: Reduced M2M signaling communications in 3GPP LTE and future 5G cellular networks. In: 2016 Wireless Days (WD), pp. 1\u20133. IEEE (2016)","key":"4_CR18","DOI":"10.1109\/WD.2016.7461499"},{"doi-asserted-by":"crossref","unstructured":"Sadeghi, M., Barati, M.: Performance analysis of poisson and exponential distribution queuing model in local area network. In: 2012 International Conference on Computer and Communication Engineering (ICCCE), pp. 499\u2013503. IEEE (2012)","key":"4_CR19","DOI":"10.1109\/ICCCE.2012.6271237"},{"key":"4_CR20","doi-asserted-by":"crossref","first-page":"1715","DOI":"10.3390\/app11041715","volume":"11","author":"J-R Chang","year":"2021","unstructured":"Chang, J.-R., Chen, Y.-S., et al.: Advanced data mining of SSD quality based on FP-growth data analysis. Appl. Sci. 11, 1715 (2021)","journal-title":"Appl. Sci."},{"doi-asserted-by":"crossref","unstructured":"Li, Z., et al.: Actionable and interpretable fault localization for recurring failures in online service systems. In: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 996\u20131008 (2022)","key":"4_CR21","DOI":"10.1145\/3540250.3549092"},{"doi-asserted-by":"crossref","unstructured":"Sun, J., Lin, T., Liu, et al.: iSwift: fast and accurate impact identification for large-scale cdns. In: 2022 IEEE\/ACM 30th International Symposium on Quality of Service (IWQoS), pp. 1\u201310. IEEE (2022)","key":"4_CR22","DOI":"10.1109\/IWQoS54832.2022.9812890"},{"key":"4_CR23","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.1109\/TSE.2019.2911283","volume":"47","author":"M Zhang","year":"2019","unstructured":"Zhang, M., et al.: An empirical study of boosting spectrum-based fault localization via pagerank. IEEE Trans. Softw. Eng. 47, 1089\u20131113 (2019)","journal-title":"IEEE Trans. Softw. Eng."}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5672-8_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T14:07:37Z","timestamp":1726668457000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5672-8_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819756711","9789819756728"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5672-8_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2024\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}