{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T13:25:53Z","timestamp":1767705953408,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031355097"},{"type":"electronic","value":"9783031355103"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-35510-3_14","type":"book-chapter","created":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T12:01:48Z","timestamp":1685534508000},"page":"132-142","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["LSTM-Based Congestion Detection in\u00a0Named Data Networks"],"prefix":"10.1007","author":[{"given":"Salwa","family":"Abdelwahed","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haifa","family":"Touati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,1]]},"reference":[{"key":"14_CR1","first-page":"1","volume":"7927","author":"D Kutscher","year":"2016","unstructured":"Kutscher, D., Eum, S., Pentikousis, K., Psaras, I., Corujo, D., Saucez, D., Schmidt, T., Waehlisch, M.: Information-Centric Networking (ICN) research challenges. RFC 7927, 1\u201338 (2016)","journal-title":"RFC"},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Touati, H., Mejri, S., Malouch, N., et al.: Fair hop-by-hop interest rate control to mitigate congestion in named data networks. Cluster Comput., 2213\u20132230 (2021)","DOI":"10.1007\/s10586-021-03258-8"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Mejri, S., Touati, H., Kamoun F.: Are NDN congestion control solutions compatible with big data traffic. In: International Conference on High Performance Computing & Simulation, (HPCS), pp. 978-984(2018)","DOI":"10.1109\/HPCS.2018.00154"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Klaus,S., Cheng, Y.,Beichuan, Z.,Lixia, Z. : A practical congestion control scheme for named data networking. In: 3rd ACM Conference on Information-Centric Networking, pp. 21\u201330 (2016)","DOI":"10.1145\/2984356.2984369"},{"key":"14_CR5","doi-asserted-by":"crossref","unstructured":"Mejri, S., Touati, H., Kamoun, F.: Preventing unnecessary interests retransmission in named data networking. In: IEEE International Symposium on Networks, Computers and Communications (ISNCC), pp. 1\u20136 (2016)","DOI":"10.1109\/ISNCC.2016.7746058"},{"key":"14_CR6","doi-asserted-by":"crossref","unstructured":"Mejri, S., Touati, H., Kamoun F.: Hop-by-hop interest rate notification and adjustment in named data networks. In: IEEE Wireless Communications and Networking Conference (WCNC), pp. 1\u20136 (2018)","DOI":"10.1109\/WCNC.2018.8377374"},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Mejri,S., Touati, H., Malouch, N., Kamoun, F.: Hop-by-hop congestion control for named data networks. In: 2017 IEEE\/ACS 14th International Conference on Computer Systems and Applications (AICCSA), pp. 114\u2013119 (2017)","DOI":"10.1109\/AICCSA.2017.36"},{"key":"14_CR8","doi-asserted-by":"crossref","unstructured":"Qin, J., Xing, Y., Wei, W., Xue K.: Edge computing aided congestion control using neuro-dynamic programming in NDN. In: IEEE Global Communications Conference (GLOBECOM), pp. 1\u20136 (2020)","DOI":"10.1109\/GLOBECOM42002.2020.9322365"},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Sichen ,S., Lixia ,Z. : Exploring rate-based congestion control in NDN. In: 8th ACM Conference on Information-Centric Networking, pp. 141\u2013143 (2021)","DOI":"10.1145\/3460417.3483379"},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"Yi, H., Constantin, S., Lan, W., Alex, A., Lixia, Z.: BBR-inspired congestion control for data fetching over NDN. In: MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM), pp. 426\u2013431 (2021)","DOI":"10.1109\/MILCOM52596.2021.9652898"},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Sanguk, R., Inwhee ,J., WonTae, K.: Intelligent forwarding strategy for congestion control using Q-Learning and LSTM in named data networking. Mobile Information Systems, pp. 1\u201310 (2021)","DOI":"10.1155\/2021\/5595260"},{"key":"14_CR12","doi-asserted-by":"publisher","first-page":"4675","DOI":"10.1007\/s00521-018-3408-2","volume":"31","author":"L Tingting","year":"2019","unstructured":"Tingting, L., Mingchuan, Z., Junlong, Z., Ruijuan, Z., Ruoshui, L., Qingtao, W.: ACCP: adaptive congestion control protocol in named data networking based on deep learning. Neural Comput. Appl. 31, 4675\u20134683 (2019)","journal-title":"Neural Comput. Appl."},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Yong, Y., Xiaosheng, S., Changhua, H., Jianxun, Z.: A review of recurrent neural networks : LSTM cells and network architectures. neural computation, pp. 1235\u20131270 (2019)","DOI":"10.1162\/neco_a_01199"},{"key":"14_CR14","unstructured":"Vincent, F., Peter, H., Riashat, I., Marc, G., Bellemare, Joelle, P.: An Introduction to Deep Reinforcement Learning. Foundations and Trends in Machine Learning (2018)"},{"key":"14_CR15","doi-asserted-by":"crossref","unstructured":"Benjamin, L., Timo, M., Hannes, V., Nasser, J., Michael, W.: A survey on long short-term memory networks for time series prediction. Procedia CIRP, 650\u2013655 (2021)","DOI":"10.1016\/j.procir.2021.03.088"},{"key":"14_CR16","doi-asserted-by":"crossref","unstructured":"Sangtae, H., Injong , R., Lisong, X.: CUBIC: A New TCP Friendly High Speed TCP Variant. Operating Systems Review, pp. 64\u201374 (2008)","DOI":"10.1145\/1400097.1400105"},{"key":"14_CR17","unstructured":"Jiayu, Y., et al.: IEACC: an intelligent edge-aided congestion control scheme for named data networking with deep reinforcement learning. IEEE Trans. Network Serv. Manage. (2022)"},{"key":"14_CR18","unstructured":"Mastorakis, S., Afanasyev, A., Moiseenko, I., Zhang, L.: ndnSIM 2.0: a new version of the NDN simulator for NS-3. NDN Technical report NDN-0028 (2015)"},{"key":"14_CR19","doi-asserted-by":"crossref","unstructured":"Wei, X., Chuan, X., Hongling, L., Xiaobo, L.: A hybrid LSTM-based ensemble learning approach for China coastal bulk coal freight index prediction. J. Adv. Transp., 1\u201323 (2021)","DOI":"10.1155\/2021\/5573650"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Systems Design and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35510-3_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T15:30:17Z","timestamp":1729524617000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35510-3_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031355097","9783031355103"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35510-3_14","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"1 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems Design and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isda2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/isda22\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}