{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T17:09:19Z","timestamp":1768410559909,"version":"3.49.0"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2020,7,11]],"date-time":"2020-07-11T00:00:00Z","timestamp":1594425600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,7,11]],"date-time":"2020-07-11T00:00:00Z","timestamp":1594425600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012476","name":"Fundamental Research Funds for Central Universities of the Central South University","doi-asserted-by":"publisher","award":["30918012204"],"award-info":[{"award-number":["30918012204"]}],"id":[{"id":"10.13039\/501100012476","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Military Common Information System Equipment Preresearch Special Technology Project","award":["315075701"],"award-info":[{"award-number":["315075701"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Netw"],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1007\/s11276-020-02420-1","type":"journal-article","created":{"date-parts":[[2020,7,11]],"date-time":"2020-07-11T05:02:46Z","timestamp":1594443766000},"page":"3571-3585","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Traffic self-similarity analysis and application of industrial internet"],"prefix":"10.1007","volume":"30","author":[{"given":"Qianmu","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2686-4213","authenticated-orcid":false,"given":"Shuo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaozong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaqiu","family":"Long","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,11]]},"reference":[{"issue":"1","key":"2420_CR1","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1186\/s13174-018-0087-2","volume":"9","author":"R Boutaba","year":"2018","unstructured":"Boutaba, R., Salahuddin, M. A., Limam, N., et al. (2018). A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities. Journal of Internet Services and Applications, 9(1), 16.","journal-title":"Journal of Internet Services and Applications"},{"key":"2420_CR2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2959258","author":"X Xiaolong","year":"2019","unstructured":"Xiaolong, X., Mo, R., Dai, F., Lin, W., Wan, S., & Dou, W. (2019). Dynamic resource provisioning with fault tolerance for data-intensive meteorological workflows in cloud. IEEE Transactions on Industrial Informatics. https:\/\/doi.org\/10.1109\/TII.2019.2959258.","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"2420_CR3","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1016\/j.future.2018.12.055","volume":"95","author":"X Xu","year":"2019","unstructured":"Xu, X., Liu, Q., Luo, Y., Peng, K., Zhang, X., Meng, S., et al. (2019). A computation offloading method over big data for IoT-enabled cloud-edge computing. Future Generation Computer Systems, 95, 522\u2013533.","journal-title":"Future Generation Computer Systems"},{"key":"2420_CR4","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.asoc.2014.05.028","volume":"23","author":"CN Babu","year":"2014","unstructured":"Babu, C. N., & Reddy, B. E. (2014). A moving-average filter based hybrid ARIMA-ANN model for forecasting time series data. Applied Soft Computing, 23, 27\u201338.","journal-title":"Applied Soft Computing"},{"issue":"2","key":"2420_CR5","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1111\/j.1468-0394.2010.00568.x","volume":"29","author":"P Cortez","year":"2012","unstructured":"Cortez, P., Rio, M., Rocha, M., et al. (2012). Multi-scale Internet traffic forecasting using neural networks and time series methods. Expert Systems, 29(2), 143\u2013155.","journal-title":"Expert Systems"},{"key":"2420_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2019.10.012","author":"S Wan","year":"2019","unstructured":"Wan, S., Gu, Z., & Ni, Q. (2019). Cognitive computing and wireless communications on the edge for healthcare service robots. Computer Communications. https:\/\/doi.org\/10.1016\/j.comcom.2019.10.012.","journal-title":"Computer Communications"},{"key":"2420_CR7","doi-asserted-by":"crossref","unstructured":"Gong, W., Qi, L., & Xu, Y. (2018). Privacy-aware multidimensional mobile service quality prediction and recommendation in distributed fog environment. Wireless Communications and Mobile Computing 2018, 8, Article ID 3075849.","DOI":"10.1155\/2018\/3075849"},{"key":"2420_CR8","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.sysarc.2018.07.006","volume":"91","author":"M Zhang","year":"2018","unstructured":"Zhang, M., Zheng, N., Li, H., & Zonghua, G. (2018). A decomposition-based approach to optimization of TTP-based distributed embedded systems. Journal of Systems Architecture, 91, 53\u201361.","journal-title":"Journal of Systems Architecture"},{"issue":"2","key":"2420_CR9","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.comnet.2008.09.018","volume":"53","author":"P Bermolen","year":"2009","unstructured":"Bermolen, P., & Rossi, D. (2009). Support vector regression for link load prediction. Computer Networks, 53(2), 191\u2013201.","journal-title":"Computer Networks"},{"key":"2420_CR10","doi-asserted-by":"crossref","unstructured":"Nie, L., Jiang, D., & Yu, S., et al. (2017). Network traffic prediction based on deep belief network in wireless mesh backbone networks. In 2017 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, pp 1\u20135.","DOI":"10.1109\/WCNC.2017.7925498"},{"key":"2420_CR11","doi-asserted-by":"crossref","unstructured":"Poupart P, Chen Z, & Jaini P, et al. (2016). Online flow size prediction for improved network routing. In 2016 IEEE 24th International Conference on Network Protocols (ICNP). IEEE, pp. 1\u20136.","DOI":"10.1109\/ICNP.2016.7785324"},{"issue":"7024","key":"2420_CR12","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1038\/nature03248","volume":"433","author":"C Song","year":"2005","unstructured":"Song, C., Havlin, S., & Makse, H. A. (2005). Self-similarity of complex networks. Nature, 433(7024), 392.","journal-title":"Nature"},{"key":"2420_CR13","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.sysarc.2017.03.007","volume":"83","author":"Q Zhao","year":"2018","unstructured":"Zhao, Q., Zonghua, G., Zeng, H., & Zheng, N. (2018). Schedulability analysis and stack size minimization with preemption thresholds and mixed-criticality scheduling. Journal of Systems Architecture, 83, 57\u201374.","journal-title":"Journal of Systems Architecture"},{"key":"2420_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-019-00684-y","author":"L Qi","year":"2019","unstructured":"Qi, L., Chen, Y., Yuan, Y., Shucun, F., Zhang, X., & Xiaolong, X. (2019). A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems. World Wide Web Journal. https:\/\/doi.org\/10.1007\/s11280-019-00684-y.","journal-title":"World Wide Web Journal"},{"key":"2420_CR15","doi-asserted-by":"publisher","DOI":"10.1002\/047120644X","volume-title":"Self-similar network traffic and performance evaluation","author":"K Park","year":"2000","unstructured":"Park, K., & Willinger, W. (2000). Self-similar network traffic and performance evaluation. New York: Wiley."},{"key":"2420_CR16","doi-asserted-by":"publisher","first-page":"46926","DOI":"10.1109\/ACCESS.2018.2866641","volume":"6","author":"L Qi","year":"2018","unstructured":"Qi, L., Dou, W., Wang, W., Li, G., Hairong, Yu., & Wan, S. (2018). Dynamic mobile crowdsourcing selection for electricity load forecasting. IEEE ACCESS, 6, 46926\u201346937.","journal-title":"IEEE ACCESS"},{"key":"2420_CR17","doi-asserted-by":"crossref","unstructured":"Wan, S., Qi, L., Xu, X., Tong, C., & Gu, Z. (2020). Deep learning models for real-time human activity recognition with smartphones. Mobile Networks and Applications, 25, 743\u2013755.","DOI":"10.1007\/s11036-019-01445-x"},{"key":"2420_CR18","doi-asserted-by":"publisher","DOI":"10.1002\/CPE.5681","author":"X Chi","year":"2020","unstructured":"Chi, X., Yan, C., Wang, H., Rafique, W., & Qi, L. (2020). Amplified LSH-based recommender systems with privacy protection. Concurrency and Computation: Practice and Experience. https:\/\/doi.org\/10.1002\/CPE.5681.","journal-title":"Concurrency and Computation: Practice and Experience"},{"key":"2420_CR19","doi-asserted-by":"crossref","unstructured":"Xu, Y., Qi, L., Dou, W., & Yu, J. (2017). Privacy-preserving and scalable service recommendation based on simhash in a distributed cloud environment. Complexity, 2017, 9, Article ID 3437854.","DOI":"10.1155\/2017\/3437854"},{"key":"2420_CR20","doi-asserted-by":"publisher","first-page":"3844","DOI":"10.1016\/j.physa.2010.05.025","volume":"389","author":"J Barunik","year":"2010","unstructured":"Barunik, J., & Kristoufek, L. (2010). On Hurst exponent estimation under heavy-tailed distributions. Physica A: Statistical Mechanics and its Applications, 389, 3844\u20133855.","journal-title":"Physica A: Statistical Mechanics and its Applications"},{"key":"2420_CR21","doi-asserted-by":"publisher","first-page":"6452","DOI":"10.1016\/j.physa.2008.08.014","volume":"387","author":"J Alvarez-Ramirez","year":"2008","unstructured":"Alvarez-Ramirez, J., Echeverria, J. C., & Rodriguez, E. (2008). Performance of a high-dimensional R\/S method for Hurst exponent estimation. Physica A: Statistical Mechanics and its Applications, 387, 6452\u20136462.","journal-title":"Physica A: Statistical Mechanics and its Applications"},{"key":"2420_CR22","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.neunet.2015.08.010","volume":"71","author":"FM Bianchi","year":"2015","unstructured":"Bianchi, F. M., et al. (2015). Prediction of telephone calls load using echo state network with exogenous variables. Neural Networks, 71, 204\u2013213.","journal-title":"Neural Networks"},{"key":"2420_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.sysarc.2018.01.004","volume":"84","author":"Z Gu","year":"2018","unstructured":"Gu, Z., & Qiu, M. (2018). Introduction to the special issue on \u201cembedded artificial intelligence and smart computing. Journal of Systems Architecture, 84, 1.","journal-title":"Journal of Systems Architecture"},{"issue":"1","key":"2420_CR24","doi-asserted-by":"publisher","first-page":"29004","DOI":"10.1109\/ACCESS.2020.2972032","volume":"8","author":"Q Li","year":"2020","unstructured":"Li, Q., Tian, Y., Wu, Q., Cao, Q., Shen, H., & Long, H. (2020). A cloud-fog-edge closed-loop feedback security risk prediction method. IEEE Access, 8(1), 29004\u201329020.","journal-title":"IEEE Access"},{"key":"2420_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.11.021","author":"L Qi","year":"2019","unstructured":"Qi, L., Zhang, X., Li, S., Wan, S., Wen, Y., & Gong, W. (2019). Spatial-temporal data-driven service recommendation with privacy-preservation. Information Sciences. https:\/\/doi.org\/10.1016\/j.ins.2019.11.021.","journal-title":"Information Sciences"},{"key":"2420_CR26","doi-asserted-by":"publisher","first-page":"141438","DOI":"10.1109\/ACCESS.2019.2943493","volume":"7","author":"J Hou","year":"2019","unstructured":"Hou, J., Li, Q., Tan, R., Meng, S., Zhang, H., & Zhang, S. (2019). An intrusion tracking watermarking scheme. IEEE Access, 7, 141438\u2013141455.","journal-title":"IEEE Access"},{"key":"2420_CR27","doi-asserted-by":"publisher","first-page":"107036","DOI":"10.1016\/j.comnet.2019.107036","volume":"168","author":"S Wan","year":"2019","unstructured":"Wan, S., & Goudos, S. (2019). Faster R-CNN for multi-class fruit detection using a robotic vision system. Computer Networks, 168, 107036.","journal-title":"Computer Networks"},{"key":"2420_CR28","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1177\/0361198119837180","volume":"2673","author":"Q Li","year":"2019","unstructured":"Li, Q., Wang, Y., Ziyuan, P., Wang, S., & Zhang, W. (2019). A time series association state analysis method in smart internet of electric vehicle charging network attack. Transportation Research Record, 2673, 217\u2013228.","journal-title":"Transportation Research Record"},{"key":"2420_CR29","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.jnca.2018.09.006","volume":"124","author":"X Xiaolong","year":"2018","unstructured":"Xiaolong, X., Shucun, F., Qi, L., Zhang, X., Liu, Q., He, Q., et al. (2018). An IoT-Oriented data placement method with privacy preservation in cloud environment. Journal of Network and Computer Applications, 124, 148\u2013157.","journal-title":"Journal of Network and Computer Applications"},{"key":"2420_CR30","doi-asserted-by":"publisher","first-page":"24788","DOI":"10.1109\/ACCESS.2019.2896129","volume":"7","author":"Q Li","year":"2019","unstructured":"Li, Q., Meng, S., Zhang, S., Wu, M., Zhang, J., Ahvanooey, M. T., et al. (2019). Safety risk monitoring of cyber-physical power systems based on ensemble learning algorithm. IEEE Access, 7, 24788\u201324805.","journal-title":"IEEE Access"},{"key":"2420_CR31","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2936869","author":"X Xiaolong","year":"2019","unstructured":"Xiaolong, X., Zhang, X., Gao, H., Xue, Y., Qi, L., & Dou, W. (2019). BeCome: blockchain-enabled computation offloading for IoT in mobile edge computing. IEEE Transactions on Industrial Informatics. https:\/\/doi.org\/10.1109\/TII.2019.2936869.","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"2420_CR32","doi-asserted-by":"publisher","first-page":"34910","DOI":"10.1109\/ACCESS.2019.2904047","volume":"7","author":"Q Li","year":"2019","unstructured":"Li, Q., Meng, S., Wang, S., Zhang, J., & Hou, J. (2019). CAD: command-level anomaly detection for vehicle-road collaborative charging network. IEEE Access, 7, 34910\u201334924.","journal-title":"IEEE Access"},{"key":"2420_CR33","doi-asserted-by":"publisher","first-page":"12058","DOI":"10.1109\/ACCESS.2019.2891505","volume":"7","author":"Q Li","year":"2019","unstructured":"Li, Q., Meng, S., Zhang, S., Hou, J., & Qi, L. (2019). Complex attack linkage decision-making in edge computing networks. IEEE Access, 7, 12058\u201312072.","journal-title":"IEEE Access"},{"key":"2420_CR34","doi-asserted-by":"publisher","first-page":"130707","DOI":"10.1109\/ACCESS.2019.2939891","volume":"7","author":"J Hou","year":"2019","unstructured":"Hou, J., Li, Q., Meng, S., Ni, Z., Chen, Y., & Liu, Y. (2019). DPRF: A Differential privacy protection random forest. IEEE Access, 7, 130707\u2013130720.","journal-title":"IEEE Access"},{"key":"2420_CR35","first-page":"1","volume":"7","author":"J Hou","year":"2020","unstructured":"Hou, J., Li, Q., Cui, S., et al. (2020). Low-cohesion differential privacy protection for industrial Internet. Journal of Supercomputing, 7, 1\u201323.","journal-title":"Journal of Supercomputing"},{"key":"2420_CR36","doi-asserted-by":"publisher","unstructured":"Li, Q., Hou, J., Meng, S., Long, H. (2020). GLIDE: A game theory and data-driven mimicking linkage intrusion detection for edge computing networks. Complexity, 2020, 18, Article ID 7136160. https:\/\/doi.org\/10.1155\/2020\/7136160.","DOI":"10.1155\/2020\/7136160"}],"container-title":["Wireless Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-020-02420-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11276-020-02420-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-020-02420-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T15:41:17Z","timestamp":1720021277000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11276-020-02420-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,11]]},"references-count":36,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["2420"],"URL":"https:\/\/doi.org\/10.1007\/s11276-020-02420-1","relation":{},"ISSN":["1022-0038","1572-8196"],"issn-type":[{"value":"1022-0038","type":"print"},{"value":"1572-8196","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,11]]},"assertion":[{"value":"11 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}