{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T08:52:39Z","timestamp":1743065559216,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":35,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819725847"},{"type":"electronic","value":"9789819725854"}],"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\/978-981-97-2585-4_22","type":"book-chapter","created":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T05:02:07Z","timestamp":1713934927000},"page":"304-318","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Linguistic Steganalysis Based on\u00a0Clustering and\u00a0Ensemble Learning in\u00a0Imbalanced Scenario"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9292-933X","authenticated-orcid":false,"given":"Shengnan","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4238-616X","authenticated-orcid":false,"given":"Xuekai","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9378-4303","authenticated-orcid":false,"given":"Zhuang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8027-9560","authenticated-orcid":false,"given":"Zhongliang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0727-2436","authenticated-orcid":false,"given":"Linna","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,25]]},"reference":[{"key":"22_CR1","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1007\/s10044-003-0192-z","volume":"6","author":"R Barandela","year":"2003","unstructured":"Barandela, R., Valdovinos, R.M., S\u00e1nchez, J.S.: New applications of ensembles of classifiers. Pattern Anal. Appl. 6, 245\u2013256 (2003)","journal-title":"Pattern Anal. Appl."},{"issue":"6","key":"22_CR2","doi-asserted-by":"publisher","first-page":"1071","DOI":"10.1016\/j.compeleceng.2011.07.004","volume":"37","author":"Z Chen","year":"2011","unstructured":"Chen, Z., Huang, L., Miao, H., Yang, W., Meng, P.: Steganalysis against substitution-based linguistic steganography based on context clusters. Comput. Electr. Eng. 37(6), 1071\u20131081 (2011)","journal-title":"Comput. Electr. Eng."},{"key":"22_CR3","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"issue":"2","key":"22_CR4","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1006\/inco.1995.1136","volume":"121","author":"Y Freund","year":"1995","unstructured":"Freund, Y.: Boosting a weak learning algorithm by majority. Inf. Comput. 121(2), 256\u2013285 (1995)","journal-title":"Inf. Comput."},{"issue":"12","key":"22_CR5","doi-asserted-by":"publisher","first-page":"3460","DOI":"10.1016\/j.patcog.2013.05.006","volume":"46","author":"M Galar","year":"2013","unstructured":"Galar, M., Fern\u00e1ndez, A., Barrenechea, E., Herrera, F.: EUSBoost: enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling. Pattern Recogn. 46(12), 3460\u20133471 (2013)","journal-title":"Pattern Recogn."},{"key":"22_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2020.101935","volume":"108","author":"L Gao","year":"2020","unstructured":"Gao, L., Zhang, L., Liu, C., Wu, S.: Handling imbalanced medical image data: a deep-learning-based one-class classification approach. Artif. Intell. Med. 108, 101935 (2020)","journal-title":"Artif. Intell. Med."},{"key":"22_CR7","doi-asserted-by":"crossref","unstructured":"He, H., Bai, Y., Garcia, E.A., Li, S.: ADASYN: adaptive synthetic sampling approach for imbalanced learning. In: 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), pp. 1322\u20131328. IEEE (2008)","DOI":"10.1109\/IJCNN.2008.4633969"},{"issue":"2","key":"22_CR8","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1109\/TIFS.2011.2108649","volume":"6","author":"YF Huang","year":"2011","unstructured":"Huang, Y.F., Tang, S., Yuan, J.: Steganography in inactive frames of VoIP streams encoded by source codec. IEEE Trans. Inf. Forensics Secur. 6(2), 296\u2013306 (2011)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"22_CR9","doi-asserted-by":"crossref","unstructured":"Johnson, N.F., Sallee, P.A.: Detection of hidden information, covert channels and information flows. In: Wiley Handbook of Science and Technology for Homeland Security, pp. 1\u201337 (2008)","DOI":"10.1002\/9780470087923.hhs427"},{"key":"22_CR10","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/3-540-48229-6_9","volume-title":"Artificial Intelligence in Medicine","author":"J Laurikkala","year":"2001","unstructured":"Laurikkala, J.: Improving identification of difficult small classes by balancing class distribution. In: Quaglini, S., Barahona, P., Andreassen, S. (eds.) AIME 2001. LNCS, vol. 2101, pp. 63\u201366. Springer, Heidelberg (2001). https:\/\/doi.org\/10.1007\/3-540-48229-6_9"},{"issue":"2","key":"22_CR11","doi-asserted-by":"publisher","first-page":"1476","DOI":"10.1109\/TDSC.2022.3156972","volume":"20","author":"S Li","year":"2022","unstructured":"Li, S., Wang, J., Liu, P.: Detection of generative linguistic steganography based on explicit and latent text word relation mining using deep learning. IEEE Trans. Dependable Secure Comput. 20(2), 1476\u20131487 (2022)","journal-title":"IEEE Trans. Dependable Secure Comput."},{"issue":"2","key":"22_CR12","first-page":"539","volume":"39","author":"XY Liu","year":"2008","unstructured":"Liu, X.Y., Wu, J., Zhou, Z.H.: Exploratory undersampling for class-imbalance learning. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 39(2), 539\u2013550 (2008)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B (Cybern.)"},{"issue":"4","key":"22_CR13","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1016\/j.csl.2005.06.002","volume":"20","author":"Y Liu","year":"2006","unstructured":"Liu, Y., Chawla, N.V., Harper, M.P., Shriberg, E., Stolcke, A.: A study in machine learning from imbalanced data for sentence boundary detection in speech. Comput. Speech Lang. 20(4), 468\u2013494 (2006)","journal-title":"Comput. Speech Lang."},{"key":"22_CR14","unstructured":"Liu, Z., Wei, P., Jiang, J., Cao, W., Bian, J., Chang, Y.: MESA: boost ensemble imbalanced learning with meta-sampler. In: Advances in Neural Information Processing Systems, vol. 33, pp. 14463\u201314474 (2020)"},{"issue":"12","key":"22_CR15","doi-asserted-by":"publisher","first-page":"1907","DOI":"10.1109\/LSP.2019.2953953","volume":"26","author":"Y Niu","year":"2019","unstructured":"Niu, Y., Wen, J., Zhong, P., Xue, Y.: A hybrid R-BILSTM-C neural network based text steganalysis. IEEE Sig. Process. Lett. 26(12), 1907\u20131911 (2019)","journal-title":"IEEE Sig. Process. Lett."},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Samanta, S., Dutta, S., Sanyal, G.: A real time text steganalysis by using statistical method. In: 2016 IEEE International Conference on Engineering and Technology (ICETECH), pp. 264\u2013268. IEEE (2016)","DOI":"10.1109\/ICETECH.2016.7569256"},{"issue":"1","key":"22_CR17","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1109\/TSMCA.2009.2029559","volume":"40","author":"C Seiffert","year":"2009","unstructured":"Seiffert, C., Khoshgoftaar, T.M., Van Hulse, J., Napolitano, A.: RUSBoost: a hybrid approach to alleviating class imbalance. IEEE Trans. Syst. Man Cybern.-Part A Syst. Hum. 40(1), 185\u2013197 (2009)","journal-title":"IEEE Trans. Syst. Man Cybern.-Part A Syst. Hum."},{"key":"22_CR18","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1007\/s11704-016-5306-z","volume":"12","author":"B Sun","year":"2018","unstructured":"Sun, B., Chen, H., Wang, J., Xie, H.: Evolutionary under-sampling based bagging ensemble method for imbalanced data classification. Front. Comput. Sci. 12, 331\u2013350 (2018)","journal-title":"Front. Comput. Sci."},{"issue":"5","key":"22_CR19","doi-asserted-by":"publisher","first-page":"1623","DOI":"10.1016\/j.patcog.2014.11.014","volume":"48","author":"Z Sun","year":"2015","unstructured":"Sun, Z., Song, Q., Zhu, X., Sun, H., Xu, B., Zhou, Y.: A novel ensemble method for classifying imbalanced data. Pattern Recogn. 48(5), 1623\u20131637 (2015)","journal-title":"Pattern Recogn."},{"issue":"8","key":"22_CR20","doi-asserted-by":"publisher","first-page":"2074","DOI":"10.1109\/TIFS.2019.2891237","volume":"14","author":"W Tang","year":"2019","unstructured":"Tang, W., Li, B., Tan, S., Barni, M., Huang, J.: CNN-based adversarial embedding for image steganography. IEEE Trans. Inf. Forensics Secur. 14(8), 2074\u20132087 (2019)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"22_CR21","doi-asserted-by":"publisher","first-page":"2081","DOI":"10.1109\/TIFS.2019.2956590","volume":"15","author":"Y Wang","year":"2019","unstructured":"Wang, Y., Zhang, W., Li, W., Yu, X., Yu, N.: Non-additive cost functions for color image steganography based on inter-channel correlations and differences. IEEE Trans. Inf. Forensics Secur. 15, 2081\u20132095 (2019)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"22_CR22","doi-asserted-by":"crossref","unstructured":"Wang, Y., Gan, W., Yang, J., Wu, W., Yan, J.: Dynamic curriculum learning for imbalanced data classification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 5017\u20135026 (2019)","DOI":"10.1109\/ICCV.2019.00512"},{"key":"22_CR23","doi-asserted-by":"publisher","first-page":"558","DOI":"10.1109\/LSP.2021.3062233","volume":"28","author":"H Wu","year":"2021","unstructured":"Wu, H., Yi, B., Ding, F., Feng, G., Zhang, X.: Linguistic steganalysis with graph neural networks. IEEE Sig. Process. Lett. 28, 558\u2013562 (2021)","journal-title":"IEEE Sig. Process. Lett."},{"key":"22_CR24","doi-asserted-by":"publisher","first-page":"1893","DOI":"10.1007\/s11042-012-1313-8","volume":"71","author":"L Xiang","year":"2014","unstructured":"Xiang, L., Sun, X., Luo, G., Xia, B.: Linguistic steganalysis using the features derived from synonym frequency. Multimedia Tools Appl. 71, 1893\u20131911 (2014)","journal-title":"Multimedia Tools Appl."},{"key":"22_CR25","doi-asserted-by":"crossref","unstructured":"Yang, H., Bao, Y., Yang, Z., Liu, S., Huang, Y., Jiao, S.: Linguistic steganalysis via densely connected LSTM with feature pyramid. In: Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security, pp. 5\u201310 (2020)","DOI":"10.1145\/3369412.3395067"},{"issue":"4","key":"22_CR26","first-page":"661","volume":"19","author":"H Yang","year":"2010","unstructured":"Yang, H., Cao, X.: Linguistic steganalysis based on meta features and immune mechanism. Chin. J. Electron. 19(4), 661\u2013666 (2010)","journal-title":"Chin. J. Electron."},{"key":"22_CR27","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1109\/LSP.2021.3122901","volume":"29","author":"J Yang","year":"2021","unstructured":"Yang, J., Yang, Z., Zhang, S., Tu, H., Huang, Y.: SeSy: linguistic steganalysis framework integrating semantic and syntactic features. IEEE Sig. Process. Lett. 29, 31\u201335 (2021)","journal-title":"IEEE Sig. Process. Lett."},{"issue":"5","key":"22_CR28","doi-asserted-by":"publisher","first-page":"1280","DOI":"10.1109\/TIFS.2018.2871746","volume":"14","author":"ZL Yang","year":"2018","unstructured":"Yang, Z.L., Guo, X.Q., Chen, Z.M., Huang, Y.F., Zhang, Y.J.: RNN-Stega: linguistic steganography based on recurrent neural networks. IEEE Trans. Inf. Forensics Secur. 14(5), 1280\u20131295 (2018)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"22_CR29","unstructured":"Yang, Z., Du, X., Tan, Y., Huang, Y., Zhang, Y.J.: AAG-Stega: automatic audio generation-based steganography. arXiv preprint arXiv:1809.03463 (2018)"},{"issue":"4","key":"22_CR30","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1109\/LSP.2019.2902095","volume":"26","author":"Z Yang","year":"2019","unstructured":"Yang, Z., Huang, Y., Zhang, Y.J.: A fast and efficient text steganalysis method. IEEE Sig. Process. Lett. 26(4), 627\u2013631 (2019)","journal-title":"IEEE Sig. Process. Lett."},{"key":"22_CR31","doi-asserted-by":"publisher","first-page":"18293","DOI":"10.1007\/s11042-020-08716-w","volume":"79","author":"Z Yang","year":"2020","unstructured":"Yang, Z., Huang, Y., Zhang, Y.J.: TS-CSW: text steganalysis and hidden capacity estimation based on convolutional sliding windows. Multimedia Tools Appl. 79, 18293\u201318316 (2020)","journal-title":"Multimedia Tools Appl."},{"key":"22_CR32","doi-asserted-by":"crossref","unstructured":"Zhang, S., Yang, Z., Yang, J., Huang, Y.: Provably secure generative linguistic steganography. arXiv preprint arXiv:2106.02011 (2021)","DOI":"10.18653\/v1\/2021.findings-acl.268"},{"issue":"5","key":"22_CR33","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1007\/s10618-022-00838-z","volume":"36","author":"F Zhou","year":"2022","unstructured":"Zhou, F., et al.: Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification. Data Min. Knowl. Disc. 36(5), 1601\u20131622 (2022)","journal-title":"Data Min. Knowl. Disc."},{"key":"22_CR34","doi-asserted-by":"crossref","unstructured":"Ziegler, Z.M., Deng, Y., Rush, A.M.: Neural linguistic steganography. arXiv preprint arXiv:1909.01496 (2019)","DOI":"10.18653\/v1\/D19-1115"},{"key":"22_CR35","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1007\/978-3-030-69449-4_7","volume-title":"Digital-Forensics and Watermarking","author":"J Zou","year":"2021","unstructured":"Zou, J., Yang, Z., Zhang, S., ur Rehman, S., Huang, Y.: High-performance linguistic steganalysis, capacity estimation and steganographic positioning. In: Zhao, X., Shi, Y.Q., Piva, A., Kim, H.J. (eds.) IWDW 2020. LNSC, vol. 12617, pp. 80\u201393. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-69449-4_7"}],"container-title":["Lecture Notes in Computer Science","Digital Forensics and Watermarking"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-2585-4_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T22:41:56Z","timestamp":1731796916000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-2585-4_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819725847","9789819725854"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-2585-4_22","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":"25 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWDW","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Digital Watermarking","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jinan","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwdw2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iwdw.site\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}