{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T18:25:02Z","timestamp":1761157502817,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031251573"},{"type":"electronic","value":"9783031251580"}],"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\/978-3-031-25158-0_13","type":"book-chapter","created":{"date-parts":[[2023,2,13]],"date-time":"2023-02-13T21:37:20Z","timestamp":1676324240000},"page":"163-179","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["WSNet: A Wrapper-Based Stacking Network for\u00a0Multi-scenes Classification of\u00a0DApps"],"prefix":"10.1007","author":[{"given":"Yu","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhen","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingxin","family":"Cui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaopeng","family":"Gou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengshang","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,2,10]]},"reference":[{"key":"13_CR1","unstructured":"State of the DApps 2022. https:\/\/www.stateofthedapps.com\/"},{"key":"13_CR2","doi-asserted-by":"crossref","unstructured":"Alan, H.F., Kaur, J.: Can android applications be identified using only TCP\/IP headers of their launch time traffic? In: Proceedings of the 9th ACM Conference on Security and Privacy in Wireless and Mobile Networks, pp. 61\u201366 (2016)","DOI":"10.1145\/2939918.2939929"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Cai, X., Zhang, X.C., Joshi, B., Johnson, R.: Touching from a distance: website fingerprinting attacks and defenses. In: Proceedings of the ACM Conference on Computer and Communications Security (CCS), pp. 605\u2013616 (2012)","DOI":"10.1145\/2382196.2382260"},{"issue":"1","key":"13_CR4","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1109\/TIFS.2015.2478741","volume":"11","author":"M Conti","year":"2016","unstructured":"Conti, M., Mancini, L.V., Spolaor, R., Verde, N.V.: Analyzing android encrypted network traffic to identify user actions. IEEE Trans. Inf. Forensics Secur. 11(1), 114\u2013125 (2016)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"5","key":"13_CR5","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/2677046.2677048","volume":"44","author":"SE Coull","year":"2014","unstructured":"Coull, S.E., Dyer, K.P.: Traffic analysis of encrypted messaging services: apple imessage and beyond. Comput. Commun. Rev. 44(5), 5\u201311 (2014)","journal-title":"Comput. Commun. Rev."},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Draper-Gil, G., Lashkari, A.H., Mamun, M.S.I.: Characterization of encrypted and VPN traffic using time-related features. In: Proceedings of the 2nd International Conference on Information Systems Security and Privacy, pp. 407\u2013414 (2016)","DOI":"10.5220\/0005740704070414"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Liu, C., He, L., Xiong, G.: FS-Net: a flow sequence network for encrypted traffic classification. In: IEEE INFOCOM 2019 - IEEE Conference on Computer Communications (INFOCOM), pp. 1171\u20131179 (2019)","DOI":"10.1109\/INFOCOM.2019.8737507"},{"issue":"8","key":"13_CR8","doi-asserted-by":"publisher","first-page":"1830","DOI":"10.1109\/TIFS.2017.2692682","volume":"12","author":"M Shen","year":"2017","unstructured":"Shen, M., Wei, M., Zhu, L., Wang, M.: Classification of encrypted traffic with second-order markov chains and application attribute bigrams. IEEE Trans. Inf. Forensics Secur. 12(8), 1830\u20131843 (2017)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"13_CR9","doi-asserted-by":"publisher","first-page":"2367","DOI":"10.1109\/TIFS.2021.3050608","volume":"16","author":"M Shen","year":"2021","unstructured":"Shen, M., Zhang, J., Zhu, L., Xu, K., Du, X.: Accurate decentralized application identification via encrypted traffic analysis using graph neural networks. IEEE Trans. Inf. Forensics Secur. 16, 2367\u20132380 (2021)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Shen, M., Zhang, J., Zhu, L., Xu, K., Du, X., Liu, Y.: Encrypted traffic classification of decentralized applications on ethereum using feature fusion. In: Proceedings of the International Symposium on Quality of Service. IWQoS, pp. 18:1\u201318:10 (2019)","DOI":"10.1145\/3326285.3329053"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Sirinam, P., Imani, M., Ju\u00e1rez, M., Wright, M.: Deep fingerprinting: undermining website fingerprinting defenses with deep learning. In: Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security (CCS), pp. 1928\u20131943 (2018)","DOI":"10.1145\/3243734.3243768"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Taylor, V.F., Spolaor, R., Conti, M., Martinovic, I.: AppScanner: automatic fingerprinting of smartphone apps from encrypted network traffic. In: IEEE European Symposium on Security and Privacy, EuroS &P, pp. 439\u2013454 (2016)","DOI":"10.1109\/EuroSP.2016.40"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Wang, Y., Li, Z., Gou, G.: Identifying DApps and user behaviors on ethereum via encrypted traffic. In: Security and Privacy in Communication Networks (2020)","DOI":"10.1007\/978-3-030-63095-9_4"},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Wang, Y., Xiong, G., Liu, C.: CQNet: a clustering-based quadruplet network for decentralized application classification via encrypted traffic. In: Machine Learning and Knowledge Discovery in Databases, pp. 518\u2013534 (2021)","DOI":"10.1007\/978-3-030-86514-6_32"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Yan, F., et al.: Identifying wechat red packets and fund transfers via analyzing encrypted network traffic. In: TrustCom\/BigDataSE, pp. 1426\u20131432 (2018)","DOI":"10.1109\/TrustCom\/BigDataSE.2018.00198"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Zhou, X., Demetriou, S., He, D., Naveed, M., Pan, X.: Identity, location, disease and more: inferring your secrets from android public resources. In: ACM SIGSAC Conference on Computer and Communications Security. (CCS), pp. 1017\u20131028 (2013)","DOI":"10.1145\/2508859.2516661"}],"container-title":["Lecture Notes in Computer Science","Web and Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-25158-0_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T19:08:11Z","timestamp":1689880091000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-25158-0_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031251573","9783031251580"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-25158-0_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"10 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"APWeb-WAIM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","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":"11 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apwebwaim2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/apweb-waim2022.com\/proceedings","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-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":"297","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":"75","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":"45","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":"25% - 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":"5","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)"}},{"value":"5 Demo papers + 23 workshop papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}