{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:46:45Z","timestamp":1759333605141,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819973552"},{"type":"electronic","value":"9789819973569"}],"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\/978-981-99-7356-9_22","type":"book-chapter","created":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T09:03:24Z","timestamp":1697706204000},"page":"370-382","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Zoomer: A Website Fingerprinting Attack Against Tor Hidden Services"],"prefix":"10.1007","author":[{"given":"Yuwei","family":"Xu","sequence":"first","affiliation":[]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jiangfeng","family":"Li","sequence":"additional","affiliation":[]},{"given":"Kehui","family":"Song","sequence":"additional","affiliation":[]},{"given":"Yali","family":"Yuan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,20]]},"reference":[{"issue":"4","key":"22_CR1","doi-asserted-by":"publisher","first-page":"292","DOI":"10.2478\/popets-2019-0070","volume":"2019","author":"S Bhat","year":"2019","unstructured":"Bhat, S., Lu, D., Kwon, A., et al.: Var-CNN: a data-efficient website fingerprinting attack based on deep learning. Proc. Priv. Enhancing Technol. (PoPETs) 2019(4), 292\u2013310 (2019)","journal-title":"Proc. Priv. Enhancing Technol. (PoPETs)"},{"key":"22_CR2","doi-asserted-by":"crossref","unstructured":"Christin, N.: Traveling the silk road: a measurement analysis of a large anonymous online marketplace. In: Proceedings of the 22nd International Conference on World Wide Web (WWW), pp. 213\u2013224. ACM (2013)","DOI":"10.1145\/2488388.2488408"},{"issue":"4","key":"22_CR3","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1515\/popets-2016-0050","volume":"2016","author":"M Conti","year":"2016","unstructured":"Conti, M., Crane, S., Frassetto, T., et al.: Selfrando: securing the tor browser against de-anonymization exploits. Proc. Priv. Enhancing Technol. (PoPETs) 2016(4), 454\u2013469 (2016)","journal-title":"Proc. Priv. Enhancing Technol. (PoPETs)"},{"key":"22_CR4","unstructured":"Hayes, J., Danezis, G.: k-fingerprinting: a robust scalable website fingerprinting technique. In: Proceedings of the 25th USENIX Security Symposium, pp. 1187\u20131203. USENIX Association (2016)"},{"issue":"4","key":"22_CR5","doi-asserted-by":"publisher","first-page":"869","DOI":"10.1016\/j.comnet.2012.11.005","volume":"57","author":"Z Ling","year":"2013","unstructured":"Ling, Z., Luo, J., Yu, W., et al.: Protocol-level attacks against Tor. Comput. Netw. (CN) 57(4), 869\u2013886 (2013)","journal-title":"Comput. Netw. (CN)"},{"issue":"3","key":"22_CR6","doi-asserted-by":"publisher","first-page":"5","DOI":"10.2478\/popets-2020-0043","volume":"2020","author":"RS Mohammad","year":"2020","unstructured":"Mohammad, R.S., Sirinam, P., Mathews, N., et al.: Tik-Tok: the utility of packet timing in website fingerprinting attacks. Proc. Priv. Enhancing Technol. (PoPETs) 2020(3), 5\u201324 (2020)","journal-title":"Proc. Priv. Enhancing Technol. (PoPETs)"},{"key":"22_CR7","doi-asserted-by":"crossref","unstructured":"Overdorf, R., Juarez, M., Acar, G., et al.: How unique is your.onion? An analysis of the fingerprintability of tor onion services. In: Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security (CCS), pp. 2021\u20132036. ACM (2017)","DOI":"10.1145\/3133956.3134005"},{"key":"22_CR8","doi-asserted-by":"crossref","unstructured":"Rimmer, V., Preuveneers, D., Juarez, M., et al.: Automated website fingerprinting through deep learning. In: Proceedings of the 25th Annual Network and Distributed System Security Symposium (NDSS), pp. 1\u201315. The Internet Society (2018)","DOI":"10.14722\/ndss.2018.23105"},{"key":"22_CR9","doi-asserted-by":"crossref","unstructured":"Shen, M., Gao, Z., Zhu, L., et al.: Efficient fine-grained website fingerprinting via encrypted traffic analysis with deep learning. In: Proceedings of the 29th IEEE\/ACM International Symposium on Quality of Service (IWQOS), pp. 1\u201310. IEEE (2021)","DOI":"10.1109\/IWQOS52092.2021.9521272"},{"issue":"1","key":"22_CR10","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1109\/COMST.2022.3208196","volume":"25","author":"M Shen","year":"2023","unstructured":"Shen, M., Ye, K., Liu, X., et al.: Machine learning-powered encrypted network traffic analysis: a comprehensive survey. IEEE Commun. Surv. Tutor. (COMST) 25(1), 791\u2013824 (2023)","journal-title":"IEEE Commun. Surv. Tutor. (COMST)"},{"key":"22_CR11","doi-asserted-by":"crossref","unstructured":"Sirinam, P., Imani, M., Juarez, M., et al.: Deep fingerprinting: undermining website fingerprinting defenses with deep learning. In: Proceedings of the 25th ACM Conference on Computer and Communications Security (CCS), pp. 1928\u20131943. ACM (2018)","DOI":"10.1145\/3243734.3243768"},{"issue":"6","key":"22_CR12","doi-asserted-by":"publisher","first-page":"2574","DOI":"10.1109\/TNET.2022.3174003","volume":"30","author":"Q Tan","year":"2022","unstructured":"Tan, Q., Wang, X., Shi, W., et al.: An anonymity vulnerability in Tor. IEEE\/ACM Trans. Netw. (TON) 30(6), 2574\u20132587 (2022)","journal-title":"IEEE\/ACM Trans. Netw. (TON)"},{"key":"22_CR13","doi-asserted-by":"crossref","unstructured":"Wang, M., Li, Y., Wang, X., et al.: 2ch-TCN: a website fingerprinting attack over tor using 2-channel temporal convolutional networks. In: Proceedings of the 25th IEEE Symposium on Computers and Communications (ISCC), pp. 1\u20137. IEEE (2020)","DOI":"10.1109\/ISCC50000.2020.9219717"},{"key":"22_CR14","doi-asserted-by":"crossref","unstructured":"Wang, X., Girshick, R., Gupta, A., et al.: Non-local neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7794\u20137803. IEEE (2018)","DOI":"10.1109\/CVPR.2018.00813"},{"key":"22_CR15","doi-asserted-by":"publisher","first-page":"1214","DOI":"10.1109\/TIFS.2022.3158086","volume":"17","author":"Y Wang","year":"2022","unstructured":"Wang, Y., Xu, H., Guo, Z., et al.: SnWF: website fingerprinting attack by ensembling the snapshot of deep learning. IEEE Trans. Inf. Forensics Secur. (TIFS) 17, 1214\u20131226 (2022)","journal-title":"IEEE Trans. Inf. Forensics Secur. (TIFS)"},{"key":"22_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108267","volume":"196","author":"G Xie","year":"2021","unstructured":"Xie, G., Li, Q., Jiang, Y.: Self-attentive deep learning method for online traffic classification and its interpretability. Comput. Netw. (CN) 196, 108267 (2021)","journal-title":"Comput. Netw. (CN)"}],"container-title":["Lecture Notes in Computer Science","Information and Communications Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-7356-9_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T09:08:06Z","timestamp":1697706486000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-7356-9_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819973552","9789819973569"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-7356-9_22","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":"20 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICICS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information and Communications Security","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icics2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icics23.nankai.edu.cn\/index.php","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"181","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":"38","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":"6","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":"21% - 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":"3.33","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":"4.93","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)"}}]}}