{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T23:06:15Z","timestamp":1768518375194,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Singapore","isbn-type":[{"value":"9789813293427","type":"print"},{"value":"9789813293434","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-32-9343-4_10","type":"book-chapter","created":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T04:03:23Z","timestamp":1578024203000},"page":"99-115","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Against Malicious SSL\/TLS Encryption: Identify Malicious Traffic Based on Random Forest"],"prefix":"10.1007","author":[{"given":"Yong","family":"Fang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yijia","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,1,3]]},"reference":[{"key":"10_CR1","doi-asserted-by":"crossref","unstructured":"Moore, A.W., Papagiannaki, K.: Toward the accurate identification of network application. In: Proceedings of Passive and Active Networks Measurement Workshop, pp. 41\u201354 (2005)","DOI":"10.1007\/978-3-540-31966-5_4"},{"issue":"4","key":"10_CR2","first-page":"1090","volume":"8","author":"L Ding","year":"2013","unstructured":"Ding, L., Yu, F., Peng, S., et al.: A classification algorithm for network traffic based on improved support vector machine. J. Comput. 8(4), 1090\u20131096 (2013)","journal-title":"J. Comput."},{"issue":"4","key":"10_CR3","first-page":"340","volume":"8","author":"T Kalaiselvi","year":"2016","unstructured":"Kalaiselvi, T., Shanmugaraja, P.: Hybrid algorithm for the traffic flows. J. Comput. 8(4), 340\u2013343 (2016)","journal-title":"J. Comput."},{"issue":"6","key":"10_CR4","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1016\/j.comnet.2008.11.016","volume":"53","author":"L Wei","year":"2009","unstructured":"Wei, L., Marco, C., Moore, et al.: Efficient application identification and the temporal and spatial stability of classification schema. Comput. Netw. 53(6), 790\u2013809 (2009)","journal-title":"Comput. Netw."},{"issue":"4","key":"10_CR5","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1016\/j.jnca.2010.02.002","volume":"33","author":"C Arthur","year":"2010","unstructured":"Arthur, C., Judith, K., Djamel, S., et al.: Better network traffic identification through the independent combination of techniques. J. Netw. Comput. Appl. 33(4), 433\u2013446 (2010)","journal-title":"J. Netw. Comput. Appl."},{"issue":"1","key":"10_CR6","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1109\/MNET.2012.6135854","volume":"26","author":"D Alberto","year":"2012","unstructured":"Alberto, D., Antonio, P., Kimberly, C.C.: Issues and future directions in traffic classification. IEEE Netw. 26(1), 35\u201340 (2012)","journal-title":"IEEE Netw."},{"issue":"1","key":"10_CR7","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breinman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"10_CR8","unstructured":"Hjelmvik, E., John, W.: Statistical protocol identification with SPID: preliminary results. In: Swedish National Computer Networking Workshop (2009)"},{"issue":"4","key":"10_CR9","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/SURV.2008.080406","volume":"10","author":"TT Jnguyen","year":"2008","unstructured":"Jnguyen, T.T., Grenville, A.: A survey of techniques for internet traffic classification using machine learning. IEEE Commun. Surv. Tutor. 10(4), 56\u201376 (2008)","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"10_CR10","unstructured":"Cybercrime tactics and techniques Q1 2017. \nhttps:\/\/www.malwarebytes.com\/pdf\/labs\/ybercrime-Tactics-and-Techniques-Q1-2017.pdf"},{"key":"10_CR11","unstructured":"Three-Quarters of Organizations Experienced Phishing Attacks in 2017, Report Uncovers. \nhttps:\/\/www.tripwire.com\/state-of-security\/security-data-protection\/three-quarters-organizations-experienced-phishing-attacks-2017-report-uncovers\/"},{"key":"10_CR12","unstructured":"Banking trojans, not ransomware, are the biggest threat to the enterprise now. \nhttps:\/\/www.techrepublic.com\/article\/banking-trojans-not-ransomware-are-the-biggest-threat-to-the-enterprise-now\/"},{"key":"10_CR13","unstructured":"Top 10 Banking Trojans for 2017: What you need to know. \nhttps:\/\/blog.barkly.com\/top-banking-trojans-2017"},{"key":"10_CR14","unstructured":"Spamhaus Botnet Threat Report 2017. \nhttps:\/\/www.spamhaus.org\/news\/article\/772\/"},{"key":"10_CR15","unstructured":"2017 State of Malware Report. \nhttps:\/\/www.malwarebytes.com\/pdf\/white-papers\/stateofmalware.pdf"},{"key":"10_CR16","unstructured":"Malware-Traffic-Analysis.net. \nhttp:\/\/www.malware-traffic-analysis.net\/"}],"container-title":["Advances in Intelligent Systems and Computing","Fourth International Congress on Information and Communication Technology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-32-9343-4_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T05:09:20Z","timestamp":1578028160000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-32-9343-4_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789813293427","9789813293434"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-32-9343-4_10","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"3 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}