{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T23:49:01Z","timestamp":1779925741042,"version":"3.53.1"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T00:00:00Z","timestamp":1619136000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T00:00:00Z","timestamp":1619136000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T00:00:00Z","timestamp":1619136000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1836113,U1836209,U1936211"],"award-info":[{"award-number":["U1836113,U1836209,U1936211"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,4,23]]},"DOI":"10.1109\/icccs52626.2021.9449245","type":"proceedings-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T20:41:56Z","timestamp":1624308116000},"page":"769-773","source":"Crossref","is-referenced-by-count":9,"title":["A Comparative Study of RNN-based Methods for Web Malicious Code Detection"],"prefix":"10.1109","author":[{"given":"Zhibin","family":"Guan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiajie","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaomeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Xin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangping","family":"Jing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC.2019.10211"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/INOCON50539.2020.9298298"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref14","article-title":"Training rnns as fast as cnns","volume":"abs 1709 2755","author":"lei","year":"2017","journal-title":"CoRR"},{"key":"ref15","author":"chen","year":"2017","journal-title":"Minimalrnn Toward more interpretable and trainable recurrent neural networks"},{"key":"ref16","article-title":"Using lexical features for malicious URL detection - A machine learning approach","author":"joshi","year":"2019","journal-title":"CoRR"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2995157"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/GloSIC50886.2020.9267866"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SERVICES48979.2020.00046"},{"key":"ref6","first-page":"1045","article-title":"Recurrent neural network based language model","author":"mikolov","year":"0","journal-title":"Eleventh Annual Conference of the International Speech Communication Association"},{"key":"ref5","first-page":"1","article-title":"Detection of xss in web applications using machine learning classifiers","author":"banerjee","year":"2020","journal-title":"2020 4th International Conference on Electronics Materials Engineering NanoTechnology (lEMENTech)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/COMSNETS48256.2020.9027485"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCNT.2018.8494159"},{"key":"ref2","first-page":"1","article-title":"Malicious urls and attachments detection on lexical-based features using machine learning techniques","author":"zeng","year":"2018","journal-title":"University of Electronic Science and Technology of China"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2016.7850079"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-020-00234-8"}],"event":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","location":"Chengdu, China","start":{"date-parts":[[2021,4,23]]},"end":{"date-parts":[[2021,4,26]]}},"container-title":["2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9449108\/9449090\/09449245.pdf?arnumber=9449245","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:42:28Z","timestamp":1652197348000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9449245\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,23]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/icccs52626.2021.9449245","relation":{},"subject":[],"published":{"date-parts":[[2021,4,23]]}}}