{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T09:56:17Z","timestamp":1779011777413,"version":"3.51.4"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"name":"National Key R&D Program of China","award":["2016YFB0800700"],"award-info":[{"award-number":["2016YFB0800700"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61472341"],"award-info":[{"award-number":["61472341"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772449"],"award-info":[{"award-number":["61772449"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572420"],"award-info":[{"award-number":["61572420"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61807028"],"award-info":[{"award-number":["61807028"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61802332"],"award-info":[{"award-number":["61802332"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["F2016203330"],"award-info":[{"award-number":["F2016203330"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2900462","type":"journal-article","created":{"date-parts":[[2019,2,28]],"date-time":"2019-02-28T19:40:10Z","timestamp":1551382810000},"page":"28291-28298","source":"Crossref","is-referenced-by-count":68,"title":["Automatic Classification Method for Software Vulnerability Based on Deep Neural Network"],"prefix":"10.1109","volume":"7","author":[{"given":"Guoyan","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yazhou","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7159-1424","authenticated-orcid":false,"given":"Qian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiadong","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7282-7638","authenticated-orcid":false,"given":"Yongqiang","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2756440"},{"key":"ref12","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neu Inf Proc Sys"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1038\/nature16961","article-title":"Mastering the game of Go with deep neural networks and tree search","volume":"529","author":"silver","year":"2016","journal-title":"Nature"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1162"},{"key":"ref15","first-page":"322","article-title":"Large-scale text classification with deep neural networks","volume":"23","author":"jo","year":"2016","journal-title":"Comput Congnit"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/3610378"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-64701-2_35"},{"key":"ref18","author":"daniel","year":"0","journal-title":"Information Gain"},{"key":"ref19","year":"2018","journal-title":"National Vulnerability Database"},{"key":"ref4","first-page":"37","article-title":"An analytical study on automatic classification of domestic journal articles based on machine learning","volume":"35","author":"kim","year":"2018","journal-title":"J Korean Soc Inf Manage"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S1363-4127(03)00005-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2014.7049035"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICInfA.2013.6720316"},{"key":"ref8","first-page":"3","article-title":"Automatic vulnerability classification using machine learning","author":"gawron","year":"2017","journal-title":"Proc Int Conf Risks Security Internet Syst"},{"key":"ref7","first-page":"657","article-title":"A study on the classification of common vulnerabilities and exposures using Naïve Bayes","author":"na","year":"2016","journal-title":"Proc Int Conf Broadband Wireless Comput Commun Appl"},{"key":"ref2","author":"bisbey","year":"1978","journal-title":"Protection Analysis Final Report"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.6028\/NBS.IR.76-1041"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref20","year":"2018","journal-title":"Stop word list"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2009.07.011"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2934"},{"key":"ref23","first-page":"113","article-title":"An improved KNN text classification algorithm based on density","author":"shi","year":"2017","journal-title":"Proc IEEE Int Conf Cloud Comput Intell Syst"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08654631.pdf?arnumber=8654631","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T09:28:09Z","timestamp":1643275689000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8654631\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2900462","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}