{"id":"https://openalex.org/W2945193072","doi":"https://doi.org/10.1145/3318299.3318302","title":"CNNPayl","display_name":"CNNPayl","publication_year":2019,"publication_date":"2019-02-22","ids":{"openalex":"https://openalex.org/W2945193072","doi":"https://doi.org/10.1145/3318299.3318302","mag":"2945193072"},"language":"en","primary_location":{"id":"doi:10.1145/3318299.3318302","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhang Guichang","orcid":null},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Guichang","raw_affiliation_strings":["Nanchang HangKong University, Jiangxi Province, Nanchang"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang HangKong University, Jiangxi Province, Nanchang","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032430118","display_name":"Yunfeng Nie","orcid":"https://orcid.org/0000-0001-5907-1362"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nie Yunfeng","raw_affiliation_strings":["Nanchang HangKong University, Jiangxi Province, Nanchang"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang HangKong University, Jiangxi Province, Nanchang","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101728051","display_name":"Xing Wang","orcid":"https://orcid.org/0000-0003-3568-4994"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Xing","raw_affiliation_strings":["Nanjing Normal University, Jiangsu Province, Nanjing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Normal University, Jiangsu Province, Nanjing","institution_ids":["https://openalex.org/I152031979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03676426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"477","last_page":"483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12479","display_name":"Web Application Security Vulnerabilities","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8341463804244995},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.5945480465888977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5700169801712036},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5421633720397949},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5319887399673462},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5085471868515015},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.4144666790962219},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4045136570930481},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.3303549587726593},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3132982850074768}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8341463804244995},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.5945480465888977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5700169801712036},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5421633720397949},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5319887399673462},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5085471868515015},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.4144666790962219},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4045136570930481},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3303549587726593},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3132982850074768},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3318299.3318302","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1567375724","https://openalex.org/W1832693441","https://openalex.org/W1918688019","https://openalex.org/W1991796154","https://openalex.org/W2066664409","https://openalex.org/W2106919779","https://openalex.org/W2114271194","https://openalex.org/W2121035740","https://openalex.org/W2164582878","https://openalex.org/W2167187243","https://openalex.org/W2370779294","https://openalex.org/W2381003505","https://openalex.org/W2962853227","https://openalex.org/W2964121744","https://openalex.org/W3147903118"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3108503355","https://openalex.org/W4226420367","https://openalex.org/W2962876041","https://openalex.org/W3090555870","https://openalex.org/W3022820045","https://openalex.org/W2801655600","https://openalex.org/W3005627584","https://openalex.org/W2894954915"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,40,61,69,104,111],"effectively":[3],"improve":[4],"the":[5,24,33,42,71,78,89,116,124,128,134],"accuracy":[6],"of":[7],"cross-site":[8],"scripting":[9],"attack":[10,19,25,44],"detection,":[11],"a":[12],"method":[13,126],"based":[14],"on":[15],"CNNPayl":[16],"for":[17],"XSS":[18],"detection":[20,135],"is":[21,27,67,86,92,96],"proposed.":[22],"Firstly,":[23],"vector":[26],"generated":[28],"and":[29,36,58,77,83,88,106,110,132],"transformed":[30],"by":[31,56,99],"using":[32],"HMM":[34],"model":[35],"code":[37],"obfuscation":[38],"strategy":[39],"obtain":[41],"test":[43],"data":[45,52],"set.":[46],"Using":[47],"sample":[48,51],"preprocessing,":[49],"all":[50],"sets":[53],"are":[54],"processed":[55],"normalization":[57],"word":[59,75],"segmentation":[60],"reduce":[62],"redundant":[63],"information.":[64],"Secondly,":[65],"Word2vec":[66],"used":[68],"convert":[70],"preprocessing":[72],"results":[73,121],"into":[74],"embedding,":[76],"relationship":[79],"between":[80],"HTML":[81],"tags":[82],"DOM":[84],"methods":[85],"obtained,":[87],"network":[90],"structure":[91],"reduced.":[93],"The":[94,119],"complexity":[95],"further":[97],"studied":[98],"constructing":[100],"four":[101],"convolutional":[102],"layers":[103],"learn":[105],"extract":[107],"semantic":[108],"features,":[109],"achieve":[112],"effective":[113],"classification":[114],"through":[115],"SOFTMAX":[117],"layer.":[118],"experimental":[120],"show":[122],"that":[123],"proposed":[125],"reduces":[127],"false":[129],"positive":[130],"rate":[131],"improves":[133],"accuracy.":[136]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2019-05-29T00:00:00"}
