{"id":"https://openalex.org/W4394913540","doi":"https://doi.org/10.1145/3638782.3638812","title":"Intranet security detection based on image and deep transfer learning","display_name":"Intranet security detection based on image and deep transfer learning","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4394913540","doi":"https://doi.org/10.1145/3638782.3638812"},"language":"en","primary_location":{"id":"doi:10.1145/3638782.3638812","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638782.3638812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 13th International Conference on Communication and Network Security","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":"https://openalex.org/A5102808532","display_name":"Jian Jiao","orcid":"https://orcid.org/0000-0003-3546-1045"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Jiao","raw_affiliation_strings":["computer school, Beijing Information Science and Technology University, China"],"raw_orcid":"https://orcid.org/0000-0003-3546-1045","affiliations":[{"raw_affiliation_string":"computer school, Beijing Information Science and Technology University, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062714819","display_name":"Zhifei Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifei Liu","raw_affiliation_strings":["computer school, Beijing Information Science and Technology University, China"],"raw_orcid":"https://orcid.org/0009-0005-7387-8126","affiliations":[{"raw_affiliation_string":"computer school, Beijing Information Science and Technology University, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074372458","display_name":"Lan Li","orcid":"https://orcid.org/0009-0005-0924-8066"},"institutions":[{"id":"https://openalex.org/I15089104","display_name":"China Aerospace Science and Industry Corporation (China)","ror":"https://ror.org/0523vvf33","country_code":"CN","type":"company","lineage":["https://openalex.org/I15089104"]},{"id":"https://openalex.org/I4210093776","display_name":"DHC Software (China)","ror":"https://ror.org/00kn8e190","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Li","raw_affiliation_strings":["CASIC_CQC Software Testing and Assessment Technology (Beijing)Corporation,Ltd, China"],"raw_orcid":"https://orcid.org/0009-0005-0924-8066","affiliations":[{"raw_affiliation_string":"CASIC_CQC Software Testing and Assessment Technology (Beijing)Corporation,Ltd, China","institution_ids":["https://openalex.org/I4210093776","https://openalex.org/I15089104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68114385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"196","last_page":"202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7444043755531311},{"id":"https://openalex.org/keywords/intranet","display_name":"Intranet","score":0.7369803190231323},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6050768494606018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4795624613761902},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4788820147514343},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.442748486995697},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39933574199676514},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3496897518634796},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19838565587997437},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.149452805519104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444043755531311},{"id":"https://openalex.org/C2778059363","wikidata":"https://www.wikidata.org/wiki/Q483426","display_name":"Intranet","level":3,"score":0.7369803190231323},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6050768494606018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4795624613761902},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4788820147514343},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.442748486995697},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39933574199676514},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3496897518634796},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19838565587997437},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.149452805519104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638782.3638812","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638782.3638812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 13th International Conference on Communication and Network Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2165698076","https://openalex.org/W2606089314","https://openalex.org/W2901492899","https://openalex.org/W3014615346","https://openalex.org/W3040660552","https://openalex.org/W3090343537","https://openalex.org/W3100214273","https://openalex.org/W3128708983","https://openalex.org/W3136021864","https://openalex.org/W3192854986","https://openalex.org/W3196851617","https://openalex.org/W3198135479","https://openalex.org/W3211162834","https://openalex.org/W4220818975"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W3198847674"],"abstract_inverted_index":{"Currently,":[0],"intranet":[1,148],"security":[2,149],"detection":[3,118,150],"faces":[4],"several":[5],"technical":[6],"challenges:":[7],"including":[8],"an":[9],"extremely":[10],"imbalanced":[11],"sample":[12,17],"size":[13],"and":[14,26,41,81,92],"a":[15,21,105,122],"small":[16],"problem.":[18],"We":[19,119],"propose":[20],"model":[22,143],"based":[23],"on":[24,109],"image":[25],"deep":[27],"migration":[28],"learning":[29],"to":[30,85,99,115,130],"address":[31],"these":[32,153],"problems.":[33,154],"The":[34,138],"single-day":[35],"characteristics":[36],"of":[37,61,90,124,134],"users":[38],"are":[39],"modeled":[40],"transformed":[42],"into":[43],"grayscale":[44],"images,":[45],"which":[46],"not":[47],"only":[48],"retain":[49],"enough":[50],"multivariate":[51],"user":[52,68],"behavior":[53,117],"data,":[54,69],"but":[55],"also":[56],"allow":[57],"for":[58,151],"intuitive":[59],"analysis":[60],"the":[62,72,82,88,101,110,132,135],"correlations":[63],"between":[64],"behaviors.":[65],"To":[66],"process":[67],"we":[70],"use":[71],"traditional":[73],"oversampling":[74],"method,":[75],"SMOTE":[76,83],"(Synthetic":[77],"Minority":[78],"Oversampling":[79],"Technique),":[80],"algorithm":[84],"ensure":[86],"that":[87,141],"number":[89],"positive":[91],"negative":[93],"samples":[94],"is":[95,113],"balanced.":[96],"In":[97],"order":[98],"increase":[100],"network\u2019s":[102],"generalization":[103],"capacity,":[104],"residual":[106],"network":[107],"pre-trained":[108],"ImageNet":[111],"dataset":[112],"applied":[114],"employee":[116],"have":[120],"performed":[121],"series":[123],"experiments":[125],"with":[126],"publicly":[127],"available":[128],"datasets":[129],"access":[131],"performance":[133],"proposed":[136],"scheme.":[137],"results":[139],"show":[140],"this":[142],"performs":[144],"exceptionally":[145],"well":[146],"in":[147],"resolving":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
