{"id":"https://openalex.org/W7123948399","doi":"https://doi.org/10.1109/iscc65549.2025.11325785","title":"DarkDC:Analysis of Scanning Behavior Subject Portrait Based on Deep Clustering","display_name":"DarkDC:Analysis of Scanning Behavior Subject Portrait Based on Deep Clustering","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W7123948399","doi":"https://doi.org/10.1109/iscc65549.2025.11325785"},"language":null,"primary_location":{"id":"doi:10.1109/iscc65549.2025.11325785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc65549.2025.11325785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Symposium on Computers and Communications (ISCC)","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/A5103818191","display_name":"X. L. Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Ji","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122919070","display_name":"Yixiang Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yixiang Zhao","raw_affiliation_strings":["ByteDance,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122980893","display_name":"Zhou Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Zhou","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101862835","display_name":"Zhongyi Zhang","orcid":"https://orcid.org/0000-0002-1322-0999"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyi Zhang","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122953266","display_name":"Qingyun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyun Liu","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jiang Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Guo","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"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":0.63746972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.6371999979019165,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.6371999979019165,"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"}},{"id":"https://openalex.org/T10734","display_name":"Information and Cyber Security","score":0.04580000042915344,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.029600000008940697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7013000249862671},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.40130001306533813},{"id":"https://openalex.org/keywords/3d-scanning","display_name":"3d scanning","score":0.40119999647140503},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.39739999175071716},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.39410001039505005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34940001368522644},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.3370000123977661}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7013000249862671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5971999764442444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5795999765396118},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5139999985694885},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.40130001306533813},{"id":"https://openalex.org/C3019493240","wikidata":"https://www.wikidata.org/wiki/Q94701573","display_name":"3d scanning","level":2,"score":0.40119999647140503},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.39739999175071716},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.39410001039505005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.3370000123977661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3147999942302704},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C141571065","wikidata":"https://www.wikidata.org/wiki/Q1771949","display_name":"Performance measurement","level":2,"score":0.25859999656677246}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc65549.2025.11325785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc65549.2025.11325785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1465790424","https://openalex.org/W1566772816","https://openalex.org/W2020735245","https://openalex.org/W2131681506","https://openalex.org/W2165533158","https://openalex.org/W2276275567","https://openalex.org/W2295124130","https://openalex.org/W2768883253","https://openalex.org/W2883725317","https://openalex.org/W2899670782","https://openalex.org/W2981181114","https://openalex.org/W3034576826","https://openalex.org/W3087124270","https://openalex.org/W3160032723","https://openalex.org/W4205227697","https://openalex.org/W4292692470","https://openalex.org/W4312739050","https://openalex.org/W4367847704","https://openalex.org/W4381744558","https://openalex.org/W4389474103"],"related_works":[],"abstract_inverted_index":{"The":[0],"rapid":[1],"development":[2],"of":[3,9,18,52,76,90,115,153,156],"Internet":[4],"technology":[5],"and":[6,36,64,79,106,129,134,146,148],"the":[7,10,15,25,66,73,81,88,101,108,113,120],"complexity":[8],"network":[11,26,67,82],"environment":[12],"lead":[13],"to":[14,24,31,47,62,71,111],"continuous":[16],"evolution":[17],"scanning":[19,53,68,131,137,140,157],"technology,":[20],"bringing":[21],"new":[22],"challenges":[23],"security":[27,77,83],"defense.":[28],"In":[29],"order":[30],"effectively":[32],"explore":[33],"potential":[34],"threats":[35],"provide":[37],"reference":[38],"for":[39],"future":[40],"attack":[41],"prevention,":[42],"it":[43],"is":[44],"particularly":[45],"important":[46],"build":[48],"an":[49,150],"accurate":[50],"portrait":[51],"behavior.":[54,158],"This":[55],"paper":[56,126],"introduces":[57],"a":[58,91],"deep":[59,94],"clustering-based":[60],"method":[61],"identify":[63],"analyze":[65],"behavior,":[69],"aiming":[70],"improve":[72,80],"analysis":[74,152],"efficiency":[75],"personnel":[78],"defense":[84],"capability.":[85],"We":[86],"evaluate":[87],"effect":[89],"contrast":[92],"learning-based":[93],"clustering":[95,122],"model":[96],"using":[97],"experimental":[98],"comparison":[99],"with":[100,143],"Japanese":[102],"NICT":[103],"Network":[104],"Telescope,":[105],"use":[107],"contour":[109],"coefficient":[110],"measure":[112],"quality":[114],"class":[116,132],"clusters":[117,133],"obtained":[118],"by":[119],"two-stage":[121],"strategy.":[123],"Furthermore,":[124],"this":[125],"studies":[127],"identified":[128],"unknown":[130],"conjecture":[135],"their":[136],"purpose,":[138],"identifies":[139],"activities":[141],"associated":[142],"well-known":[144],"services":[145],"vulnerabilities,":[147],"provides":[149],"in-depth":[151],"different":[154],"aspects":[155]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-14T00:00:00"}
