{"id":"https://openalex.org/W3085152401","doi":"https://doi.org/10.1109/dsc50466.2020.9194468","title":"Clustering Using a Similarity Measure Approach Based on Semantic Analysis of Adversary Behaviors","display_name":"Clustering Using a Similarity Measure Approach Based on Semantic Analysis of Adversary Behaviors","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3085152401","doi":"https://doi.org/10.1109/dsc50466.2020.9194468","mag":"3085152401"},"language":"en","primary_location":{"id":"doi:10.1109/dsc50466.2020.9194468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsc50466.2020.9194468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100390311","display_name":"Wenhao Wang","orcid":"https://orcid.org/0000-0002-0867-4582"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Wang","raw_affiliation_strings":["Science and Technology on Information\nSystems Engineering Laboratory,\nCollege of Electronic Engineering\nNational University of Defense\nTechnology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information\nSystems Engineering Laboratory,\nCollege of Electronic Engineering\nNational University of Defense\nTechnology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019064096","display_name":"BenFu Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"BenFu Tang","raw_affiliation_strings":["Graduate School,\nNational Defense Technology\nBeijing, China","Graduate School, National Defense Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School,\nNational Defense Technology\nBeijing, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Graduate School, National Defense Technology, Beijing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102000314","display_name":"Cheng Zhu","orcid":"https://orcid.org/0000-0003-0217-6782"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Zhu","raw_affiliation_strings":["Science and Technology on Information\nSystems Engineering Laboratory\nNational University of Defense\nTechnology\nChangsha, China","Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology Changsha, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information\nSystems Engineering Laboratory\nNational University of Defense\nTechnology\nChangsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology Changsha, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395586","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0003-3031-9592"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["Science and Technology on Information\nSystems Engineering Laboratory\nNational University of Defense\nTechnology\nChangsha, China","Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology Changsha, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information\nSystems Engineering Laboratory\nNational University of Defense\nTechnology\nChangsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology Changsha, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103221123","display_name":"Aiping Li","orcid":"https://orcid.org/0000-0003-3335-0093"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiping Li","raw_affiliation_strings":["College of Computer,\nNational University of Defense\nTechnology\nChangsha, China","College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer,\nNational University of Defense\nTechnology\nChangsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012085281","display_name":"Zhaoyun Ding","orcid":"https://orcid.org/0000-0002-7167-5801"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyun Ding","raw_affiliation_strings":["Science and Technology on Information\nSystems Engineering Laboratory\nNational University of Defense\nTechnology\nChangsha, China","Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology Changsha, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information\nSystems Engineering Laboratory\nNational University of Defense\nTechnology\nChangsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology Changsha, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.988099992275238,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7516173124313354},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7420825362205505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7169142961502075},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6760063171386719},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6361637115478516},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6209563612937927},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5549873113632202},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4427809715270996},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.43259188532829285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4283912777900696},{"id":"https://openalex.org/keywords/intelligence-analysis","display_name":"Intelligence analysis","score":0.426929771900177},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32537543773651123},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13359832763671875}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7516173124313354},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7420825362205505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7169142961502075},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6760063171386719},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6361637115478516},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6209563612937927},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5549873113632202},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4427809715270996},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.43259188532829285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4283912777900696},{"id":"https://openalex.org/C517642484","wikidata":"https://www.wikidata.org/wiki/Q2388514","display_name":"Intelligence analysis","level":2,"score":0.426929771900177},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32537543773651123},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13359832763671875},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsc50466.2020.9194468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsc50466.2020.9194468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC)","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":11,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W2005098805","https://openalex.org/W2022282596","https://openalex.org/W2045283972","https://openalex.org/W2061796027","https://openalex.org/W2069153192","https://openalex.org/W2117831564","https://openalex.org/W2145343266","https://openalex.org/W2640631472","https://openalex.org/W3133897466","https://openalex.org/W3186276894"],"related_works":["https://openalex.org/W2319693127","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W2176214140","https://openalex.org/W2790658443","https://openalex.org/W2778382471","https://openalex.org/W2516873349","https://openalex.org/W1940044583"],"abstract_inverted_index":{"Rapidly":[0],"growing":[1],"shared":[2],"information":[3],"for":[4,31],"threat":[5,51],"intelligence":[6,52],"not":[7],"only":[8],"helps":[9],"security":[10],"analysts":[11],"reduce":[12],"time":[13],"on":[14,23,76],"tracking":[15],"attacks,":[16],"but":[17],"also":[18],"bring":[19],"possibilities":[20],"to":[21,55,67,95,116],"research":[22],"adversaries'":[24],"thinking":[25],"and":[26,38,47,59,89,126],"decisions,":[27],"which":[28],"is":[29],"important":[30],"the":[32,69,77,132],"further":[33],"analysis":[34],"of":[35,72,86,113,134],"attackers'":[36],"habits":[37],"preferences.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,80,110],"analyze":[44],"current":[45],"models":[46],"frameworks":[48],"used":[49],"in":[50],"that":[53,123],"suited":[54],"different":[56,101],"modeling":[57],"goals,":[58],"propose":[60],"a":[61,82,91],"three-layer":[62],"model":[63],"(Goal,":[64],"Behavior,":[65],"Capability)":[66],"study":[68],"statistical":[70],"characteristics":[71],"APT":[73,135],"groups.":[74,105,136],"Based":[75],"proposed":[78],"model,":[79],"construct":[81],"knowledge":[83],"network":[84],"composed":[85],"adversary":[87],"behaviors,":[88],"introduce":[90],"similarity":[92,97,108],"measure":[93],"approach":[94],"capture":[96],"degree":[98],"by":[99,130],"considering":[100],"semantic":[102],"links":[103],"between":[104],"After":[106],"calculating":[107],"degrees,":[109],"take":[111],"advantage":[112],"Girvan-Newman":[114],"algorithm":[115],"discover":[117],"community":[118,124],"groups,":[119],"clustering":[120],"result":[121],"shows":[122],"structures":[125],"boundaries":[127],"do":[128],"exist":[129],"analyzing":[131],"behavior":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}