{"id":"https://openalex.org/W2807241870","doi":"https://doi.org/10.1109/ispa/iucc.2017.00104","title":"Clustering Boundary Cutting for Packet Classification Based on Distribution Density","display_name":"Clustering Boundary Cutting for Packet Classification Based on Distribution Density","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2807241870","doi":"https://doi.org/10.1109/ispa/iucc.2017.00104","mag":"2807241870"},"language":"en","primary_location":{"id":"doi:10.1109/ispa/iucc.2017.00104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa/iucc.2017.00104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC)","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/A5048824835","display_name":"Xia-an Bi","orcid":"https://orcid.org/0000-0002-2715-3360"},"institutions":[{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]},{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xia-an Bi","raw_affiliation_strings":["College of Mathematics and Computer Science, Hunan Normal University, Changsha, P.R.China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Hunan Normal University, Changsha, P.R.China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051978289","display_name":"Yanwen Zhou","orcid":"https://orcid.org/0000-0003-3636-0123"},"institutions":[{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]},{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwen Zhou","raw_affiliation_strings":["College of Mathematics and Computer Science, Hunan Normal University, Changsha, P.R.China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Hunan Normal University, Changsha, P.R.China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101037251","display_name":"Jian-ping Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Yu","raw_affiliation_strings":["College of Mathematics and Computer Science, Hunan Normal University, Changsha, P.R.China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Hunan Normal University, Changsha, P.R.China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048824835"],"corresponding_institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"],"apc_list":null,"apc_paid":null,"fwci":0.2253,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55732825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"661","last_page":"666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.9961000084877014,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9829000234603882,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8138716220855713},{"id":"https://openalex.org/keywords/trie","display_name":"Trie","score":0.7894184589385986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7287039756774902},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5395618677139282},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5029005408287048},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.49185848236083984},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4685937464237213},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4586498737335205},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43299269676208496},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.42644545435905457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38441261649131775},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.2309960126876831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2169835865497589},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19106915593147278},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08517634868621826}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8138716220855713},{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.7894184589385986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7287039756774902},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5395618677139282},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5029005408287048},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.49185848236083984},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4685937464237213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4586498737335205},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43299269676208496},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.42644545435905457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38441261649131775},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2309960126876831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2169835865497589},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19106915593147278},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08517634868621826},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa/iucc.2017.00104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa/iucc.2017.00104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5600000023841858}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1587464373","https://openalex.org/W1913716032","https://openalex.org/W2006384571","https://openalex.org/W2041877573","https://openalex.org/W2042648226","https://openalex.org/W2045448645","https://openalex.org/W2045565585","https://openalex.org/W2059670140","https://openalex.org/W2063773589","https://openalex.org/W2066523742","https://openalex.org/W2076751090","https://openalex.org/W2080085622","https://openalex.org/W2095535996","https://openalex.org/W2105349886","https://openalex.org/W2129377647","https://openalex.org/W2139751271","https://openalex.org/W2143377393","https://openalex.org/W2150702922","https://openalex.org/W2169188889","https://openalex.org/W2184166373","https://openalex.org/W2524739942","https://openalex.org/W4243943037","https://openalex.org/W6651848012","https://openalex.org/W6674179974","https://openalex.org/W6686151224","https://openalex.org/W6727055087"],"related_works":["https://openalex.org/W104884668","https://openalex.org/W2120071517","https://openalex.org/W3112332783","https://openalex.org/W2406489341","https://openalex.org/W2344797854","https://openalex.org/W2113746559","https://openalex.org/W2080508516","https://openalex.org/W180471195","https://openalex.org/W2029271007","https://openalex.org/W1521051179"],"abstract_inverted_index":{"In":[0,26],"this":[1],"paper,":[2],"we":[3],"present":[4],"the":[5,15,27,38,56,59,63,66,76,88,102,113],"clustering":[6,41],"boundary":[7],"cutting":[8],"trie":[9,23,89],"algorithm":[10,107,123],"in":[11,21,68,81],"order":[12],"to":[13,55,72],"solve":[14],"problem":[16],"of":[17,58,65,105,116],"huge":[18],"time":[19,104],"consumption":[20],"existing":[22],"based":[24,92],"algorithms.":[25],"proposed":[28],"solution,":[29],"there":[30],"are":[31,45,79],"two":[32],"stages.":[33],"The":[34,43,84,118],"first":[35],"stage":[36,86],"is":[37,87,137],"density-based":[39],"rule":[40],"process.":[42],"rules":[44,67,78],"represented":[46],"as":[47,129,131],"a":[48,69,73,82],"range":[49,70],"between":[50],"0":[51],"and":[52,111,135],"1":[53],"according":[54],"prefixes":[57],"packet":[60,99],"fields.":[61],"When":[62],"number":[64],"reaches":[71],"certain":[74],"density,":[75],"corresponding":[77],"formed":[80],"cluster.":[83],"second":[85],"construction":[90],"process":[91],"on":[93],"these":[94],"clusters.":[95],"Compared":[96],"with":[97],"traditional":[98],"classification":[100],"algorithms,":[101],"searching":[103],"our":[106,122],"increases":[108],"by":[109],"47.05%-73.76%":[110],"keep":[112,126],"high":[114,127],"accuracy":[115,128],"69.83%-93.17%.":[117],"experiment":[119],"demonstrates":[120],"that":[121],"can":[124],"effectively":[125],"well":[130],"keeping":[132],"stable":[133],"high-throughput,":[134],"it":[136],"suitable":[138],"for":[139],"actual":[140],"deployment.":[141]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}