{"id":"https://openalex.org/W3094062842","doi":"https://doi.org/10.1145/3424978.3425098","title":"A DoS Attack Detection Method Based on Multi-source Data Fusion","display_name":"A DoS Attack Detection Method Based on Multi-source Data Fusion","publication_year":2020,"publication_date":"2020-10-15","ids":{"openalex":"https://openalex.org/W3094062842","doi":"https://doi.org/10.1145/3424978.3425098","mag":"3094062842"},"language":"en","primary_location":{"id":"doi:10.1145/3424978.3425098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3424978.3425098","pdf_url":null,"source":{"id":"https://openalex.org/S4306523839","display_name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","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/A5101607323","display_name":"Kaiyuan Chen","orcid":"https://orcid.org/0009-0000-6514-6885"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyuan Chen","raw_affiliation_strings":["Institute of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101553858","display_name":"Lize Gu","orcid":"https://orcid.org/0000-0002-2534-7532"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lize Gu","raw_affiliation_strings":["Institute of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089952792","display_name":"Jiaxuan Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxuan Sun","raw_affiliation_strings":["Institute of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.989300012588501,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9878000020980835,"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":0.7289748191833496},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5246365666389465},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.45199304819107056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24528497457504272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7289748191833496},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5246365666389465},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.45199304819107056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24528497457504272},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3424978.3425098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3424978.3425098","pdf_url":null,"source":{"id":"https://openalex.org/S4306523839","display_name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","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":23,"referenced_works":["https://openalex.org/W1946461413","https://openalex.org/W1965103048","https://openalex.org/W1972062587","https://openalex.org/W1981276685","https://openalex.org/W2039708501","https://openalex.org/W2044776391","https://openalex.org/W2048196003","https://openalex.org/W2078410661","https://openalex.org/W2099940443","https://openalex.org/W2130372754","https://openalex.org/W2142733395","https://openalex.org/W2278186031","https://openalex.org/W2462353595","https://openalex.org/W2508613954","https://openalex.org/W2549585799","https://openalex.org/W2619516334","https://openalex.org/W2762776925","https://openalex.org/W2885908552","https://openalex.org/W2886413347","https://openalex.org/W2915969651","https://openalex.org/W2916262291","https://openalex.org/W2949935872","https://openalex.org/W4301347335"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039","https://openalex.org/W2145797872"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,87],"detection":[4],"method":[5,103,110],"for":[6],"DoS":[7,130],"attack":[8,131],"is":[9,55,86,111,123],"realized":[10],"by":[11,73],"combining":[12],"neural":[13,33],"network":[14,54],"and":[15,35,50,63,101],"D-S":[16,47,68],"evidence":[17,48,69],"theory.":[18],"The":[19],"basic":[20],"probability":[21],"assignment":[22],"(BPA)":[23],"value":[24],"of":[25,45,61,66,75,129],"various":[26],"attacks":[27],"can":[28],"be":[29,40],"acquired":[30,51],"through":[31],"BP":[32],"network,":[34],"then":[36],"final":[37],"result":[38,83],"will":[39],"obtained":[41,115],"with":[42,113],"the":[43,59,67,96,102,109,117],"assistance":[44],"improved":[46],"theory":[49,70],"BPA.":[52],"Neural":[53],"adopted":[56,104],"to":[57,79],"improve":[58],"acquisition":[60],"BPA,":[62],"combinational":[64],"rules":[65],"are":[71],"adjusted":[72],"means":[74],"Fuzzy":[76],"Support":[77],"Weighting":[78],"avoid":[80],"unreasonable":[81],"fusion":[82],"when":[84],"there":[85],"severe":[88],"or":[89],"complete":[90],"conflict":[91,99],"between":[92],"different":[93],"sources,":[94],"reducing":[95],"error":[97],"from":[98],"information":[100],"on":[105],"data":[106,114],"fusion.":[107],"Finally,":[108],"verified":[112],"in":[116,125],"experimental":[118],"environment,":[119],"proving":[120],"that":[121],"it":[122],"accurate":[124],"detecting":[126],"common":[127],"types":[128],"(such":[132],"as":[133],"Neptune,":[134],"Smurf":[135],"attack,":[136],"etc.).":[137]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
