{"id":"https://openalex.org/W4327907096","doi":"https://doi.org/10.1145/3539811.3579559","title":"A Lightweight Abnormality Detection Mechanism by Stray Packets Analysis","display_name":"A Lightweight Abnormality Detection Mechanism by Stray Packets Analysis","publication_year":2023,"publication_date":"2023-03-20","ids":{"openalex":"https://openalex.org/W4327907096","doi":"https://doi.org/10.1145/3539811.3579559"},"language":"en","primary_location":{"id":"doi:10.1145/3539811.3579559","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539811.3579559","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 ACM SIGUCCS Annual Conference","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/A5101656959","display_name":"Yong Jin","orcid":"https://orcid.org/0000-0003-2967-5557"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yong Jin","raw_affiliation_strings":["Tokyo Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038782868","display_name":"Satoshi Matsuura","orcid":"https://orcid.org/0000-0001-8529-5116"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Matsuura","raw_affiliation_strings":["Tokyo Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058950992","display_name":"Takao Kondo","orcid":"https://orcid.org/0000-0003-3572-9304"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takao Kondo","raw_affiliation_strings":["Keio University, Japan"],"affiliations":[{"raw_affiliation_string":"Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041532441","display_name":"Tatsumi Hosokawa","orcid":"https://orcid.org/0000-0002-8711-7310"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsumi Hosokawa","raw_affiliation_strings":["Keio University, Japan"],"affiliations":[{"raw_affiliation_string":"Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054448019","display_name":"Masahiko Tomoishi","orcid":"https://orcid.org/0000-0001-5636-7774"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiko Tomoishi","raw_affiliation_strings":["Tokyo Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101656959"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03528502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9936000108718872,"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":0.9936000108718872,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9789999723434448,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9660999774932861,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.785285234451294},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.7254989743232727},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.607865035533905},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.5533233284950256},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5526285767555237},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5144303441047668},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4353660047054291},{"id":"https://openalex.org/keywords/deep-packet-inspection","display_name":"Deep packet inspection","score":0.42733627557754517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1175146996974945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785285234451294},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.7254989743232727},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.607865035533905},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.5533233284950256},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5526285767555237},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5144303441047668},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4353660047054291},{"id":"https://openalex.org/C204679922","wikidata":"https://www.wikidata.org/wiki/Q734252","display_name":"Deep packet inspection","level":3,"score":0.42733627557754517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1175146996974945},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539811.3579559","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539811.3579559","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 ACM SIGUCCS Annual Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4243456421","https://openalex.org/W4247543202","https://openalex.org/W2417397217","https://openalex.org/W2355857550","https://openalex.org/W3093256375","https://openalex.org/W1841421040","https://openalex.org/W2381288267","https://openalex.org/W2155469080","https://openalex.org/W3160314615","https://openalex.org/W2299887038"],"abstract_inverted_index":{"An":[0],"academic":[1],"organization":[2],"network,":[3,7],"e.g.,":[4,94],"a":[5,85,100,109,127],"campus":[6],"is":[8],"running":[9],"with":[10],"limited":[11],"financial":[12],"support":[13],"and":[14,23,34,54,71,154,164],"manpower":[15],"while":[16],"it":[17],"faces":[18],"the":[19,30,39,62,67,76,116,123,131,140,143,152,162],"same":[20],"operational":[21],"issues":[22],"cybersecurity":[24],"threats":[25],"as":[26,45],"other":[27],"organizations.":[28],"Including":[29],"existing":[31,144],"network":[32,64],"facilities":[33],"computers":[35],"for":[36],"service":[37],"providing,":[38],"increase":[40],"of":[41,52,79,142,156,166],"mobile":[42],"devices":[43],"such":[44],"BYOD":[46],"becomes":[47],"an":[48],"issue":[49],"in":[50,119],"terms":[51],"misconfiguration":[53],"vulnerabilities.":[55],"The":[56],"current":[57],"security":[58,145],"systems":[59],"focus":[60],"on":[61,104],"backbone":[63],"so":[65],"that":[66],"detailed":[68],"traffic":[69],"monitoring":[70,115],"data":[72],"analysis":[73],"cannot":[74],"cover":[75],"abnormal":[77,92,132],"behavior":[78,133],"all":[80],"individual":[81],"endpoints.":[82],"In":[83,147],"general,":[84],"misconfigured":[86],"or":[87],"intruded":[88],"computer":[89],"conducts":[90],"some":[91],"behavior,":[93],"sending":[95],"stray":[96,117],"packets,":[97],"compared":[98],"to":[99,121],"normal":[101],"device.":[102],"Based":[103],"this":[105,148],"point,":[106],"we":[107,150],"propose":[108],"lightweight":[110],"abnormality":[111],"detection":[112],"mechanism":[113],"by":[114],"packets":[118],"order":[120],"mitigate":[122],"above":[124],"issues.":[125],"As":[126],"result,":[128],"not":[129],"only":[130],"can":[134],"be":[135],"detected":[136],"but":[137],"also":[138],"maintain":[139],"performance":[141],"systems.":[146],"paper,":[149],"describe":[151],"design":[153],"architecture":[155],"our":[157,167],"proposed":[158],"\u2018Traffic":[159],"Analyzer\u2019,":[160],"including":[161],"implementation":[163],"evaluation":[165],"prototype":[168],"system.":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}