{"id":"https://openalex.org/W2964229821","doi":"https://doi.org/10.1109/allerton.2014.7028482","title":"Botnet detection using social graph analysis","display_name":"Botnet detection using social graph analysis","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2964229821","doi":"https://doi.org/10.1109/allerton.2014.7028482","mag":"2964229821"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2014.7028482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2014.7028482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)","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/A5101984165","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-9653-7253"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Division of Systems Engineering, Boston University, Boston, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Systems Engineering, Boston University, Boston, MA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075696701","display_name":"Ioannis Ch. Paschalidis","orcid":"https://orcid.org/0000-0002-3343-2913"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ioannis Ch. Paschalidis","raw_affiliation_strings":["Dept. of Electrical & Computer Eng., Boston University, Boston, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Eng., Boston University, Boston, MA","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.47,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.68442544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"393","last_page":"400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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":0.9954000115394592,"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/botnet","display_name":"Botnet","score":0.9539415836334229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7818076610565186},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.6883863806724548},{"id":"https://openalex.org/keywords/command-and-control","display_name":"Command and control","score":0.5617931485176086},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.518279492855072},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4940033555030823},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4815702438354492},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4419928789138794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3345223665237427},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23700100183486938},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.18517211079597473},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08944135904312134}],"concepts":[{"id":"https://openalex.org/C22735295","wikidata":"https://www.wikidata.org/wiki/Q317671","display_name":"Botnet","level":3,"score":0.9539415836334229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7818076610565186},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.6883863806724548},{"id":"https://openalex.org/C506615639","wikidata":"https://www.wikidata.org/wiki/Q21662260","display_name":"Command and control","level":2,"score":0.5617931485176086},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.518279492855072},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4940033555030823},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4815702438354492},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4419928789138794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3345223665237427},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23700100183486938},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.18517211079597473},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08944135904312134},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/allerton.2014.7028482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2014.7028482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)","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":41,"referenced_works":["https://openalex.org/W47988595","https://openalex.org/W123401891","https://openalex.org/W229097380","https://openalex.org/W309670289","https://openalex.org/W1462349742","https://openalex.org/W1583098994","https://openalex.org/W1852048826","https://openalex.org/W1875112053","https://openalex.org/W1981589225","https://openalex.org/W1985625141","https://openalex.org/W1991315500","https://openalex.org/W1999613943","https://openalex.org/W2000408784","https://openalex.org/W2015953751","https://openalex.org/W2016381774","https://openalex.org/W2044881936","https://openalex.org/W2057504236","https://openalex.org/W2059120410","https://openalex.org/W2061455058","https://openalex.org/W2089458547","https://openalex.org/W2095189226","https://openalex.org/W2098509290","https://openalex.org/W2109726592","https://openalex.org/W2116892075","https://openalex.org/W2119854419","https://openalex.org/W2125050594","https://openalex.org/W2128366083","https://openalex.org/W2169270715","https://openalex.org/W2255526384","https://openalex.org/W2331606197","https://openalex.org/W2949195487","https://openalex.org/W4232197359","https://openalex.org/W4246098931","https://openalex.org/W4301258660","https://openalex.org/W6601890406","https://openalex.org/W6604917381","https://openalex.org/W6608852248","https://openalex.org/W6610951566","https://openalex.org/W6628628164","https://openalex.org/W6634779276","https://openalex.org/W6685179926"],"related_works":["https://openalex.org/W2898126008","https://openalex.org/W86804927","https://openalex.org/W1583098994","https://openalex.org/W2386447999","https://openalex.org/W2130216882","https://openalex.org/W2091214382","https://openalex.org/W2376288852","https://openalex.org/W2100671106","https://openalex.org/W2364035342","https://openalex.org/W2061455058"],"abstract_inverted_index":{"Signature-based":[0],"botnet":[1,36,116],"detection":[2,37,54,72,125,142],"methods":[3],"identify":[4],"botnets":[5,18],"by":[6],"recognizing":[7],"Command":[8],"and":[9,13,22,69,94,118,135],"Control":[10],"(C&C)":[11],"traffic":[12,117],"can":[14],"be":[15],"ineffective":[16],"for":[17,25,103],"that":[19,39,130],"use":[20],"new":[21],"sophisticate":[23],"mechanisms":[24],"such":[26],"communications.":[27,85],"To":[28],"address":[29],"these":[30],"limitations,":[31],"we":[32],"propose":[33],"a":[34,74,90,99],"novel":[35],"method":[38,47,113],"analyzes":[40],"the":[41,66,96,136,141],"social":[42,75],"relationships":[43],"among":[44,59],"nodes.":[45],"The":[46,86,127],"consists":[48],"of":[49],"two":[50],"stages:":[51],"(i)":[52],"anomaly":[53],"in":[55,73],"an":[56],"\"interaction\"":[57],"graph":[58,77],"nodes":[60,81],"using":[61],"large":[62],"deviations":[63],"results":[64,128],"on":[65],"degree":[67],"distribution,":[68],"(ii)":[70],"community":[71,124],"\"correlation\"":[76],"whose":[78],"edges":[79],"connect":[80],"with":[82,122],"highly":[83],"correlated":[84],"latter":[87],"stage":[88],"uses":[89],"refined":[91,137],"modularity":[92,138],"measure":[93,139],"formulates":[95],"problem":[97,102],"as":[98],"non-convex":[100],"optimization":[101],"which":[104],"appropriate":[105],"relaxation":[106],"strategies":[107],"are":[108],"developed.":[109],"We":[110],"apply":[111],"our":[112,131],"to":[114],"real-world":[115],"compare":[119],"its":[120],"performance":[121],"other":[123],"methods.":[126],"show":[129],"approach":[132],"works":[133],"effectively":[134],"improves":[140],"accuracy.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
