{"id":"https://openalex.org/W2520634815","doi":"https://doi.org/10.1109/icccn.2016.7568495","title":"Behavioral Modeling Intrusion Detection System (BMIDS) Using Internet of Things (IoT) Behavior-Based Anomaly Detection via Immunity-Inspired Algorithms","display_name":"Behavioral Modeling Intrusion Detection System (BMIDS) Using Internet of Things (IoT) Behavior-Based Anomaly Detection via Immunity-Inspired Algorithms","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2520634815","doi":"https://doi.org/10.1109/icccn.2016.7568495","mag":"2520634815"},"language":"en","primary_location":{"id":"doi:10.1109/icccn.2016.7568495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2016.7568495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 25th International Conference on Computer Communication and Networks (ICCCN)","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/A5068232036","display_name":"Briana Arrington","orcid":null},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Briana Arrington","raw_affiliation_strings":["Comput. Sci. Dept., NC A&T State Univ., Greensboro, NC, USA"],"affiliations":[{"raw_affiliation_string":"Comput. Sci. Dept., NC A&T State Univ., Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006865063","display_name":"LiEsa Barnett","orcid":null},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"LiEsa Barnett","raw_affiliation_strings":["Computer Science Department, NC A&T State University, Greensboro, NC, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, NC A&T State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081353338","display_name":"Rahmira Rufus","orcid":null},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahmira Rufus","raw_affiliation_strings":["Computer Science Department, NC A&T State University, Greensboro, NC, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, NC A&T State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033817976","display_name":"Albert Esterline","orcid":"https://orcid.org/0000-0001-8774-4456"},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Albert Esterline","raw_affiliation_strings":["Computer Science Department, NC A&T State University, Greensboro, NC, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, NC A&T State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068232036"],"corresponding_institution_ids":["https://openalex.org/I35777872"],"apc_list":null,"apc_paid":null,"fwci":4.001,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.93882672,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9437000155448914,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9269000291824341,"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":0.7491098046302795},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6714630126953125},{"id":"https://openalex.org/keywords/behavioral-modeling","display_name":"Behavioral modeling","score":0.602121889591217},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5925472974777222},{"id":"https://openalex.org/keywords/behavioral-pattern","display_name":"Behavioral pattern","score":0.5545300841331482},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5382475852966309},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.5092164278030396},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4076230525970459},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3439291715621948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32816141843795776},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.20033225417137146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7491098046302795},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6714630126953125},{"id":"https://openalex.org/C78639753","wikidata":"https://www.wikidata.org/wiki/Q3318160","display_name":"Behavioral modeling","level":2,"score":0.602121889591217},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5925472974777222},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.5545300841331482},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5382475852966309},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.5092164278030396},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4076230525970459},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3439291715621948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32816141843795776},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.20033225417137146},{"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/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccn.2016.7568495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2016.7568495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 25th International Conference on Computer Communication and Networks (ICCCN)","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":15,"referenced_works":["https://openalex.org/W1548964396","https://openalex.org/W1663140369","https://openalex.org/W1933657216","https://openalex.org/W2051017435","https://openalex.org/W2058657545","https://openalex.org/W2077373361","https://openalex.org/W2094729371","https://openalex.org/W2135848437","https://openalex.org/W2340685653","https://openalex.org/W2351425503","https://openalex.org/W2798741797","https://openalex.org/W3152303275","https://openalex.org/W6637062704","https://openalex.org/W6703782320","https://openalex.org/W6812632051"],"related_works":["https://openalex.org/W2152238375","https://openalex.org/W3088948716","https://openalex.org/W432535052","https://openalex.org/W4210491229","https://openalex.org/W4384559558","https://openalex.org/W4285612255","https://openalex.org/W2075878881","https://openalex.org/W2013973943","https://openalex.org/W2354206928","https://openalex.org/W2151997734"],"abstract_inverted_index":{"In":[0,23],"this":[1],"research,":[2],"a":[3,19,36,55,98,114],"real-world":[4],"simulation":[5,66,137],"service":[6],"uses":[7,45],"Internet":[8],"of":[9,81,91,100],"Things":[10],"(IoT)":[11],"capable":[12],"objects":[13],"to":[14,48,69,78,112,128],"detect":[15],"behavioral-based":[16],"anomalies":[17],"within":[18],"simulated":[20,106],"smart":[21,27],"home/vicinity.":[22],"the":[24,26,30,62,89,105,110,135,167,174],"simulation,":[25],"home":[28],"and":[29,71,129,143,162],"surrounding":[31],"world":[32,107],"are":[33],"monitored":[34],"with":[35,104,134],"behavioral":[37,51,83,118,121],"modeling":[38],"intrusion":[39],"detection":[40],"system":[41,125,132],"(BMIDS).":[42],"The":[43,65,85],"BMIDS":[44,86,136],"immunity-inspired":[46],"algorithms":[47],"distinguish":[49],"whether":[50],"patterns":[52],"extracted":[53],"match":[54],"desired":[56,63,168],"behavior":[57,169],"or":[58,177],"indicate":[59],"deviation":[60],"from":[61],"behavior.":[64,179],"is":[67,138],"used":[68],"monitor":[70],"scale":[72],"all":[73],"relevant":[74],"activity":[75,95],"in":[76],"order":[77],"verify":[79],"construction":[80],"accurate":[82],"models.":[84],"demonstrates":[87],"how":[88],"capture":[90],"IoT":[92],"sensor":[93],"data":[94],"concatenated":[96],"as":[97,171],"set":[99],"event":[101],"sequences":[102],"along":[103],"state":[108],"provide":[109],"components":[111],"establish":[113],"numerical":[115],"representation":[116],"for":[117,147],"identity.":[119],"Creating":[120],"models":[122],"via":[123],"pervasive":[124],"monitoring":[126,146,150],"prior":[127],"alongside":[130],"cyber-physical":[131],"experimentation":[133],"cost":[139],"efficient,":[140],"easily":[141],"verifiable":[142],"promotes":[144],"autonomous":[145],"an":[148],"autonomic":[149],"mechanism.":[151],"Also,":[152],"performance":[153],"measurements":[154],"can":[155],"be":[156],"scaled":[157],"more":[158],"accurately":[159],"during":[160],"qualitative":[161],"quantitative":[163],"analysis,":[164],"thus":[165],"producing":[166],"model":[170],"depicted":[172],"by":[173],"specified":[175],"scripted":[176],"non-scripted":[178]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":6}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
