{"id":"https://openalex.org/W2566483531","doi":"https://doi.org/10.1109/milcom.2016.7795419","title":"An experimental exploration of the impact of sensor-level packet loss on network intrusion detection","display_name":"An experimental exploration of the impact of sensor-level packet loss on network intrusion detection","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2566483531","doi":"https://doi.org/10.1109/milcom.2016.7795419","mag":"2566483531"},"language":"en","primary_location":{"id":"doi:10.1109/milcom.2016.7795419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom.2016.7795419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2016 - 2016 IEEE Military Communications 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/A5057397733","display_name":"Sidney C. Smith","orcid":"https://orcid.org/0000-0003-1398-307X"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sidney C Smith","raw_affiliation_strings":["Computational and Information Sciences Directorate, Army Research Laboratory, MD, USA"],"affiliations":[{"raw_affiliation_string":"Computational and Information Sciences Directorate, Army Research Laboratory, MD, USA","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017657808","display_name":"Robert J. Hammell","orcid":null},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert J Hammell","raw_affiliation_strings":["Department of Computer and Information Sciences, Towson University, Towson, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Towson University, Towson, MD, USA","institution_ids":["https://openalex.org/I4322298"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057397733"],"corresponding_institution_ids":["https://openalex.org/I166416128"],"apc_list":null,"apc_paid":null,"fwci":0.5791,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7378066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"24","issue":null,"first_page":"752","last_page":"757"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9959999918937683,"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"}},{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9851999878883362,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7750370502471924},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6679847240447998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6617723703384399},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.6149733662605286},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.556127667427063},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5500513315200806},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.46662816405296326},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4222787320613861},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41030097007751465},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3447176218032837},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22336000204086304},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1476580798625946}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7750370502471924},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6679847240447998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6617723703384399},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.6149733662605286},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.556127667427063},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5500513315200806},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.46662816405296326},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4222787320613861},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41030097007751465},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3447176218032837},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22336000204086304},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1476580798625946},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/milcom.2016.7795419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom.2016.7795419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2016 - 2016 IEEE Military Communications Conference","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":20,"referenced_works":["https://openalex.org/W150171385","https://openalex.org/W158061484","https://openalex.org/W1531237901","https://openalex.org/W1534529312","https://openalex.org/W1674877186","https://openalex.org/W1964903133","https://openalex.org/W2038972394","https://openalex.org/W2055200763","https://openalex.org/W2063101769","https://openalex.org/W2114123573","https://openalex.org/W2125905843","https://openalex.org/W2140334656","https://openalex.org/W2162405374","https://openalex.org/W2283084594","https://openalex.org/W4285719527","https://openalex.org/W6606168359","https://openalex.org/W6606458114","https://openalex.org/W6632037986","https://openalex.org/W6637096788","https://openalex.org/W7074240486"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W2906422846","https://openalex.org/W2390009783","https://openalex.org/W4234808182","https://openalex.org/W2133389611","https://openalex.org/W3199712142"],"abstract_inverted_index":{"In":[0],"this":[1,100],"paper":[2],"we":[3],"consider":[4],"the":[5,44,66,72,80,93,116,124,129,172],"problem":[6],"of":[7,46,82,95,167],"sensor-level":[8],"packet":[9,130],"loss":[10,126,131],"(SLPL)":[11],"as":[12],"it":[13],"applies":[14],"to":[15,31,35,38,55,59,78,91,114,137,147,160,164],"network":[16,49,119],"intrusion":[17,50,120],"detection.":[18,121],"We":[19,68,84,107,122,133,142],"explore":[20,92],"2":[21],"research":[22,169],"questions:":[23],"1)":[24],"Is":[25,43],"there":[26],"sufficient":[27],"regularity":[28],"in":[29,171],"SLPL":[30,47],"allow":[32,56],"an":[33],"algorithm":[34],"be":[36,60],"developed":[37,61,69],"model":[39],"it?":[40],"and":[41,70,89,98,112,153],"2)":[42],"impact":[45,94,101,117],"on":[48,118],"detection":[51],"performance":[52],"sufficiently":[53],"regular":[54],"a":[57,149],"formula":[58,150],"that":[62],"will":[63],"accurately":[64],"predict":[65],"effect?":[67],"validated":[71],"Pcapreplay":[73,88,111],"program,":[74],"which":[75],"allowed":[76],"us":[77,163],"characterize":[79],"manifestation":[81],"SLPL.":[83],"conducted":[85,108],"experiments":[86,109],"using":[87,110],"Snort":[90,113],"SLPL.We":[96],"graphed":[97,123],"analyzed":[99],"against":[102,128],"our":[103,138,168],"previous":[104,139],"theoretical":[105,140],"work.":[106,141],"measure":[115],"alert":[125],"rate":[127],"rate.":[132],"compared":[134],"these":[135],"graphs":[136],"used":[143],"nonlinear":[144],"regression":[145],"analysis":[146],"produce":[148],"with":[151],"r-squared":[152,156],"reduced":[154],"adjusted":[155],"values":[157],"close":[158],"enough":[159],"1":[161],"for":[162],"answer":[165],"both":[166],"questions":[170],"affirmative.":[173]},"counts_by_year":[{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}