{"id":"https://openalex.org/W1974393756","doi":"https://doi.org/10.1007/s00779-012-0628-9","title":"Efficient location aware intrusion detection to protect mobile devices","display_name":"Efficient location aware intrusion detection to protect mobile devices","publication_year":2013,"publication_date":"2013-01-16","ids":{"openalex":"https://openalex.org/W1974393756","doi":"https://doi.org/10.1007/s00779-012-0628-9","mag":"1974393756"},"language":"en","primary_location":{"id":"doi:10.1007/s00779-012-0628-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00779-012-0628-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00779-012-0628-9.pdf","source":{"id":"https://openalex.org/S58126648","display_name":"Personal and Ubiquitous Computing","issn_l":"1617-4909","issn":["1617-4909","1617-4917"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Personal and Ubiquitous Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00779-012-0628-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039497756","display_name":"Sausan Yazji","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sausan Yazji","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, 60208, USA","EECS Department, Northwestern University, Evanston, USA 60208#TAB#"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, 60208, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, USA 60208#TAB#","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031838897","display_name":"Peter Scheuermann","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Scheuermann","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, 60208, USA","EECS Department, Northwestern University, Evanston, USA 60208#TAB#"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, 60208, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, USA 60208#TAB#","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068224304","display_name":"Robert P. Dick","orcid":"https://orcid.org/0000-0001-5428-9530"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert P. Dick","raw_affiliation_strings":["EECS Department, University of Michigan, Ann Arbor, MI, 48109, USA","EECS Department, University of Michigan, Ann Arbor, USA 48109#TAB#"],"affiliations":[{"raw_affiliation_string":"EECS Department, University of Michigan, Ann Arbor, MI, 48109, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"EECS Department, University of Michigan, Ann Arbor, USA 48109#TAB#","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086447943","display_name":"Goce Trajcevski","orcid":"https://orcid.org/0000-0002-8839-6278"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Goce Trajcevski","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, 60208, USA","EECS Department, Northwestern University, Evanston, USA 60208#TAB#"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, 60208, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, USA 60208#TAB#","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103270436","display_name":"Ruoming Jin","orcid":"https://orcid.org/0000-0003-1895-4243"},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruoming Jin","raw_affiliation_strings":["CS Department, Kent State University, Kent, OH, 44242, USA","CS Department, Kent State University, Kent, USA 44242#TAB#"],"affiliations":[{"raw_affiliation_string":"CS Department, Kent State University, Kent, OH, 44242, USA","institution_ids":["https://openalex.org/I149910238"]},{"raw_affiliation_string":"CS Department, Kent State University, Kent, USA 44242#TAB#","institution_ids":["https://openalex.org/I149910238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039497756"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":6.543,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.95644397,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"18","issue":"1","first_page":"143","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.992900013923645,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8705240488052368},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6480207443237305},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5988829731941223},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5609021782875061},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4975445568561554},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4458846151828766},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.43445098400115967},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4303133487701416},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.4276292026042938},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37493956089019775},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20770564675331116},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09030425548553467}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8705240488052368},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6480207443237305},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5988829731941223},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5609021782875061},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4975445568561554},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4458846151828766},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.43445098400115967},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4303133487701416},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.4276292026042938},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37493956089019775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20770564675331116},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09030425548553467},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00779-012-0628-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00779-012-0628-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00779-012-0628-9.pdf","source":{"id":"https://openalex.org/S58126648","display_name":"Personal and Ubiquitous Computing","issn_l":"1617-4909","issn":["1617-4909","1617-4917"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Personal and Ubiquitous Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00779-012-0628-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00779-012-0628-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00779-012-0628-9.pdf","source":{"id":"https://openalex.org/S58126648","display_name":"Personal and Ubiquitous Computing","issn_l":"1617-4909","issn":["1617-4909","1617-4917"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Personal and Ubiquitous Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1189145433","display_name":null,"funder_award_id":"0910952","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2258394369","display_name":"CSR-PDOS: Optimizing the Client/Server Environment Subject to User Satisfaction","funder_award_id":"0720691","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3043797401","display_name":"TC: Medium: Collaborative Research: WHISPER - Wireless, Handheld, Infrastructureless, Secure Communication System for the Prevention of Eavesdropping and Reprisal","funder_award_id":"0964545","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4622209295","display_name":null,"funder_award_id":"910952","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8583978669","display_name":"CAREER: Analysis, Design, and Synthesis of High-Performance, Low-Power, Real-Time Embedded Systems","funder_award_id":"0347941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1974393756.pdf","grobid_xml":"https://content.openalex.org/works/W1974393756.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W176847460","https://openalex.org/W1488678234","https://openalex.org/W1496553157","https://openalex.org/W1564831185","https://openalex.org/W1573613494","https://openalex.org/W1626398438","https://openalex.org/W1973217014","https://openalex.org/W1977314396","https://openalex.org/W1982300822","https://openalex.org/W2000623017","https://openalex.org/W2011968383","https://openalex.org/W2015378554","https://openalex.org/W2071975324","https://openalex.org/W2074907959","https://openalex.org/W2094227382","https://openalex.org/W2096170970","https://openalex.org/W2102098892","https://openalex.org/W2105378351","https://openalex.org/W2106046226","https://openalex.org/W2113969010","https://openalex.org/W2116075922","https://openalex.org/W2117742206","https://openalex.org/W2118429038","https://openalex.org/W2120900307","https://openalex.org/W2122646361","https://openalex.org/W2133286823","https://openalex.org/W2136317921","https://openalex.org/W2140251882","https://openalex.org/W2151464060","https://openalex.org/W2154358621","https://openalex.org/W2166692930","https://openalex.org/W2406867978","https://openalex.org/W2517092547","https://openalex.org/W2527605720","https://openalex.org/W2913730761","https://openalex.org/W2914184934","https://openalex.org/W2971301549","https://openalex.org/W4253654031"],"related_works":["https://openalex.org/W2161444195","https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2589019771","https://openalex.org/W2355007334","https://openalex.org/W2985540061","https://openalex.org/W2185012154","https://openalex.org/W2390009783","https://openalex.org/W4254602698","https://openalex.org/W2987148180"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,14,28,33,44,48,58,67,83,87,90,110,119],"problem":[4],"of":[5,32,51,60,70,86,89,124],"efficient":[6],"intrusion":[7,128],"detection":[8],"for":[9,26],"mobile":[10],"devices":[11],"via":[12],"correlating":[13],"user\u2019s":[15,92],"location":[16],"and":[17,43,113,132],"time":[18],"data.":[19],"We":[20,94],"developed":[21],"two":[22],"statistical":[23],"profiling":[24],"approaches":[25],"modeling":[27],"normal":[29,68,91],"spatio\u2013temporal":[30],"behavior":[31,69],"users:":[34],"one":[35],"based":[36,46,108],"on":[37,47,109],"an":[38],"empirical":[39],"cumulative":[40],"probability":[41,59],"measure":[42],"other":[45],"Markov":[49],"properties":[50],"trajectories.":[52],"An":[53],"anomaly":[54],"is":[55,122],"detected":[56],"when":[57],"a":[61,71,77,126],"particular":[62],"(location,":[63],"time)":[64],"evolution":[65],"matching":[66],"given":[72],"user":[73],"becomes":[74],"lower":[75],"than":[76],"certain":[78],"threshold,":[79],"determined":[80],"by":[81],"controlling":[82],"recall":[84],"rate":[85],"model":[88],"behavior.":[93],"used":[95],"compression":[96],"techniques":[97],"to":[98],"reduce":[99],"processing":[100],"overhead":[101],"while":[102],"maintaining":[103],"high":[104],"accuracy.":[105,136],"Our":[106],"evaluation":[107],"Reality":[111],"Mining":[112],"Geolife":[114],"data":[115],"sets":[116],"shows":[117],"that":[118],"proposed":[120],"system":[121],"capable":[123],"detecting":[125],"potential":[127],"within":[129],"15":[130],"min":[131],"with":[133],"94":[134],"%":[135]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}