{"id":"https://openalex.org/W4414022678","doi":"https://doi.org/10.3390/jcp5030067","title":"Predicting Cybersecurity Incidents via Self-Reported Behavioral and Psychological Indicators: A Stratified Logistic Regression Approach","display_name":"Predicting Cybersecurity Incidents via Self-Reported Behavioral and Psychological Indicators: A Stratified Logistic Regression Approach","publication_year":2025,"publication_date":"2025-09-04","ids":{"openalex":"https://openalex.org/W4414022678","doi":"https://doi.org/10.3390/jcp5030067"},"language":"en","primary_location":{"id":"doi:10.3390/jcp5030067","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jcp5030067","pdf_url":"https://www.mdpi.com/2624-800X/5/3/67/pdf?version=1756986344","source":{"id":"https://openalex.org/S4210232532","display_name":"Journal of Cybersecurity and Privacy","issn_l":"2624-800X","issn":["2624-800X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cybersecurity and Privacy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2624-800X/5/3/67/pdf?version=1756986344","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049610809","display_name":"L\u00e1szl\u00f3 Bogn\u00e1r","orcid":"https://orcid.org/0000-0003-4623-8404"},"institutions":[{"id":"https://openalex.org/I96221595","display_name":"University of Duna\u00fajv\u00e1ros","ror":"https://ror.org/05x0g9h76","country_code":"HU","type":"education","lineage":["https://openalex.org/I96221595"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"L\u00e1szl\u00f3 Bogn\u00e1r","raw_affiliation_strings":["Department of Information Technology, University of Duna\u00fajv\u00e1ros, 2400 Duna\u00fajv\u00e1ros, Hungary"],"raw_orcid":"https://orcid.org/0000-0003-4623-8404","affiliations":[{"raw_affiliation_string":"Department of Information Technology, University of Duna\u00fajv\u00e1ros, 2400 Duna\u00fajv\u00e1ros, Hungary","institution_ids":["https://openalex.org/I96221595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049610809"],"corresponding_institution_ids":["https://openalex.org/I96221595"],"apc_list":{"value":1000,"currency":"CHF","value_usd":1207},"apc_paid":{"value":1000,"currency":"CHF","value_usd":1207},"fwci":5.2349,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.9568035,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"5","issue":"3","first_page":"67","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10734","display_name":"Information and Cyber Security","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10734","display_name":"Information and Cyber Security","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9646000266075134,"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/logistic-regression","display_name":"Logistic regression","score":0.7896856069564819},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4847430884838104},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4743068218231201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36691713333129883},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.36328747868537903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09917524456977844}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7896856069564819},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4847430884838104},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4743068218231201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36691713333129883},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.36328747868537903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09917524456977844}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/jcp5030067","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jcp5030067","pdf_url":"https://www.mdpi.com/2624-800X/5/3/67/pdf?version=1756986344","source":{"id":"https://openalex.org/S4210232532","display_name":"Journal of Cybersecurity and Privacy","issn_l":"2624-800X","issn":["2624-800X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cybersecurity and Privacy","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a6ce4347417a4171849a00cf7b5561ba","is_oa":true,"landing_page_url":"https://doaj.org/article/a6ce4347417a4171849a00cf7b5561ba","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Cybersecurity and Privacy, Vol 5, Iss 3, p 67 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/jcp5030067","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jcp5030067","pdf_url":"https://www.mdpi.com/2624-800X/5/3/67/pdf?version=1756986344","source":{"id":"https://openalex.org/S4210232532","display_name":"Journal of Cybersecurity and Privacy","issn_l":"2624-800X","issn":["2624-800X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cybersecurity and Privacy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414022678.pdf","grobid_xml":"https://content.openalex.org/works/W4414022678.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1536398137","https://openalex.org/W1602619638","https://openalex.org/W1964088509","https://openalex.org/W1980854746","https://openalex.org/W1997689646","https://openalex.org/W2009661351","https://openalex.org/W2033213440","https://openalex.org/W2035189362","https://openalex.org/W2054826977","https://openalex.org/W2073241381","https://openalex.org/W2080575891","https://openalex.org/W2096748949","https://openalex.org/W2105717202","https://openalex.org/W2111093795","https://openalex.org/W2132254598","https://openalex.org/W2134716446","https://openalex.org/W2143391962","https://openalex.org/W2160449652","https://openalex.org/W2164710706","https://openalex.org/W2291072898","https://openalex.org/W2537669654","https://openalex.org/W2557778508","https://openalex.org/W2560034573","https://openalex.org/W2729876077","https://openalex.org/W2770273620","https://openalex.org/W2779206865","https://openalex.org/W2796098074","https://openalex.org/W2898553810","https://openalex.org/W2945437145","https://openalex.org/W2946747224","https://openalex.org/W3004742816","https://openalex.org/W3006556904","https://openalex.org/W3030593508","https://openalex.org/W3086835247","https://openalex.org/W3116565634","https://openalex.org/W3126221315","https://openalex.org/W3126431024","https://openalex.org/W3166620705","https://openalex.org/W4210406407","https://openalex.org/W4244985803","https://openalex.org/W4289885552","https://openalex.org/W4361208106","https://openalex.org/W4385372344","https://openalex.org/W4391365412","https://openalex.org/W4393339061","https://openalex.org/W4399155135","https://openalex.org/W4405980977","https://openalex.org/W4408945417","https://openalex.org/W4409282133","https://openalex.org/W4409620298","https://openalex.org/W4410005144","https://openalex.org/W4413953628"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0,99],"study":[1,186],"presents":[2],"a":[3,188],"novel":[4],"and":[5,17,29,57,73,94,116,160,182,201,207,213],"interpretable,":[6],"deployment-ready":[7],"framework":[8],"for":[9,96,191],"predicting":[10],"cybersecurity":[11],"incidents":[12],"through":[13],"item-level":[14,178],"behavioral,":[15],"cognitive,":[16],"dispositional":[18],"indicators.":[19],"Based":[20],"on":[21,61,88],"survey":[22],"data":[23],"from":[24,149],"453":[25],"professionals":[26],"across":[27,37],"countries":[28],"sectors,":[30],"we":[31,156],"developed":[32],"72":[33],"logistic":[34],"regression":[35],"models":[36,77],"twelve":[38],"self-reported":[39],"incident":[40],"outcomes\u2014from":[41],"account":[42],"lockouts":[43],"to":[44,210],"full":[45,58,80],"device":[46],"compromise\u2014within":[47],"six":[48],"analytically":[49],"stratified":[50,103],"layers":[51],"(Education,":[52],"IT,":[53],"Hungary,":[54],"UK,":[55],"USA,":[56],"sample).":[59],"Drawing":[60],"five":[62],"theoretically":[63],"grounded":[64,168],"domains\u2014cybersecurity":[65],"behavior,":[66],"digital":[67,220],"literacy,":[68],"personality":[69],"traits,":[70],"risk":[71,202],"rationalization,":[72],"work\u2013life":[74],"boundary":[75],"blurring\u2014our":[76],"preserve":[78],"the":[79,129,142,196,205],"granularity":[81],"of":[82,163],"individual":[83],"responses":[84],"rather":[85],"than":[86],"relying":[87],"aggregated":[89],"scores,":[90],"offering":[91,204],"rare":[92],"transparency":[93],"interpretability":[95],"real-world":[97],"applications.":[98],"approach":[100],"reveals":[101],"how":[102],"models,":[104,135],"despite":[105],"smaller":[106],"sample":[107],"sizes,":[108],"often":[109],"outperform":[110],"general":[111],"ones":[112],"by":[113],"capturing":[114],"behavioral":[115,199],"contextual":[117],"specificity.":[118],"Moderately":[119],"prevalent":[120],"outcomes":[121],"(e.g.,":[122],"suspicious":[123],"logins,":[124],"multiple":[125],"mild":[126],"incidents)":[127],"yielded":[128],"most":[130],"robust":[131],"predictions,":[132],"while":[133],"rare-event":[134],"though":[136],"occasionally":[137],"high":[138],"in":[139,170,217],"\u201cArea":[140],"Under":[141],"Receiver":[143],"Operating":[144],"Characteristic":[145],"Curve\u201d":[146],"(AUC),":[147],"suffered":[148],"overfitting":[150],"under":[151],"cross-validation.":[152],"Beyond":[153],"model":[154],"construction,":[155],"introduce":[157],"threshold":[158],"calibration":[159],"fairness-aware":[161],"integration":[162],"demographic":[164],"variables,":[165],"enabling":[166],"ethically":[167],"deployment":[169],"diverse":[171],"organizational":[172],"contexts.":[173],"By":[174],"unifying":[175],"theoretical":[176],"depth,":[177],"precision,":[179],"multilayer":[180],"stratification,":[181],"operational":[183],"guidance,":[184],"this":[185],"establishes":[187],"scalable":[189],"blueprint":[190],"human-centric":[192],"cybersecurity.":[193],"It":[194],"bridges":[195],"gap":[197],"between":[198],"science":[200],"analytics,":[203],"tools":[206],"insights":[208],"needed":[209],"detect,":[211],"predict,":[212],"mitigate":[214],"user-level":[215],"threats":[216],"increasingly":[218],"blurred":[219],"environments.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2025-10-10T00:00:00"}
