{"id":"https://openalex.org/W4389155027","doi":"https://doi.org/10.1145/3630049.3630169","title":"Optimizing Honeypot Placement Strategies with Graph Neural Networks for Enhanced Resilience via Cyber Deception","display_name":"Optimizing Honeypot Placement Strategies with Graph Neural Networks for Enhanced Resilience via Cyber Deception","publication_year":2023,"publication_date":"2023-11-29","ids":{"openalex":"https://openalex.org/W4389155027","doi":"https://doi.org/10.1145/3630049.3630169"},"language":"en","primary_location":{"id":"doi:10.1145/3630049.3630169","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3630049.3630169","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd on Graph Neural Networking Workshop 2023","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3630049.3630169","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091025459","display_name":"Mohamed Nawab Mohamed Osman","orcid":"https://orcid.org/0009-0000-9171-8955"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohamed Osman","raw_affiliation_strings":["Virginia Commonwealth University, Richmond, VA, USA"],"raw_orcid":"https://orcid.org/0009-0000-9171-8955","affiliations":[{"raw_affiliation_string":"Virginia Commonwealth University, Richmond, VA, USA","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058067329","display_name":"Tamer Nadeem","orcid":"https://orcid.org/0000-0003-3249-1978"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tamer Nadeem","raw_affiliation_strings":["Virginia Commonwealth University, Richmond, VA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3249-1978","affiliations":[{"raw_affiliation_string":"Virginia Commonwealth University, Richmond, VA, USA","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085420490","display_name":"Ahmed Hemida","orcid":"https://orcid.org/0000-0001-8907-3043"},"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"]},{"id":"https://openalex.org/I2802705668","display_name":"United States Army Combat Capabilities Development Command","ror":"https://ror.org/02rdkx920","country_code":"US","type":"other","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Hemida","raw_affiliation_strings":["DEVCOM Army Research Laboratory, Adelphi, MD, USA"],"raw_orcid":"https://orcid.org/0000-0001-8907-3043","affiliations":[{"raw_affiliation_string":"DEVCOM Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128","https://openalex.org/I2802705668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090126029","display_name":"Charles Kamhoua","orcid":"https://orcid.org/0000-0003-2169-5975"},"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"]},{"id":"https://openalex.org/I2802705668","display_name":"United States Army Combat Capabilities Development Command","ror":"https://ror.org/02rdkx920","country_code":"US","type":"other","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles Kamhoua","raw_affiliation_strings":["DEVCOM Army Research Laboratory, Adelphi, MD, USA"],"raw_orcid":"https://orcid.org/0000-0003-2169-5975","affiliations":[{"raw_affiliation_string":"DEVCOM Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128","https://openalex.org/I2802705668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091025459"],"corresponding_institution_ids":["https://openalex.org/I184840846"],"apc_list":null,"apc_paid":null,"fwci":0.9838,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78018071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9995999932289124,"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":0.9995999932289124,"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/T10734","display_name":"Information and Cyber Security","score":0.9988999962806702,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/deception","display_name":"Deception","score":0.75083327293396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.730464518070221},{"id":"https://openalex.org/keywords/honeypot","display_name":"Honeypot","score":0.6967252492904663},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.645889163017273},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5436988472938538},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4836376905441284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4737478196620941},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4724683463573456},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.45065969228744507},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44242382049560547},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.42469555139541626},{"id":"https://openalex.org/keywords/financial-fraud","display_name":"Financial fraud","score":0.4237896203994751},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.4194217622280121},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.4103265702724457},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3959386348724365},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.36467084288597107},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3279486298561096},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.13283178210258484},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1270875334739685}],"concepts":[{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.75083327293396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730464518070221},{"id":"https://openalex.org/C191267431","wikidata":"https://www.wikidata.org/wiki/Q911932","display_name":"Honeypot","level":2,"score":0.6967252492904663},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.645889163017273},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5436988472938538},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4836376905441284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4737478196620941},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4724683463573456},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.45065969228744507},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44242382049560547},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.42469555139541626},{"id":"https://openalex.org/C2985140798","wikidata":"https://www.wikidata.org/wiki/Q28813","display_name":"Financial fraud","level":2,"score":0.4237896203994751},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.4194217622280121},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.4103265702724457},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3959386348724365},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.36467084288597107},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3279486298561096},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.13283178210258484},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1270875334739685},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3630049.3630169","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3630049.3630169","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd on Graph Neural Networking Workshop 2023","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3630049.3630169","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3630049.3630169","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd on Graph Neural Networking Workshop 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G3303813002","display_name":null,"funder_award_id":"2212424","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2047784240","https://openalex.org/W2110908300","https://openalex.org/W2116341502","https://openalex.org/W2120942677","https://openalex.org/W2913338075","https://openalex.org/W2963398124","https://openalex.org/W3002529007","https://openalex.org/W3013160592","https://openalex.org/W3036843665","https://openalex.org/W3130028789","https://openalex.org/W3177795942","https://openalex.org/W4312327146","https://openalex.org/W4315629661","https://openalex.org/W4315630143","https://openalex.org/W4387882832"],"related_works":["https://openalex.org/W2350724208","https://openalex.org/W2000018903","https://openalex.org/W3142690625","https://openalex.org/W1534090575","https://openalex.org/W2360866534","https://openalex.org/W2372392697","https://openalex.org/W4312961703","https://openalex.org/W2362932354","https://openalex.org/W2391396896","https://openalex.org/W2998623387"],"abstract_inverted_index":{"In":[0],"the":[1,42,71,77],"ever-evolving":[2],"realm":[3],"of":[4,44,56,73,84],"cybersecurity,":[5],"strategic":[6],"honeypot":[7,28],"placement":[8],"is":[9],"pivotal":[10],"for":[11],"enhanced":[12],"network":[13],"deception.":[14],"This":[15],"paper":[16],"introduces":[17],"a":[18,80,91],"novel":[19],"approach,":[20],"leveraging":[21],"Graph":[22,59,64],"Neural":[23],"Networks":[24],"(GNNs),":[25],"to":[26,41,103],"optimize":[27],"placements,":[29],"outstripping":[30],"traditional":[31],"game-theoretic":[32,74],"methods.":[33],"Traditional":[34],"techniques":[35],"often":[36],"face":[37],"computational":[38],"inefficiencies":[39],"due":[40],"\"curse":[43],"dimensionality\"":[45],"in":[46],"complex":[47],"dynamic":[48],"environments.":[49],"Our":[50],"GNN":[51,88],"model,":[52],"through":[53],"extensive":[54],"exploration":[55],"architectures":[57],"including":[58],"Attention":[60],"Transformers":[61],"(GAT)":[62],"and":[63,101],"Transformer":[65],"models,":[66],"showcases":[67],"superior":[68],"performance.":[69],"With":[70],"integration":[72],"edge":[75],"features,":[76],"model":[78],"achieves":[79],"remarkable":[81],"test":[82],"accuracy":[83],"92.34%.":[85],"Additionally,":[86],"our":[87],"solution":[89],"provides":[90],"139x":[92],"inference":[93],"speedup":[94],"over":[95],"classical":[96],"methods,":[97],"underpinning":[98],"its":[99],"efficiency":[100],"potential":[102],"revolutionize":[104],"cybersecurity":[105],"strategies.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
