{"id":"https://openalex.org/W4406459492","doi":"https://doi.org/10.1109/bigdata62323.2024.10825610","title":"Knowledge Injection of Structural CyberSecurity Concept into Large Language Models","display_name":"Knowledge Injection of Structural CyberSecurity Concept into Large Language Models","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459492","doi":"https://doi.org/10.1109/bigdata62323.2024.10825610"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5115904743","display_name":"Tung-Jui Hsieh","orcid":null},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tung-Jui Hsieh","raw_affiliation_strings":["National Chengchi University,Dept. of Management Information Systems,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chengchi University,Dept. of Management Information Systems,Taipei,Taiwan","institution_ids":["https://openalex.org/I87354575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021041793","display_name":"Y. D. Yao","orcid":"https://orcid.org/0000-0003-4130-2067"},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yun-Cheng Yao","raw_affiliation_strings":["National Chengchi University,Dept. of Management Information Systems,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chengchi University,Dept. of Management Information Systems,Taipei,Taiwan","institution_ids":["https://openalex.org/I87354575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022953646","display_name":"Shun-Wen Hsiao","orcid":"https://orcid.org/0000-0003-0780-8144"},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shun-Wen Hsiao","raw_affiliation_strings":["National Chengchi University,Dept. of Management Information Systems,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chengchi University,Dept. of Management Information Systems,Taipei,Taiwan","institution_ids":["https://openalex.org/I87354575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115904743"],"corresponding_institution_ids":["https://openalex.org/I87354575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23085995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8671","last_page":"8673"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9919000267982483,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9919000267982483,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9440000057220459,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9409999847412109,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7166516184806824},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5125603675842285}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7166516184806824},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5125603675842285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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":12,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W3168867926","https://openalex.org/W3176724088","https://openalex.org/W4361229539","https://openalex.org/W4383221315","https://openalex.org/W4385245566","https://openalex.org/W4389520370","https://openalex.org/W4393138529","https://openalex.org/W6726873649","https://openalex.org/W6796581206","https://openalex.org/W6851948999","https://openalex.org/W6862412920"],"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],"study":[1],"presents":[2],"a":[3,23,65,85],"novel":[4],"approach":[5],"to":[6,34,54],"enhance":[7,55,103],"Large":[8],"Language":[9],"Models\u2019":[10],"(LLMs)":[11],"capabilities":[12],"in":[13,39,106],"cybersecurity":[14],"analysis":[15],"through":[16,81],"two":[17],"main":[18],"methods.":[19],"First,":[20],"we":[21,63],"propose":[22],"Structure-guided":[24],"Enhancement":[25],"Network":[26],"that":[27,69],"leverages":[28],"Finite":[29],"State":[30],"Machine":[31],"(FSM)":[32],"representations":[33],"guide":[35],"the":[36,56,78],"attention":[37,57],"mechanism":[38,49],"processing":[40],"API":[41,60,74],"call":[42,75],"sequences":[43,76],"for":[44,89],"malware":[45,80],"classification.":[46],"The":[47],"guided-attention":[48],"integrates":[50],"structural":[51,97],"FSM":[52],"features":[53],"computation":[58],"on":[59],"sequences.":[61],"Second,":[62],"develop":[64],"Multi-modal":[66],"Fusion":[67],"System":[68],"aligns":[70],"assembly":[71],"code":[72],"and":[73,99],"from":[77],"same":[79],"cross-attention":[82],"mechanisms,":[83],"creating":[84],"shared":[86],"latent":[87],"space":[88],"improved":[90],"context":[91],"generation.":[92],"Our":[93],"research":[94],"demonstrates":[95],"how":[96],"guidance":[98],"multi-modal":[100],"fusion":[101],"can":[102],"LLMs\u2019":[104],"performance":[105],"cybersecurity-specific":[107],"tasks.":[108]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}