{"id":"https://openalex.org/W4413679723","doi":"https://doi.org/10.1109/csr64739.2025.11129983","title":"Abstract Attack Intention Inference Using Low-Rank Gated Arithmetic Interactive Attention","display_name":"Abstract Attack Intention Inference Using Low-Rank Gated Arithmetic Interactive Attention","publication_year":2025,"publication_date":"2025-08-04","ids":{"openalex":"https://openalex.org/W4413679723","doi":"https://doi.org/10.1109/csr64739.2025.11129983"},"language":"en","primary_location":{"id":"doi:10.1109/csr64739.2025.11129983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr64739.2025.11129983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Cyber Security and Resilience (CSR)","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/A5044642989","display_name":"Wanrong Yang","orcid":"https://orcid.org/0000-0003-0216-3762"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Wanrong Yang","raw_affiliation_strings":["University of Liverpool,Department of Computer Sciences,Liverpool,UK"],"affiliations":[{"raw_affiliation_string":"University of Liverpool,Department of Computer Sciences,Liverpool,UK","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001561421","display_name":"Manhui Wang","orcid":"https://orcid.org/0000-0003-1253-3368"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Manhui Wang","raw_affiliation_strings":["University of Liverpool,IT Services,Liverpool,UK"],"affiliations":[{"raw_affiliation_string":"University of Liverpool,IT Services,Liverpool,UK","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001234060","display_name":"Dominik Wojtczak","orcid":"https://orcid.org/0000-0001-5560-0546"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dominik Wojtczak","raw_affiliation_strings":["University of Liverpool,Department of Computer Sciences,Liverpool,UK"],"affiliations":[{"raw_affiliation_string":"University of Liverpool,Department of Computer Sciences,Liverpool,UK","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044642989"],"corresponding_institution_ids":["https://openalex.org/I146655781"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12913719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"166","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9976999759674072,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9976999759674072,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9925000071525574,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9810000061988831,"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/arithmetic","display_name":"Arithmetic","score":0.665240466594696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6498640179634094},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5965309143066406},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.531399130821228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3187721371650696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22450309991836548},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07412150502204895}],"concepts":[{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.665240466594696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6498640179634094},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5965309143066406},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.531399130821228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3187721371650696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22450309991836548},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07412150502204895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csr64739.2025.11129983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr64739.2025.11129983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Cyber Security and Resilience (CSR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320313467","display_name":"Alan Turing Institute","ror":"https://ror.org/035dkdb55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1916906602","https://openalex.org/W2012568697","https://openalex.org/W2018793106","https://openalex.org/W2099940443","https://openalex.org/W2103378897","https://openalex.org/W2104692292","https://openalex.org/W2142411122","https://openalex.org/W2296509296","https://openalex.org/W2783741806","https://openalex.org/W2789828921","https://openalex.org/W2799758613","https://openalex.org/W2898085636","https://openalex.org/W2919868916","https://openalex.org/W2949676527","https://openalex.org/W2963748489","https://openalex.org/W2982670607","https://openalex.org/W2982682021","https://openalex.org/W2995305419","https://openalex.org/W3002827238","https://openalex.org/W3006526650","https://openalex.org/W3009195050","https://openalex.org/W3035366542","https://openalex.org/W3094495145","https://openalex.org/W3139482648","https://openalex.org/W3162956350","https://openalex.org/W3185895012","https://openalex.org/W3202428668","https://openalex.org/W4226191810","https://openalex.org/W4286648677","https://openalex.org/W4288061065","https://openalex.org/W4313201183","https://openalex.org/W4382281941","https://openalex.org/W4384557563","https://openalex.org/W4385245566","https://openalex.org/W4385814430","https://openalex.org/W4386815359","https://openalex.org/W4387458640","https://openalex.org/W4387849412","https://openalex.org/W4390299918","https://openalex.org/W4392151675","https://openalex.org/W4393336635","https://openalex.org/W4394565348","https://openalex.org/W4394629246","https://openalex.org/W4400418777","https://openalex.org/W4400424457"],"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":{"Internal":[0],"attack":[1,19,56,116,130,144,172],"originated":[2],"from":[3,148],"devices":[4,151],"in":[5,21,118],"internet":[6,22,43],"of":[7,23,44,54,73,77,90,110,128,152,154,167],"things":[8,24,45],"network":[9,46],"is":[10,83],"an":[11,28],"essential":[12],"security":[13],"threat.":[14],"We":[15],"defined":[16],"the":[17,40,75,88,97,126,134,142,149],"abstract":[18,55,115,129,143],"intention":[20,131,173],"network,":[25,156],"and":[26,69,133],"proposed":[27,91,114,125,135],"extended,":[29],"interactive":[30,136],"attention":[31,99,137,161],"based":[32,42,100,162,171],"deep":[33],"architecture,":[34],"that":[35,146],"can":[36,139],"be":[37],"trained":[38],"on":[39],"tabular":[41,169],"traffic":[47],"data":[48,170],"to":[49,85],"precisely":[50],"identify":[51,141],"4":[52],"kinds":[53],"intentions":[57,117,145],"including":[58],"disable":[59],"target":[60],"devices,":[61],"gathering":[62],"intelligence":[63],"for":[64,165],"attacks,":[65],"get":[66],"unauthorized":[67],"access":[68],"normal":[70],"traffic,":[71],"instead":[72],"predicting":[74],"type":[76],"specific":[78],"attacks.":[79],"A":[80],"latest":[81],"dataset":[82],"used":[84],"comprehensively":[86],"evaluate":[87],"performance":[89,106],"methods.":[92],"And":[93],"by":[94],"comparing":[95],"with":[96,107],"current":[98],"methods,":[101],"our":[102],"model":[103,164],"shows":[104],"state-of-the-art":[105],"overall":[108],"accuracy":[109],"93.63%":[111],"across":[112],"all":[113],"independent":[119],"validation.":[120],"To":[121],"conclude,":[122],"we":[123],"have":[124],"idea":[127],"inference,":[132],"framework":[138],"effectively":[140],"deriving":[147],"internal":[150],"Internet":[153,166],"Things":[155,168],"showcasing":[157],"as":[158],"a":[159],"new":[160],"baseline":[163],"inference.":[174]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}