{"id":"https://openalex.org/W7159028311","doi":"https://doi.org/10.48550/arxiv.2604.26094","title":"GenDetect: Generalizing Reactive Detection for Resilience Against Imitative DeFi Attack Cascade","display_name":"GenDetect: Generalizing Reactive Detection for Resilience Against Imitative DeFi Attack Cascade","publication_year":2026,"publication_date":"2026-04-28","ids":{"openalex":"https://openalex.org/W7159028311","doi":"https://doi.org/10.48550/arxiv.2604.26094"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.26094","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26094","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.26094","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134915366","display_name":"Bowen Cai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Bowen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134913563","display_name":"Weiheng Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Weiheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082091466","display_name":"Youshui Lu","orcid":"https://orcid.org/0000-0002-6598-7606"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Youshui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134888044","display_name":"Haoran Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Haoran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134903675","display_name":"Yuannan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yuannan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088790914","display_name":"Yajin Zhou","orcid":"https://orcid.org/0000-0001-7610-4736"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yajin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043198742","display_name":"Kangjie Lu","orcid":"https://orcid.org/0000-0002-4763-7354"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Kangjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.27320000529289246,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.27320000529289246,"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":0.1282999962568283,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.08020000159740448,"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/exploit","display_name":"Exploit","score":0.7972000241279602},{"id":"https://openalex.org/keywords/cryptographic-nonce","display_name":"Cryptographic nonce","score":0.6359000205993652},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5436999797821045},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.522599995136261},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41510000824928284},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.34929999709129333},{"id":"https://openalex.org/keywords/adept","display_name":"Adept","score":0.34860000014305115},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.34459999203681946}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7972000241279602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7609000205993652},{"id":"https://openalex.org/C9996903","wikidata":"https://www.wikidata.org/wiki/Q1749235","display_name":"Cryptographic nonce","level":3,"score":0.6359000205993652},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5436999797821045},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.522599995136261},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.49639999866485596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43619999289512634},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41510000824928284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3521000146865845},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.34929999709129333},{"id":"https://openalex.org/C2776904630","wikidata":"https://www.wikidata.org/wiki/Q356336","display_name":"Adept","level":3,"score":0.34860000014305115},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.34459999203681946},{"id":"https://openalex.org/C65856478","wikidata":"https://www.wikidata.org/wiki/Q3991682","display_name":"Attack model","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.334199994802475},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C2780741293","wikidata":"https://www.wikidata.org/wiki/Q4818019","display_name":"Attack patterns","level":3,"score":0.3077000081539154},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.26094","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26094","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.26094","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26094","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"blockchain":[1],"ecosystems":[2],"grow,":[3],"financially":[4],"motivated":[5],"attackers":[6],"increasingly":[7],"exploit":[8,46],"decentralized":[9],"finance":[10],"(DeFi)":[11],"protocols,":[12],"causing":[13],"frequent":[14],"and":[15,29,124,182,220,238,251],"severe":[16],"losses.":[17],"Unlike":[18],"conventional":[19],"cyberattacks,":[20],"DeFi":[21,71,201],"exploits":[22],"propagate":[23],"rapidly":[24,158],"due":[25],"to":[26,77,137,142],"the":[27,86,168,175,196,245],"transparent":[28],"composable":[30],"nature":[31,198],"of":[32,70,85,177,199,207],"smart":[33],"contracts.":[34],"We":[35,166,191],"identify":[36],"a":[37,91,129,152],"critical":[38],"pattern,":[39],"Imitative":[40],"Attack":[41],"Cascade:":[42],"an":[43,146,161],"initial":[44,87],"successful":[45],"is":[47,141],"quickly":[48],"followed":[49],"by":[50,216],"mimicking":[51],"transactions":[52],"that":[53,67,133,144],"reuse":[54],"attack":[55,147,222],"logic":[56,186,215],"with":[57],"minor":[58],"modifications":[59],"or":[60,83],"parameter":[61],"changes.":[62],"Our":[63,139],"empirical":[64],"analysis":[65,127],"shows":[66],"over":[68],"69%":[69],"attacks":[72,99,136,243],"exhibit":[73],"strong":[74],"behavioral":[75],"similarity":[76],"earlier":[78],"incidents,":[79],"often":[80],"within":[81],"hours":[82],"days":[84],"attack.":[88],"This":[89],"exposes":[90],"fundamental":[92],"limitation":[93],"in":[94,187],"current":[95],"reactive":[96],"detection.":[97],"Initial":[98],"are":[100],"typically":[101],"flagged":[102],"via":[103],"heuristic":[104],"alerts":[105],"(Tornado":[106],"Cash":[107],"traces,":[108],"anomalous":[109],"nonce":[110],"usage,":[111],"exploiter":[112],"labels),":[113],"but":[114],"turning":[115],"these":[116],"signals":[117],"into":[118,160,170],"detection":[119,164],"rules":[120],"requires":[121],"manual":[122],"validation":[123],"handcrafted":[125],"trace":[126],"--":[128],"labor-intensive,":[130],"slow":[131],"process":[132],"leaves":[134],"follow-up":[135],"spread.":[138],"goal":[140],"ensure":[143],"once":[145],"has":[148],"been":[149],"observed,":[150],"even":[151],"single":[153],"instance,":[154],"it":[155],"can":[156],"be":[157],"abstracted":[159],"actionable,":[162],"generalizable":[163],"rule.":[165],"decompose":[167],"problem":[169],"two":[171,193],"challenges:":[172],"(I)":[173],"abstracting":[174],"semantics":[176],"diverse,":[178],"obscure":[179],"function":[180,208],"signatures,":[181],"(II)":[183],"matching":[184],"transaction":[185],"noisy,":[188],"evasive":[189],"traces.":[190],"leverage":[192],"insights:":[194],"(i)":[195],"open-source":[197],"most":[200],"protocols":[202],"enables":[203],"high-fidelity":[204],"semantic":[205],"classification":[206],"signatures;":[209],"(ii)":[210],"contract":[211],"labels":[212],"isolate":[213],"essential":[214],"filtering":[217],"irrelevant":[218],"calls":[219],"classifying":[221],"intent.":[223],"Building":[224],"on":[225],"these,":[226],"we":[227],"develop":[228],"GenDetect,":[229],"which":[230],"achieves":[231],"ACC":[232],"98%,":[233],"FPR":[234],"1%,":[235],"FNR":[236],"3%":[237],"discovers":[239],"56":[240],"previously":[241],"unrevealed":[242],"from":[244],"past":[246],"three":[247],"years.":[248],"Source":[249],"code":[250],"dataset:":[252],"https://github.com/NobodyIsAnonymous/GenDetect_ICSE2026":[253]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-01T00:00:00"}
