{"id":"https://openalex.org/W7148373996","doi":"https://doi.org/10.1109/hipcw66559.2025.00091","title":"R2H: Rowhammer attack in presence of randomized LLC","display_name":"R2H: Rowhammer attack in presence of randomized LLC","publication_year":2025,"publication_date":"2025-12-17","ids":{"openalex":"https://openalex.org/W7148373996","doi":"https://doi.org/10.1109/hipcw66559.2025.00091"},"language":null,"primary_location":{"id":"doi:10.1109/hipcw66559.2025.00091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hipcw66559.2025.00091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 32nd International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5132774743","display_name":"Gaurav Gaurav","orcid":null},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gaurav Gaurav","raw_affiliation_strings":["Indian Institute of Technology Ropar,Department of Computer Science and Engineering,Punjab,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Ropar,Department of Computer Science and Engineering,Punjab,India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008627830","display_name":"Prathamesh Nitin Tanksale","orcid":null},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prathamesh Nitin Tanksale","raw_affiliation_strings":["Indian Institute of Technology Ropar,Department of Computer Science and Engineering,Punjab,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Ropar,Department of Computer Science and Engineering,Punjab,India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022266082","display_name":"Venkata Kalyan Tavva","orcid":"https://orcid.org/0000-0001-6596-2292"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venkata Kalyan Tavva","raw_affiliation_strings":["Indian Institute of Technology Ropar,Department of Computer Science and Engineering,Punjab,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Ropar,Department of Computer Science and Engineering,Punjab,India","institution_ids":["https://openalex.org/I119241673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I119241673"],"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":"273","last_page":"274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.11980000138282776,"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":0.11980000138282776,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.10450000315904617,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.10050000250339508,"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/power","display_name":"Power (physics)","score":0.33880001306533813},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2847999930381775},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.2759000062942505},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.24889999628067017}],"concepts":[{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.40230000019073486},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3862000107765198},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3021000027656555},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2818000018596649},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.28110000491142273},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.24889999628067017},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.24619999527931213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hipcw66559.2025.00091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hipcw66559.2025.00091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 32nd International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)","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":4,"referenced_works":["https://openalex.org/W2905380323","https://openalex.org/W4308083593","https://openalex.org/W4388757726","https://openalex.org/W4401211857"],"related_works":[],"abstract_inverted_index":{"To":[0],"defend":[1],"against":[2],"conflict-based":[3],"attacks":[4],"at":[5],"the":[6,15,19,28,39,45,83],"Last":[7],"Level":[8],"Cache":[9],"(LLC),":[10],"randomization":[11],"is":[12,50],"proposed.":[13],"At":[14],"DRAM,":[16],"to":[17,58,88,99],"induce":[18],"Rowhammer":[20,42,65,106],"attack,":[21],"attackers":[22],"generate":[23],"memory":[24],"requests":[25],"that":[26,67,89],"bypass":[27],"on-chip":[29],"caches":[30],"and":[31,54],"hammer":[32],"selective":[33],"DRAM":[34,101],"rows.":[35],"The":[36],"impact":[37],"of":[38,47,78,90],"set-eviction":[40],"based":[41],"attack":[43,66,107],"in":[44,93],"presence":[46],"randomized":[48,71,109],"LLC":[49,72,84],"unexplored":[51],"till":[52],"date,":[53],"we":[55],"find":[56],"it":[57],"be":[59],"ineffective.":[60],"We":[61],"propose":[62],"R2H,":[63],"a":[64,76,104],"works":[68],"even":[69],"with":[70],"designs.":[73],"By":[74],"targeting":[75],"subset":[77],"cache":[79],"sets,":[80],"R2H":[81],"drives":[82],"miss":[85],"rate":[86],"comparable":[87],"conventional":[91],"caches,":[92],"addition":[94],"these":[95],"misses":[96],"are":[97],"concentrated":[98],"specific":[100],"rows,":[102],"enabling":[103],"successful":[105],"despite":[108],"set":[110],"mappings.":[111]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-04-03T00:00:00"}
