{"id":"https://openalex.org/W4399487475","doi":"https://doi.org/10.1145/3649476.3658769","title":"SNAC: Mitigation of Snoop-Based Attacks with Multi-Tier Security in NoC Architectures","display_name":"SNAC: Mitigation of Snoop-Based Attacks with Multi-Tier Security in NoC Architectures","publication_year":2024,"publication_date":"2024-06-10","ids":{"openalex":"https://openalex.org/W4399487475","doi":"https://doi.org/10.1145/3649476.3658769"},"language":"en","primary_location":{"id":"doi:10.1145/3649476.3658769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649476.3658769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Great Lakes Symposium on VLSI 2024","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/A5072756161","display_name":"Siqin Liu","orcid":"https://orcid.org/0000-0002-0565-5845"},"institutions":[{"id":"https://openalex.org/I4210106879","display_name":"Ohio University","ror":"https://ror.org/01jr3y717","country_code":"US","type":"education","lineage":["https://openalex.org/I4210106879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siqin Liu","raw_affiliation_strings":["Electrical Engineering and Computer Science, Ohio University, USA"],"raw_orcid":"https://orcid.org/0000-0002-0565-5845","affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, Ohio University, USA","institution_ids":["https://openalex.org/I4210106879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079323550","display_name":"Saumya Chauhan","orcid":"https://orcid.org/0000-0002-6166-9643"},"institutions":[{"id":"https://openalex.org/I4210106879","display_name":"Ohio University","ror":"https://ror.org/01jr3y717","country_code":"US","type":"education","lineage":["https://openalex.org/I4210106879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saumya Chauhan","raw_affiliation_strings":["Electrical Engineering and Computer Science, Ohio University, USA"],"raw_orcid":"https://orcid.org/0000-0002-6166-9643","affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, Ohio University, USA","institution_ids":["https://openalex.org/I4210106879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014895124","display_name":"Avinash Karanth","orcid":"https://orcid.org/0000-0002-9472-4637"},"institutions":[{"id":"https://openalex.org/I4210106879","display_name":"Ohio University","ror":"https://ror.org/01jr3y717","country_code":"US","type":"education","lineage":["https://openalex.org/I4210106879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avinash Karanth","raw_affiliation_strings":["Ohio University, USA"],"raw_orcid":"https://orcid.org/0000-0002-9472-4637","affiliations":[{"raw_affiliation_string":"Ohio University, USA","institution_ids":["https://openalex.org/I4210106879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210106879"],"apc_list":null,"apc_paid":null,"fwci":0.9271,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62869115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"560","last_page":"563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9958999752998352,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/computer-science","display_name":"Computer science","score":0.7068242430686951},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5194596648216248},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3725041151046753},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3502618670463562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7068242430686951},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5194596648216248},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3725041151046753},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3502618670463562}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3649476.3658769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649476.3658769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Great Lakes Symposium on VLSI 2024","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G2971260893","display_name":null,"funder_award_id":"CCF- 1703013, CCF-1901192, CCF-1936794, CCF-2324645 and CCF-2311544","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":14,"referenced_works":["https://openalex.org/W2028097207","https://openalex.org/W2085447084","https://openalex.org/W2204870480","https://openalex.org/W2341111334","https://openalex.org/W2509593558","https://openalex.org/W3005753313","https://openalex.org/W3009202315","https://openalex.org/W3047569725","https://openalex.org/W3165701163","https://openalex.org/W3204652778","https://openalex.org/W4226339169","https://openalex.org/W4240506049","https://openalex.org/W4245728436","https://openalex.org/W4377224497"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Network-on-chips":[0],"(NoCs)":[1],"are":[2],"crucial":[3],"for":[4,145],"multicore":[5],"and":[6,76,99,115,128,143,149,158],"manycore":[7],"System-on-Chip":[8],"(SoC)":[9],"architectures.":[10],"However,":[11],"the":[12,47,93],"integration":[13],"of":[14,58,140,155],"third-party":[15],"Intellectual":[16],"Property":[17],"(IP)":[18],"cores":[19],"in":[20,61],"SoCs":[21],"has":[22],"introduced":[23],"hardware":[24],"vulnerabilities.":[25],"Snoop-based":[26,59],"attacks":[27],"exploit":[28],"these":[29,51],"vulnerabilities":[30],"by":[31],"inserting":[32],"malicious":[33],"Hardware":[34],"Trojans":[35],"into":[36],"routers,":[37],"allowing":[38],"them":[39],"to":[40,85],"extract":[41],"sensitive":[42],"information":[43,101],"as":[44],"packets":[45],"traverse":[46],"NoC.":[48],"To":[49],"address":[50],"security":[52,70],"concerns,":[53],"we":[54,96],"propose":[55],"SNAC:":[56],"Mitigation":[57],"Attacks":[60],"NoCs.":[62],"SNAC":[63,123,135],"employs":[64],"a":[65],"three-tier":[66],"architecture":[67],"with":[68,73,120,152],"increasing":[69],"levels,":[71],"each":[72],"proportional":[74],"power":[75,138],"latency":[77],"overheads.":[78],"The":[79,107],"first":[80],"tier":[81,109],"introduces":[82],"path":[83,121],"randomization":[84],"prevent":[86],"attackers":[87],"from":[88,112],"predicting":[89],"packet":[90],"routes.":[91],"In":[92],"second":[94],"tier,":[95],"encrypt":[97],"source":[98],"destination":[100],"using":[102,126],"lightweight":[103],"backward":[104],"XoR":[105],"encryption.":[106],"third":[108],"combines":[110],"techniques":[111],"tiers":[113],"one":[114],"two,":[116],"extending":[117],"obfuscation":[118],"along":[119],"randomization.":[122],"was":[124],"evaluated":[125],"synthetic":[127],"real-world":[129],"benchmarks.":[130],"Our":[131],"results":[132],"show":[133],"that":[134],"incurs":[136],"dynamic":[137],"overheads":[139,154],"4.2%,":[141,157],"3.9%,":[142],"6.1%":[144],"Tiers":[146],"1,":[147],"2,":[148],"3":[150],"respectively,":[151],"area":[153],"6.2%,":[156],"9.2%.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
