{"id":"https://openalex.org/W4387122744","doi":"https://doi.org/10.1145/3607947.3607989","title":"Enhancing In-Vehicle Network Security Through Bitstream Feature Extraction-Based Intrusion Detection","display_name":"Enhancing In-Vehicle Network Security Through Bitstream Feature Extraction-Based Intrusion Detection","publication_year":2023,"publication_date":"2023-08-03","ids":{"openalex":"https://openalex.org/W4387122744","doi":"https://doi.org/10.1145/3607947.3607989"},"language":"en","primary_location":{"id":"doi:10.1145/3607947.3607989","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3607947.3607989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing","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/A5091130494","display_name":"Md Rezanur Islam","orcid":"https://orcid.org/0000-0002-1183-7741"},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Md Rezanur Islam","raw_affiliation_strings":["Department of Software Convergence, Soonchunhyang University, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-1183-7741","affiliations":[{"raw_affiliation_string":"Department of Software Convergence, Soonchunhyang University, South Korea","institution_ids":["https://openalex.org/I24541011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008061074","display_name":"Insu Oh","orcid":"https://orcid.org/0000-0002-6545-9125"},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Insu Oh","raw_affiliation_strings":["Department of Information Security Engineering, Soonchunhyang University, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6545-9125","affiliations":[{"raw_affiliation_string":"Department of Information Security Engineering, Soonchunhyang University, South Korea","institution_ids":["https://openalex.org/I24541011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055364484","display_name":"Muminov Ibrokhim Botir Ugli","orcid":"https://orcid.org/0000-0002-5120-501X"},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Muminov Ibrokhim Botir Ugli","raw_affiliation_strings":["Department of Coumpter Software Engineering, Soonchunhyang University, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5120-501X","affiliations":[{"raw_affiliation_string":"Department of Coumpter Software Engineering, Soonchunhyang University, South Korea","institution_ids":["https://openalex.org/I24541011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058090532","display_name":"Kangbin Yim","orcid":"https://orcid.org/0000-0002-1361-1455"},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kangbin Yim","raw_affiliation_strings":["Department of Information Security Engineering, Soonchunhyang University, Korea"],"raw_orcid":"https://orcid.org/0000-0002-1361-1455","affiliations":[{"raw_affiliation_string":"Department of Information Security Engineering, Soonchunhyang University, Korea","institution_ids":["https://openalex.org/I24541011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24541011"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11052174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"224","last_page":"229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9997000098228455,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9997000098228455,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9991999864578247,"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":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.8103059530258179},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.7800949811935425},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6993622779846191},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.6768360137939453},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6681432723999023},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.505683422088623},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49907803535461426},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4494938850402832},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.44356441497802734},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37561967968940735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31276941299438477},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.28334951400756836},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.22884950041770935},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09861961007118225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103059530258179},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.7800949811935425},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6993622779846191},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.6768360137939453},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6681432723999023},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.505683422088623},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49907803535461426},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4494938850402832},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.44356441497802734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37561967968940735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31276941299438477},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.28334951400756836},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.22884950041770935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09861961007118225},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3607947.3607989","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3607947.3607989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1560965780","https://openalex.org/W1629374427","https://openalex.org/W2005377491","https://openalex.org/W2008332894","https://openalex.org/W2101124023","https://openalex.org/W2106753707","https://openalex.org/W2743241167","https://openalex.org/W2790864385","https://openalex.org/W2891789701","https://openalex.org/W2897929592","https://openalex.org/W2948384692","https://openalex.org/W3042693420","https://openalex.org/W3186826072","https://openalex.org/W3210300405","https://openalex.org/W4245399391","https://openalex.org/W4285146035","https://openalex.org/W4285228945","https://openalex.org/W4296501357"],"related_works":["https://openalex.org/W2119626116","https://openalex.org/W2137804590","https://openalex.org/W1535080110","https://openalex.org/W2005006301","https://openalex.org/W2130100961","https://openalex.org/W2352380146","https://openalex.org/W2037887240","https://openalex.org/W1994765432","https://openalex.org/W306312984","https://openalex.org/W2186699851"],"abstract_inverted_index":{"The":[0,68],"in-vehicle":[1,36,143],"network":[2],"(IVN)":[3],"is":[4,38,74,117],"highly":[5,75],"vulnerable":[6],"due":[7],"to":[8,50,88,150],"its":[9],"inherent":[10],"structure,":[11],"and":[12,44,58,77,98,123],"the":[13,52,101,111,114,140,152],"continuous":[14],"introduction":[15],"of":[16,95,103,142,154],"new":[17],"features":[18,65],"in":[19],"next-generation":[20],"vehicles":[21],"only":[22],"exacerbates":[23],"this":[24,28],"issue.":[25],"To":[26],"address":[27],"problem,":[29],"a":[30,104,126,135],"proposed":[31,112],"intrusion":[32],"detection":[33],"approach":[34,48,133],"for":[35,129,138],"networks":[37],"based":[39],"on":[40,82],"bitstream":[41],"feature":[42,121],"extraction":[43,122],"autocorrelation":[45,99],"analysis.":[46],"This":[47,132],"aims":[49],"overcome":[51],"limitations":[53],"associated":[54],"with":[55,106],"memory":[56],"utilization":[57],"processing":[59],"overhead":[60],"vulnerability":[61],"by":[62,145],"comparing":[63],"payload":[64,116],"using":[66,119],"nibble.":[67],"Controller":[69],"Area":[70],"Network":[71],"(CAN)":[72],"data":[73],"susceptible,":[76],"organizations":[78],"worldwide":[79],"are":[80,92],"working":[81],"developing":[83],"Intrusion":[84],"Detection":[85],"Systems":[86],"(IDSs)":[87],"protect":[89],"vehicles.":[90],"Nibbles":[91],"four-bit":[93],"units":[94],"digital":[96],"information,":[97],"measures":[100],"correlation":[102],"variable":[105],"itself":[107],"over":[108],"time.":[109],"In":[110],"approach,":[113],"CAN":[115],"processed":[118],"nibble":[120],"fed":[124],"into":[125],"deep-learning":[127],"CNN":[128],"attack":[130],"classification.":[131],"presents":[134],"promising":[136],"solution":[137],"enhancing":[139],"security":[141,153],"networks,":[144],"utilizing":[146],"advanced":[147],"machine-learning":[148],"techniques":[149],"improve":[151],"vehicle":[155],"systems.":[156]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
