{"id":"https://openalex.org/W2588722872","doi":"https://doi.org/10.1109/icitst.2016.7856710","title":"Identification and recovery of video fragments for forensics file carving","display_name":"Identification and recovery of video fragments for forensics file carving","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2588722872","doi":"https://doi.org/10.1109/icitst.2016.7856710","mag":"2588722872"},"language":"en","primary_location":{"id":"doi:10.1109/icitst.2016.7856710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icitst.2016.7856710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)","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/A5003521472","display_name":"Khawla Alghafli","orcid":"https://orcid.org/0000-0002-9366-1873"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Khawla Alghafli","raw_affiliation_strings":["Khalifa University of Science and Technology, Abu Dhabi, Abu Dhabi, AE"],"affiliations":[{"raw_affiliation_string":"Khalifa University of Science and Technology, Abu Dhabi, Abu Dhabi, AE","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003184877","display_name":"Thomas Martin","orcid":"https://orcid.org/0000-0002-4773-295X"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Thomas Martin","raw_affiliation_strings":["Department of Computing and Mathematics, Manchester Metropolitan University"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Mathematics, Manchester Metropolitan University","institution_ids":["https://openalex.org/I11983389"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003521472"],"corresponding_institution_ids":["https://openalex.org/I176601375"],"apc_list":null,"apc_paid":null,"fwci":1.381,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88216335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9998999834060669,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9998999834060669,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8436897993087769},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.6475538015365601},{"id":"https://openalex.org/keywords/digital-forensics","display_name":"Digital forensics","score":0.6200969219207764},{"id":"https://openalex.org/keywords/video-capture","display_name":"Video capture","score":0.5590465068817139},{"id":"https://openalex.org/keywords/carving","display_name":"Carving","score":0.48941484093666077},{"id":"https://openalex.org/keywords/smacker-video","display_name":"Smacker video","score":0.4659935235977173},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4615376889705658},{"id":"https://openalex.org/keywords/digital-evidence","display_name":"Digital evidence","score":0.44637665152549744},{"id":"https://openalex.org/keywords/byte","display_name":"Byte","score":0.4430193305015564},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44142797589302063},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.40852653980255127},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.297467976808548},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.24945887923240662},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1739441454410553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8436897993087769},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.6475538015365601},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.6200969219207764},{"id":"https://openalex.org/C151211776","wikidata":"https://www.wikidata.org/wiki/Q2778015","display_name":"Video capture","level":3,"score":0.5590465068817139},{"id":"https://openalex.org/C2777370761","wikidata":"https://www.wikidata.org/wiki/Q18448934","display_name":"Carving","level":2,"score":0.48941484093666077},{"id":"https://openalex.org/C108803254","wikidata":"https://www.wikidata.org/wiki/Q857512","display_name":"Smacker video","level":4,"score":0.4659935235977173},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4615376889705658},{"id":"https://openalex.org/C2781357168","wikidata":"https://www.wikidata.org/wiki/Q5276084","display_name":"Digital evidence","level":3,"score":0.44637665152549744},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.4430193305015564},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44142797589302063},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.40852653980255127},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.297467976808548},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.24945887923240662},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1739441454410553},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icitst.2016.7856710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icitst.2016.7856710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)","raw_type":"proceedings-article"},{"id":"pmh:oai:e-space.mmu.ac.uk:618139","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W116673063","https://openalex.org/W1972455458","https://openalex.org/W2008601275","https://openalex.org/W2024386036","https://openalex.org/W2081747167","https://openalex.org/W2098596557","https://openalex.org/W2497669562","https://openalex.org/W2623569061","https://openalex.org/W2732894000","https://openalex.org/W4235731453","https://openalex.org/W6604766352"],"related_works":["https://openalex.org/W5341801","https://openalex.org/W2548287415","https://openalex.org/W4247205791","https://openalex.org/W2181728705","https://openalex.org/W4288054526","https://openalex.org/W3122539278","https://openalex.org/W1604717907","https://openalex.org/W4205890227","https://openalex.org/W2611755027","https://openalex.org/W1567868449"],"abstract_inverted_index":{"In":[0,56],"digital":[1,187],"forensics,":[2],"file":[3,32,42],"carving":[4,24,147],"of":[5,15,51,68,80,93,117,163,184,186],"video":[6,16,27,69,73,98,119,146,158],"files":[7,28],"is":[8,43,114,131],"an":[9],"important":[10],"process":[11,67,183],"in":[12,38,100,181,189],"the":[13,41,52,72,123,141,153,182],"recovery":[14,66,185],"evidence":[17,175,188],"needed":[18],"for":[19,63,91],"many":[20,190],"criminal":[21,191],"cases.":[22,192],"Traditional":[23],"techniques":[25,36],"recover":[26],"based":[29],"on":[30,122],"their":[31],"structure.":[33],"However,":[34],"these":[35],"fail":[37],"cases":[39],"where":[40],"split":[44],"into":[45],"several":[46,137],"fragments,":[47],"especially":[48],"if":[49,71],"some":[50],"fragments":[53,70,99,159],"were":[54,76],"overwritten.":[55,77],"this":[57],"paper,":[58],"we":[59,126],"present":[60],"a":[61,111,115,118,128,178],"method":[62,125,143,155],"identification":[64],"and":[65,86,165,176],"Codec":[74],"specifications":[75],"It":[78],"consists":[79],"two":[81],"parts":[82],"which":[83,130],"are":[84],"detector":[85,89],"validators.":[87],"The":[88,103,167],"looks":[90],"sequences":[92],"bytes":[94],"that":[95,110,152],"could":[96],"be":[97],"forensics":[101],"image.":[102],"validator":[104],"decides":[105],"to":[106,139],"accept":[107],"or":[108],"reject":[109],"given":[112],"fragment":[113],"part":[116],"file.":[120],"Based":[121],"proposed":[124,142],"implement":[127],"prototype":[129],"called":[132],"VidCarve.":[133],"We":[134],"have":[135],"conducted":[136],"experiments":[138],"evaluate":[140],"with":[144,160],"current":[145],"tools.":[148],"Experimental":[149],"results":[150],"show":[151],"discussed":[154],"can":[156,171],"identify":[157],"high":[161],"rates":[162],"precision":[164],"recall.":[166],"overall":[168],"performance":[169],"rate":[170],"produce":[172],"forensically":[173],"sound":[174],"play":[177],"vital":[179],"role":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
