{"id":"https://openalex.org/W3014957459","doi":"https://doi.org/10.1109/saner48275.2020.9054807","title":"Sequence Directed Hybrid Fuzzing","display_name":"Sequence Directed Hybrid Fuzzing","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3014957459","doi":"https://doi.org/10.1109/saner48275.2020.9054807","mag":"3014957459"},"language":"en","primary_location":{"id":"doi:10.1109/saner48275.2020.9054807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saner48275.2020.9054807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER)","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/A5100354105","display_name":"Hongliang Liang","orcid":"https://orcid.org/0000-0001-6877-780X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongliang Liang","raw_affiliation_strings":["School of computer science Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of computer science Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101903807","display_name":"Lin Jiang","orcid":"https://orcid.org/0000-0002-4493-3377"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Jiang","raw_affiliation_strings":["School of computer science Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of computer science Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069408524","display_name":"Lu Ai","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Ai","raw_affiliation_strings":["School of computer science Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of computer science Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089061668","display_name":"Jinyi Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyi Wei","raw_affiliation_strings":["School of computer science Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of computer science Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100354105"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":6.3805,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.96971917,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.9976999759674072,"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"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzz-testing","display_name":"Fuzz testing","score":0.9891728758811951},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8935061693191528},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4340529441833496},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4223019778728485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3245202898979187},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.1643187701702118}],"concepts":[{"id":"https://openalex.org/C111065885","wikidata":"https://www.wikidata.org/wiki/Q1189053","display_name":"Fuzz testing","level":3,"score":0.9891728758811951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8935061693191528},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4340529441833496},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4223019778728485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3245202898979187},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.1643187701702118}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/saner48275.2020.9054807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saner48275.2020.9054807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1710734607","https://openalex.org/W1976878954","https://openalex.org/W1985108724","https://openalex.org/W2049105156","https://openalex.org/W2105983962","https://openalex.org/W2134633067","https://openalex.org/W2515236103","https://openalex.org/W2574017551","https://openalex.org/W2613534458","https://openalex.org/W2757104921","https://openalex.org/W2766540688","https://openalex.org/W2777430404","https://openalex.org/W2806746626","https://openalex.org/W2808820334","https://openalex.org/W2888875512","https://openalex.org/W2888918144","https://openalex.org/W2891235722","https://openalex.org/W2947265301","https://openalex.org/W2956095933","https://openalex.org/W2962918166","https://openalex.org/W2964097210","https://openalex.org/W3104664063","https://openalex.org/W3140804348","https://openalex.org/W4239813889","https://openalex.org/W6637688222","https://openalex.org/W6754405587","https://openalex.org/W6764065038"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2511770387","https://openalex.org/W3120811337","https://openalex.org/W3203597304","https://openalex.org/W4385301282","https://openalex.org/W2990186179","https://openalex.org/W4248424560","https://openalex.org/W3023977444","https://openalex.org/W2766647240","https://openalex.org/W4210660460"],"abstract_inverted_index":{"Existing":[0],"directed":[1,43,127],"grey-box":[2],"fuzzers":[3,128],"are":[4],"effective":[5],"compared":[6],"with":[7],"coverage-based":[8],"fuzzers.":[9],"However,":[10],"they":[11],"fail":[12],"to":[13,25,30,56,74],"achieve":[14],"a":[15,39,49,63,70,100],"balance":[16],"between":[17],"effectiveness":[18,59],"and":[19,21,52,87,104,114,131,133,150,153],"efficiency,":[20],"it":[22],"is":[23],"difficult":[24],"cover":[26],"complex":[27],"paths":[28],"due":[29],"random":[31],"mutation.":[32],"To":[33],"mitigate":[34],"the":[35,58,80,92,96],"issue,":[36],"we":[37],"propose":[38],"novel":[40],"approach,":[41],"sequence":[42,84],"hybrid":[44,135],"fuzzing":[45],"(SDHF),":[46],"which":[47],"leverages":[48],"sequence-directed":[50],"strategy":[51],"concolic":[53],"execution":[54],"technique":[55],"enhance":[57],"of":[60,65,69],"fuzzing.":[61],"Given":[62],"set":[64],"target":[66],"statement":[67],"sequences":[68],"program,":[71],"SDHF":[72],"aims":[73],"generate":[75],"inputs":[76],"that":[77,120],"can":[78],"reach":[79],"statements":[81],"in":[82,85,91,99,144],"each":[83],"order":[86],"trigger":[88],"potential":[89],"bugs":[90],"program.":[93],"We":[94],"implement":[95],"proposed":[97],"approach":[98],"tool":[101],"called":[102],"Berry":[103,121,139],"evaluate":[105],"its":[106],"capability":[107],"on":[108],"crash":[109],"reproduction,":[110],"true":[111],"positive":[112],"verification,":[113],"vulnerability":[115],"detection.":[116],"Experimental":[117],"results":[118],"demonstrate":[119],"outperforms":[122],"four":[123],"state-of-the-art":[124],"fuzzers,":[125],"including":[126],"BugRedux,":[129],"AFLGo":[130],"Lolly,":[132],"undirected":[134],"fuzzer":[136],"QSYM.":[137],"Moreover,":[138],"found":[140],"7":[141],"new":[142,155],"vulnerabilities":[143],"real-world":[145],"programs":[146],"such":[147],"as":[148],"UPX":[149],"GNU":[151],"Libextractor,":[152],"3":[154],"CVEs":[156],"were":[157],"assigned.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}