{"id":"https://openalex.org/W4388738111","doi":"https://doi.org/10.1145/3606043.3606050","title":"AFL-RL: A Reinforcement Learning Based Mutation Scheduling Optimization Method for Fuzzing","display_name":"AFL-RL: A Reinforcement Learning Based Mutation Scheduling Optimization Method for Fuzzing","publication_year":2023,"publication_date":"2023-06-17","ids":{"openalex":"https://openalex.org/W4388738111","doi":"https://doi.org/10.1145/3606043.3606050"},"language":"en","primary_location":{"id":"doi:10.1145/3606043.3606050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606043.3606050","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 7th International Conference on High Performance Compilation, Computing and Communications","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/A5103027816","display_name":"Menglin Li","orcid":"https://orcid.org/0009-0006-9598-7275"},"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":"Menglin Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102787576","display_name":"Haoran Zhu","orcid":"https://orcid.org/0009-0003-9036-486X"},"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":"Haoran Zhu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044612578","display_name":"Haochen Zhang","orcid":"https://orcid.org/0009-0001-0207-2628"},"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":"Haochen Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102845052","display_name":"Jingtian Liu","orcid":"https://orcid.org/0009-0007-2145-633X"},"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":"Jingtian Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103027816"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.1886,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80123993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9994999766349792,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9975000023841858,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzz-testing","display_name":"Fuzz testing","score":0.9794856309890747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8084887266159058},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7543506622314453},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5361328721046448},{"id":"https://openalex.org/keywords/metaverse","display_name":"Metaverse","score":0.4959929883480072},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.4874415695667267},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.44159939885139465},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4227769076824188},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34940463304519653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32383644580841064},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.2886149287223816},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.19352662563323975}],"concepts":[{"id":"https://openalex.org/C111065885","wikidata":"https://www.wikidata.org/wiki/Q1189053","display_name":"Fuzz testing","level":3,"score":0.9794856309890747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8084887266159058},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7543506622314453},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5361328721046448},{"id":"https://openalex.org/C53332860","wikidata":"https://www.wikidata.org/wiki/Q2632041","display_name":"Metaverse","level":3,"score":0.4959929883480072},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.4874415695667267},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.44159939885139465},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4227769076824188},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34940463304519653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32383644580841064},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2886149287223816},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.19352662563323975},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3606043.3606050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606043.3606050","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 7th International Conference on High Performance Compilation, Computing and Communications","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":8,"referenced_works":["https://openalex.org/W2166821106","https://openalex.org/W2512980820","https://openalex.org/W2766447205","https://openalex.org/W2766540688","https://openalex.org/W2898035736","https://openalex.org/W2968973984","https://openalex.org/W6675937273","https://openalex.org/W6817328786"],"related_works":["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/W4210660460","https://openalex.org/W3119380829","https://openalex.org/W4288084466"],"abstract_inverted_index":{"As":[0],"the":[1,5,9,31,42,50,87,92,110,145],"development":[2,55],"paradigm":[3],"of":[4,34,49,86,149],"next":[6,32],"generation":[7,33],"Internet,":[8],"metaverse":[10,51,66],"aims":[11],"to":[12,36,61,79,126],"build":[13],"a":[14,116],"fully":[15],"immersive,":[16],"supra-temporal":[17],"and":[18,39,46,56,82,131,135,140,147],"self-sustaining":[19],"virtual":[20],"shared":[21],"space,":[22],"which":[23,102,143],"is":[24,84],"regarded":[25],"as":[26,68,70],"an":[27],"important":[28],"application":[29,57],"for":[30],"people":[35],"socialize,":[37],"entertain":[38],"work.":[40],"However,":[41,91],"serious":[43],"privacy":[44],"violations":[45],"security":[47,63],"vulnerabilities":[48,64],"affect":[52],"its":[53,105],"extensive":[54],"deployment.":[58],"In":[59],"order":[60],"locate":[62],"in":[65],"software":[67],"early":[69],"possible,":[71],"many":[72],"vulnerability":[73,80],"mining":[74],"techniques":[75],"have":[76],"been":[77],"applied":[78],"detection,":[81],"fuzzing":[83,94,129],"one":[85],"most":[88],"effective":[89],"techniques.":[90],"traditional":[93,128],"technology":[95],"has":[96],"great":[97],"blindness":[98],"when":[99],"mutating":[100],"samples,":[101],"seriously":[103],"affects":[104],"work":[106],"efficiency.":[107],"To":[108],"solve":[109],"above":[111],"problems,":[112],"this":[113,150],"paper":[114],"proposes":[115],"method":[117],"based":[118],"on":[119,137],"improving":[120],"TD3":[121],"deep":[122],"reinforcement":[123],"learning":[124],"algorithm":[125],"improve":[127],"technology,":[130],"conducts":[132],"preliminary":[133],"tests":[134],"evaluation":[136],"libtiff,":[138],"ffmpeg":[139],"other":[141],"software,":[142],"verifies":[144],"effectiveness":[146],"feasibility":[148],"method.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
