{"id":"https://openalex.org/W2186487985","doi":"https://doi.org/10.1109/ic3.2015.7346711","title":"Heterogeneous feature space for Android malware detection","display_name":"Heterogeneous feature space for Android malware detection","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2186487985","doi":"https://doi.org/10.1109/ic3.2015.7346711","mag":"2186487985"},"language":"en","primary_location":{"id":"doi:10.1109/ic3.2015.7346711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2015.7346711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Eighth International Conference on Contemporary Computing (IC3)","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/A5000667118","display_name":"M. Varsha","orcid":"https://orcid.org/0009-0001-6577-167X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Varsha M V","raw_affiliation_strings":["Department of Computer Science and Engineering, SCMS School of Engineering and Technology, Ernakulam, Kerala, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SCMS School of Engineering and Technology, Ernakulam, Kerala, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103016944","display_name":"P. Vinod","orcid":"https://orcid.org/0000-0001-6078-2014"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vinod P","raw_affiliation_strings":["Department of Computer Science and Engineering, SCMS School of Engineering and Technology, Ernakulam, Kerala, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SCMS School of Engineering and Technology, Ernakulam, Kerala, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007318339","display_name":"K. A. Dhanya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dhanya K A","raw_affiliation_strings":["Department of Computer Science and Engineering, SCMS School of Engineering and Technology, Ernakulam, Kerala, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SCMS School of Engineering and Technology, Ernakulam, Kerala, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000667118"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5744,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67875466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"383","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":1.0,"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":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9847000241279602,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9797999858856201,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/opcode","display_name":"Opcode","score":0.9002727270126343},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.8398606777191162},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8085597157478333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7591032981872559},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6865549683570862},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6664323210716248},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5807198882102966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5658144950866699},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.5357891917228699},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5119413137435913},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4674597382545471},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43147075176239014},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4122133255004883},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38340839743614197},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13957983255386353}],"concepts":[{"id":"https://openalex.org/C52173422","wikidata":"https://www.wikidata.org/wiki/Q766483","display_name":"Opcode","level":2,"score":0.9002727270126343},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.8398606777191162},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8085597157478333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591032981872559},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6865549683570862},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6664323210716248},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5807198882102966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5658144950866699},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.5357891917228699},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5119413137435913},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4674597382545471},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43147075176239014},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4122133255004883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38340839743614197},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13957983255386353},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3.2015.7346711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2015.7346711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Eighth International Conference on Contemporary Computing (IC3)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1532142362","https://openalex.org/W1936837038","https://openalex.org/W1964241047","https://openalex.org/W1969128289","https://openalex.org/W1990649188","https://openalex.org/W2003276999","https://openalex.org/W2058180826","https://openalex.org/W2080157505","https://openalex.org/W2087970742","https://openalex.org/W2104839588","https://openalex.org/W2122672392","https://openalex.org/W2125011234","https://openalex.org/W2142145056","https://openalex.org/W2150757437","https://openalex.org/W2156744053","https://openalex.org/W2911964244","https://openalex.org/W6631685229","https://openalex.org/W6640693021"],"related_works":["https://openalex.org/W36091977","https://openalex.org/W2800331776","https://openalex.org/W4382794599","https://openalex.org/W2903602818","https://openalex.org/W2003791967","https://openalex.org/W4294976063","https://openalex.org/W4387382577","https://openalex.org/W3016048014","https://openalex.org/W2902612505","https://openalex.org/W2384735743"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3],"broad":[4],"static":[5],"analysis":[6,94],"system":[7,58],"to":[8,37],"classify":[9],"the":[10,39,57,80,97],"android":[11],"malware":[12,86,98],"application":[13,23,34],"is":[14],"been":[15],"proposed.":[16],"The":[17,54],"features":[18,44,87],"like":[19,63],"hardware":[20],"components,":[21,24],"permissions,":[22],"filtered":[25],"intents,":[26],"opcodes":[27],"and":[28,67],"number":[29],"of":[30,56,72],"smali":[31],"files":[32],"per":[33],"are":[35,45],"used":[36],"generate":[38],"vector":[40],"space":[41,83],"model.":[42,102],"Significant":[43],"selected":[46],"using":[47,61,88],"Entropy":[48],"based":[49],"Category":[50],"Coverage":[51],"Difference":[52],"criterion.":[53],"performance":[55],"was":[59,77],"evaluated":[60],"classifiers":[62],"SVM,":[64],"Rotation":[65],"Forest":[66,90],"Random":[68,89],"Forest.":[69],"An":[70,92],"accuracy":[71],"98.14%":[73],"with":[74],"F-measure":[75],"0.976":[76],"obtained":[78],"for":[79],"Meta":[81],"feature":[82],"model":[84,99],"containing":[85],"classifier.":[91],"overall":[93],"concluded":[95],"that":[96],"outperforms":[100],"benign":[101]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
