{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T08:06:30Z","timestamp":1777449990764,"version":"3.51.4"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"17","license":[{"start":{"date-parts":[[2019,1,12]],"date-time":"2019-01-12T00:00:00Z","timestamp":1547251200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1007\/s00500-019-03755-4","type":"journal-article","created":{"date-parts":[[2019,1,12]],"date-time":"2019-01-12T06:44:24Z","timestamp":1547275464000},"page":"7569-7590","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["SimAndro: an effective method to compute similarity of Android applications"],"prefix":"10.1007","volume":"23","author":[{"given":"Masoud Reyhani","family":"Hamednai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gyoosik","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9917-0429","authenticated-orcid":false,"given":"Seong-je","family":"Cho","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,1,12]]},"reference":[{"key":"3755_CR1","unstructured":"Android developers site. developer.android.com\/studio\/build\/multidex.html, (December 2018)"},{"key":"3755_CR2","doi-asserted-by":"crossref","unstructured":"Aafer Y, Du W, Yin H (2013) Droidapiminer: mining api-level features for robust malware detection in android. In: Proceedings of international conference on security and privacy in communication systems, pp 86\u2013103","DOI":"10.1007\/978-3-319-04283-1_6"},{"issue":"9","key":"3755_CR3","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.1016\/j.patrec.2011.03.014","volume":"32","author":"A Airola","year":"2011","unstructured":"Airola A, Pahikkala T, Salakoski T (2011) Training linear ranking svms in linearithmic time using redblack trees. Pattern Recognit Lett 32(9):1328\u20131336","journal-title":"Pattern Recognit Lett"},{"key":"3755_CR4","doi-asserted-by":"crossref","unstructured":"Arp D, Spreitzenbarth M, Gascon H, Rieck K (2014) Drebin: effective and explainable detection of android malware in your pocket. In: Proceedings of the 14st international conference on network and distributed system security symposium, pp 1\u201312","DOI":"10.14722\/ndss.2014.23247"},{"key":"3755_CR5","doi-asserted-by":"crossref","unstructured":"Backurs A, Indyk P (2015) Edit distance cannot be computed in strongly subquadratic time (unless seth is false). In: Proceedings of the 47th annual ACM symposium on theory of computing, pp 51\u201358","DOI":"10.1145\/2746539.2746612"},{"key":"3755_CR6","doi-asserted-by":"crossref","unstructured":"Bhandari U, Sugiyama K, Datta A, Jindal R (2013) Serendipitous recommendation for mobile apps using item-item similarity graph. In: Proceedings of the 10th Asia information retrieval societies conference, pp 440\u2013451","DOI":"10.1007\/978-3-642-45068-6_38"},{"key":"3755_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jss.2015.08.018","volume":"110","author":"D-K Chae","year":"2015","unstructured":"Chae D-K, Kim S-W, Cho S-J, Kim Y (2015) Effective and efficient detection of software theft via dynamic API authority vectors. J Syst Softw 110:1\u20139","journal-title":"J Syst Softw"},{"key":"3755_CR8","doi-asserted-by":"crossref","unstructured":"Chen N, Hoi S, Li S, Xiao X (2015) Simapp: a framework for detecting similar mobile applications by online kernel learning. In: Proceedings of the 8th ACM international conference on web search and data mining, pp 305\u2013314","DOI":"10.1145\/2684822.2685305"},{"key":"3755_CR9","doi-asserted-by":"crossref","unstructured":"Chen N, Hoi S, Li S, Xiao X (2016) Mobile app tagging. In: Proceedings of the 9th ACM international conference on web search and data mining, pp 63\u201372","DOI":"10.1145\/2835776.2835812"},{"key":"3755_CR10","doi-asserted-by":"crossref","unstructured":"Chiki NF, Rothenburger B, Gilles N (2008) Combining link and content information for scientific topics discovery. In: Proceedings of 20th IEEE international conference on tools with artificial intelligence, ICTAI, pp 211\u2013214","DOI":"10.1109\/ICTAI.2008.136"},{"key":"3755_CR11","doi-asserted-by":"crossref","unstructured":"Crussell J, Gibler C, Chen H (2012) Attack of the clones: detecting cloned applications on android markets. In: Proceedings of the European symposium on research in computer security, pp 37\u201354","DOI":"10.1007\/978-3-642-33167-1_3"},{"issue":"10","key":"3755_CR12","doi-asserted-by":"publisher","first-page":"2007","DOI":"10.1109\/TMC.2014.2381212","volume":"14","author":"J Crussell","year":"2016","unstructured":"Crussell J, Gibler C, Chen H (2016) Andarwin: scalable detection of android application clones based on semantics. IEEE Trans Mobile Comput 14(10):2007\u20132019","journal-title":"IEEE Trans Mobile Comput"},{"key":"3755_CR13","doi-asserted-by":"publisher","unstructured":"Demontis A, Melis M, Biggio B, Maiorca D, Arp D, Corona I (2017) Yes, machine learning can be more secure! a case study on android malware detection. IEEE Trans Dependable Secure Comput 1\u201314. \n                              https:\/\/doi.org\/10.1109\/TDSC.2017.2700270","DOI":"10.1109\/TDSC.2017.2700270"},{"key":"3755_CR14","unstructured":"Dalvik executable format. \n                              https:\/\/source.android.com\/devices\/tech\/dalvik\/dex-format\n                              \n                           , (December 2018)"},{"issue":"C","key":"3755_CR15","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.cose.2014.10.016","volume":"48","author":"Q Do","year":"2015","unstructured":"Do Q, Martini B, Choo K-K (2015) Exfiltrating data from android devices. Comput Secur 48(C):74\u201391","journal-title":"Comput Secur"},{"issue":"7","key":"3755_CR16","first-page":"790","volume":"4","author":"B Dutta","year":"2017","unstructured":"Dutta B, Shinde JV (2017) Intuitionistic fuzzy clustering based segmentation of spine mr image. Int Res J Eng Technol 4(7):790\u2013794","journal-title":"Int Res J Eng Technol"},{"issue":"2","key":"3755_CR17","doi-asserted-by":"publisher","first-page":"998","DOI":"10.1109\/COMST.2014.2386139","volume":"17","author":"P Faruki","year":"2015","unstructured":"Faruki P, Bharmal A, Laxmi V, Ganmoor V, Gaur M (2015) Android security: a survey of issues, malware penetration, and defenses. IEEE Commun Surv Tutor 17(2):998\u20131022","journal-title":"IEEE Commun Surv Tutor"},{"key":"3755_CR18","first-page":"66","volume":"22","author":"P Faruki","year":"2015","unstructured":"Faruki P, Laxmi V, Bharmal A, Gaur MS, Ganmoor V (2015) Androsimilar: Robust signature for detecting cariants of android malware. Inf Secur Appl 22:66\u201380","journal-title":"Inf Secur Appl"},{"issue":"C","key":"3755_CR19","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.diin.2015.02.001","volume":"13","author":"A Feizollah","year":"2015","unstructured":"Feizollah A, Anuar NB, Salleh R, Abdul\u00a0Wahab A (2015) A review on feature selection in mobile malware detection. Digit Investig 13(C):22\u201337","journal-title":"Digit Investig"},{"key":"3755_CR20","doi-asserted-by":"crossref","unstructured":"Hamedani MR, Kim S-W (2016) Simcc-at: a method to compute similarity of scientific papers with automatic parameter tuning. In: Proceedings of the 39th international ACM SIGIR conference on research and development in information retrieval, pp 1005\u20131008","DOI":"10.1145\/2911451.2914715"},{"key":"3755_CR21","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/j.ins.2017.06.005","volume":"414","author":"MR Hamedani","year":"2017","unstructured":"Hamedani MR, Kim S (2017) Jacsim: an accurate and efficient link-based similarity measure in graphs. Inf Sci 414:203\u2013224","journal-title":"Inf Sci"},{"issue":"C","key":"3755_CR22","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.ins.2015.12.001","volume":"334\u2013335","author":"MR Hamedani","year":"2016","unstructured":"Hamedani MR, Kim S-W, Kim D-J (2016) Simcc: a novel method to consider both content and citations for computing similarity of scientific papers. Inf Sci 334\u2013335(C):273\u2013292","journal-title":"Inf Sci"},{"key":"3755_CR23","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.diin.2015.06.002","volume":"14","author":"J-W Jang","year":"2015","unstructured":"Jang J-W, Kang H, Woo J, Aziz M, Kim HK (2015) Andro-autopsy: Anti-malware system based on similarity matching of malware and malware creator-centric information. Digit Investig 14:17\u201335","journal-title":"Digit Investig"},{"issue":"2","key":"3755_CR24","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1007\/s00500-016-2357-x","volume":"22","author":"Y Kim","year":"2018","unstructured":"Kim Y, Cho S-J, Han S, You I (2018) A software classification scheme using binary level characteristics for efficient software filtering. Soft Comput 22(2):595\u2013606","journal-title":"Soft Comput"},{"key":"3755_CR25","doi-asserted-by":"crossref","unstructured":"Ko J, Shim H, Kim D, Jeong Y-S, Cho S-j, Park M, Han S, Kim SB (2013) Measuring similarity of android applications via reversing and k-gram birthmarking. In: Proceedings of research in adaptive and convergent systems, pp 336\u2013341","DOI":"10.1145\/2513228.2513308"},{"issue":"7","key":"3755_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/JSEN.2017.2671238","volume":"17","author":"K Lee","year":"2017","unstructured":"Lee K, Ban Y, Lee S (2017) Efficient depth enhancement using a combination of color and depth information. Sensors 17(7):1\u201327","journal-title":"Sensors"},{"key":"3755_CR27","doi-asserted-by":"crossref","unstructured":"Lee S, Dolby J, Ryu S (2016) Hybridroid: static analysis framework for android hybrid applications. In: Proceedings of the 31st IEEE\/ACM international conference on automated software engineering, pp 250\u2013261","DOI":"10.1145\/2970276.2970368"},{"key":"3755_CR28","unstructured":"Levin J (2015) Android internals\u2014a confectioner\u2019s cookbook. vol I. Cambridge, MA, USA"},{"key":"3755_CR29","doi-asserted-by":"crossref","unstructured":"Li M, Li Q, Long Y (2017) Representation learning of multiword expressions with compositionality constraint. In: Proceedings of the international conference on knowledge science, engineering and management, pp 507\u2013519","DOI":"10.1007\/978-3-319-63558-3_43"},{"issue":"1","key":"3755_CR30","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/s10115-011-0427-z","volume":"32","author":"Z Lin","year":"2012","unstructured":"Lin Z, Lyu MR, King I (2012) Matchsim: a novel similarity measure based on maximum neighborhood matching. Knowl Inf Syst 32(1):141\u2013166","journal-title":"Knowl Inf Syst"},{"key":"3755_CR31","doi-asserted-by":"crossref","unstructured":"Magdy W, Jones GJF (2010) Pres: A score metric for evaluating recall-oriented information retrieval applications. In: Proceedings of the 33rd international ACM SIGIR conference on research and development in information retrieval, pp 611\u2013618","DOI":"10.1145\/1835449.1835551"},{"key":"3755_CR32","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to information retrieval","author":"CD Manning","year":"2008","unstructured":"Manning CD, Raghavan P, Schutze H (2008) Introduction to information retrieval. Cambridge University Press, Cambridge"},{"key":"3755_CR33","unstructured":"Motta JM, Ladouceur J (2017) A CRF machine learning model reinforced by ontological knowledge for document summarization. In: Proceedings of the international conference artificial intelligence, pp 127\u2013135"},{"issue":"1","key":"3755_CR34","first-page":"343","volume":"20","author":"F Narudin","year":"2016","unstructured":"Narudin F, Feizollah A, Anuar N, Gani A (2016) Evaluation of machine learning classifiers for mobile malware detection. Soft Comput Fusion Found Methodol Appl 20(1):343\u2013357","journal-title":"Soft Comput Fusion Found Methodol Appl"},{"key":"3755_CR35","doi-asserted-by":"crossref","unstructured":"Ng T (2016) Prefix distance between regular languages. In: Proceedings of the international conference on implementation and application of automata, pp 224\u2013235","DOI":"10.1007\/978-3-319-40946-7_19"},{"issue":"1","key":"3755_CR36","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1109\/TIFS.2013.2290431","volume":"9","author":"V Rastogi","year":"2014","unstructured":"Rastogi V, Chen Y, Jiang X (2014) Catch me if you can: evaluating android anti-malware against transformation attacks. IEEE Trans Inf Forensics Secur 9(1):99\u2013108","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"3755_CR37","doi-asserted-by":"crossref","unstructured":"Sanz B, Santos I, Laorden C, Ugarte-Pedrero X, Bringas PGa (2012) On the automatic categorisation of android applications. In: Proceedings of the 9th annual IEEE consumer communications and networking conference-security and content protection, pp 149\u2013153","DOI":"10.1109\/CCNC.2012.6181075"},{"key":"3755_CR38","doi-asserted-by":"crossref","unstructured":"Sarma B, Li N, Gates C, Potharaju R, Nita-Rotaru C, Molloy I (2012) Android permissions: a perspective combining risks and benefits. In: Proceedings of the 17th ACM symposium on access control models and technologies, pp 13\u201322","DOI":"10.1145\/2295136.2295141"},{"key":"3755_CR39","doi-asserted-by":"crossref","unstructured":"Sugiyama K, Kan M-Y (2013) Exploiting potential citation papers in scholarly paper recommendation. In: Proceedings of the 13th ACM\/IEEE joint conference on digital libraries, pp 153\u2013162","DOI":"10.1145\/2467696.2467701"},{"issue":"1","key":"3755_CR40","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.eswa.2016.09.040","volume":"69","author":"J Wei","year":"2017","unstructured":"Wei J, He J, Kai C, Zhou Y, Tang Z (2017) Collaborative filtering and deep learning based recommendation system for cold start items. Expert Syst Appl 69(1):29\u201339","journal-title":"Expert Syst Appl"},{"key":"3755_CR41","unstructured":"Wei T-E, Tyan H-R, Jeng A, Lee H-M, Liao H-Y, Wang J-C (2015) Droidexec: root exploit malware recognition against wide variability via folding redundant function-relation graph. In: Proceedings of the 17st international conference on advanced communication technology, pp 161\u2013169"},{"key":"3755_CR42","unstructured":"Wu D-J, Mao C-H, Wei T-E, Lee H-M, Wu K-P (2012) Droidmat: android malware detection through manifest and API calls tracing. In: Proceedings of the 7th Asia joint conference on information security, pp 62\u201396"},{"key":"3755_CR43","doi-asserted-by":"crossref","unstructured":"Yerima S, Sezer S, McWilliams G, Igor M (2013) A new android malware detection approach using bayesian classification. In: Proceedings of the 27th IEEE international conference on advanced information networking and applications, pp 121\u2013128","DOI":"10.1109\/AINA.2013.88"},{"key":"3755_CR44","doi-asserted-by":"crossref","unstructured":"Yin P, Luo P, Lee W-C, Wang M (2013) App recommendation: a contest between satisfaction and temptation. In: Proceedings of the 6th ACM international conference on web search and data mining, pp 395\u2013404","DOI":"10.1145\/2433396.2433446"},{"key":"3755_CR45","doi-asserted-by":"crossref","unstructured":"Zhang M, Duan Y, Yin H, Zhao Z (2014) Semantics-aware android malware classification using weighted contextual API dependency graphs. In: Proceedings of the ACM SIGSAC conference on computer and communications security, pp 1105\u20131116","DOI":"10.1145\/2660267.2660359"},{"key":"3755_CR46","doi-asserted-by":"crossref","unstructured":"Zheng M, Sun M, Lui J (2013) Droid analytics: a signature based analytic system to collect, extract, analyze and associate android malware. In: Proceedings of the 12st IEEE international conference on trust, security and privacy in computing and communications, pp 163\u2013171","DOI":"10.1109\/TrustCom.2013.25"},{"key":"3755_CR47","doi-asserted-by":"crossref","unstructured":"Zhou W, Zhou Y, Grace M, Jian X, Zou S (2013) Fast, scalable detection of piggybacked mobile applications. In: Proceedings of the 3th ACM conference on data and application security and privacy, pp 185\u2013196","DOI":"10.1145\/2435349.2435377"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-019-03755-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-019-03755-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-019-03755-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,11]],"date-time":"2020-01-11T19:23:25Z","timestamp":1578770605000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-019-03755-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,12]]},"references-count":47,"journal-issue":{"issue":"17","published-print":{"date-parts":[[2019,9]]}},"alternative-id":["3755"],"URL":"https:\/\/doi.org\/10.1007\/s00500-019-03755-4","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,12]]},"assertion":[{"value":"12 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}