{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T16:29:54Z","timestamp":1770222594651,"version":"3.49.0"},"publisher-location":"Republic and Canton of Geneva, Switzerland","reference-count":58,"publisher":"International World Wide Web Conferences Steering Committee","license":[{"start":{"date-parts":[[2015,5,18]],"date-time":"2015-05-18T00:00:00Z","timestamp":1431907200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,5,18]]},"DOI":"10.1145\/2736277.2741084","type":"proceedings-article","created":{"date-parts":[[2016,2,5]],"date-time":"2016-02-05T20:37:12Z","timestamp":1454704632000},"page":"949-959","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":24,"title":["Early Detection of Spam Mobile Apps"],"prefix":"10.1145","author":[{"given":"Suranga","family":"Seneviratne","sequence":"first","affiliation":[{"name":"NICTA, Sydney, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aruna","family":"Seneviratne","sequence":"additional","affiliation":[{"name":"NICTA, Sydney, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed Ali","family":"Kaafar","sequence":"additional","affiliation":[{"name":"NICTA, Sydney, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anirban","family":"Mahanti","sequence":"additional","affiliation":[{"name":"NICTA, Sydney, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prasant","family":"Mohapatra","sequence":"additional","affiliation":[{"name":"University of California, Davis, Davis, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,5,18]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"http:\/\/detectlanguage.com","author":"API.","year":"2013","unstructured":"Language Detection API. http:\/\/detectlanguage.com , 2013 . Language Detection API. http:\/\/detectlanguage.com, 2013."},{"key":"e_1_3_2_1_2_1","volume-title":"http:\/\/privmetrics.org\/publications","year":"2014","unstructured":"PrivMetrics. http:\/\/privmetrics.org\/publications , 2014 . PrivMetrics. http:\/\/privmetrics.org\/publications, 2014."},{"key":"e_1_3_2_1_3_1","volume-title":"Learning to filter spam e-mail: A comparison of a naive bayesian and a memory-based approach. arXiv preprint cs\/0009009","author":"Androutsopoulos I.","year":"2000","unstructured":"I. Androutsopoulos , G. Paliouras , V. Karkaletsis , G. Sakkis , C. D. Spyropoulos , and P. Stamatopoulos . Learning to filter spam e-mail: A comparison of a naive bayesian and a memory-based approach. arXiv preprint cs\/0009009 , 2000 . I. Androutsopoulos, G. Paliouras, V. Karkaletsis, G. Sakkis, C. D. Spyropoulos, and P. Stamatopoulos. Learning to filter spam e-mail: A comparison of a naive bayesian and a memory-based approach. arXiv preprint cs\/0009009, 2000."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2005.135"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014062"},{"key":"e_1_3_2_1_6_1","volume-title":"Proc. of the 2010 CEAS.","author":"Benevenuto F.","unstructured":"F. Benevenuto , G. Magno , T. Rodrigues , and V. Almeida . Detecting spammers on Twitter . In Proc. of the 2010 CEAS. F. Benevenuto, G. Magno, T. Rodrigues, and V. Almeida. Detecting spammers on Twitter. In Proc. of the 2010 CEAS."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-009-9109-6"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2046614.2046619"},{"key":"e_1_3_2_1_9_1","volume-title":"A stylometry system for authenticating students taking online tests","author":"Canales O.","year":"2011","unstructured":"O. Canales , V. Monaco , T. Murphy , E. Zych , A stylometry system for authenticating students taking online tests . Pace University , 2011 . O. Canales, V. Monaco, T. Murphy, E. Zych, et al. A stylometry system for authenticating students taking online tests. Pace University, 2011."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2184305.2184317"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1099554.1099671"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1321440.1321486"},{"key":"e_1_3_2_1_13_1","first-page":"182","volume-title":"Computer Security--ESORICS","author":"Crussell J.","year":"2013","unstructured":"J. Crussell , C. Gibler , and H. Chen . Andarwin: Scalable detection of semantically similar Android applications . In Computer Security--ESORICS 2013 , pages 182 -- 199 . Springer . J. Crussell, C. Gibler, and H. Chen. Andarwin: Scalable detection of semantically similar Android applications. In Computer Security--ESORICS 2013, pages 182--199. Springer."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/72.788645"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1964114.1964121"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.peva.2007.06.014"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1017074.1017077"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1037\/h0057532"},{"key":"e_1_3_2_1_19_1","volume-title":"Proc. of the 13th ICML","author":"Freund Y.","year":"1996","unstructured":"Y. Freund and R. E. Schapire . Experiments with a new boosting algorithm . In Proc. of the 13th ICML , 1996 . Y. Freund and R. E. Schapire. Experiments with a new boosting algorithm. In Proc. of the 13th ICML, 1996."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1166160.1166191"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2568225.2568276"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2307636.2307663"},{"key":"e_1_3_2_1_23_1","first-page":"576","volume-title":"Proc. of the 13th VLDB","author":"Gyongyi Z.","year":"2004","unstructured":"Z. Gyongyi , H. Garcia-Molina , and J. Pedersen . Combating web spam with trustrank . In Proc. of the 13th VLDB , pages 576 -- 587 . VLDB Endowment , 2004 . Z. Gyongyi, H. Garcia-Molina, and J. Pedersen. Combating web spam with trustrank. In Proc. of the 13th VLDB, pages 576--587. VLDB Endowment, 2004."},{"key":"e_1_3_2_1_24_1","volume-title":"App store review guidelines. https:\/\/developer.apple.com\/app-store\/review\/","author":"Apple. Inc.","year":"2014","unstructured":"Apple. Inc. App store review guidelines. https:\/\/developer.apple.com\/app-store\/review\/ , 2014 . Apple. Inc. App store review guidelines. https:\/\/developer.apple.com\/app-store\/review\/, 2014."},{"key":"e_1_3_2_1_25_1","volume-title":"Common app rejections. https:\/\/developer.apple.com\/app-store\/review\/rejections\/","author":"Apple. Inc.","year":"2014","unstructured":"Apple. Inc. Common app rejections. https:\/\/developer.apple.com\/app-store\/review\/rejections\/ , 2014 . Apple. Inc. Common app rejections. https:\/\/developer.apple.com\/app-store\/review\/rejections\/, 2014."},{"key":"e_1_3_2_1_26_1","unstructured":"AVG Threat Labs. Inc. Website safety ratings and reputation. http:\/\/www.avgthreatlabs.com\/website-safety-reports 2014.  AVG Threat Labs. Inc. Website safety ratings and reputation. http:\/\/www.avgthreatlabs.com\/website-safety-reports 2014."},{"key":"e_1_3_2_1_27_1","volume-title":"http:\/\/developer.android.com\/distribute\/googleplay\/policies\/ads.html","author":"Google. Inc. Ads.","year":"2014","unstructured":"Google. Inc. Ads. http:\/\/developer.android.com\/distribute\/googleplay\/policies\/ads.html , 2014 . Google. Inc. Ads. http:\/\/developer.android.com\/distribute\/googleplay\/policies\/ads.html, 2014."},{"key":"e_1_3_2_1_28_1","volume-title":"Google Play developer program policies. https:\/\/play.google.com\/about\/developer-content-policy.html","author":"Google. Inc.","year":"2014","unstructured":"Google. Inc. Google Play developer program policies. https:\/\/play.google.com\/about\/developer-content-policy.html , 2014 . Google. Inc. Google Play developer program policies. https:\/\/play.google.com\/about\/developer-content-policy.html, 2014."},{"key":"e_1_3_2_1_29_1","unstructured":"Google. Inc. Intellectual property. http:\/\/developer.android.com\/distribute\/googleplay\/policies\/ip.html 2014.  Google. Inc. Intellectual property. http:\/\/developer.android.com\/distribute\/googleplay\/policies\/ip.html 2014."},{"key":"e_1_3_2_1_30_1","volume-title":"Rating your application content for GooglePlay. https:\/\/support.google.com\/googleplay\/android-developer\/answer\/188189","author":"Google. Inc.","year":"2014","unstructured":"Google. Inc. Rating your application content for GooglePlay. https:\/\/support.google.com\/googleplay\/android-developer\/answer\/188189 , 2014 . Google. Inc. Rating your application content for GooglePlay. https:\/\/support.google.com\/googleplay\/android-developer\/answer\/188189, 2014."},{"key":"e_1_3_2_1_31_1","volume-title":"http:\/\/developer.android.com\/distribute\/googleplay\/","author":"Google. Inc. Spam.","year":"2014","unstructured":"Google. Inc. Spam. http:\/\/developer.android.com\/distribute\/googleplay\/ , 2014 . Google. Inc. Spam. http:\/\/developer.android.com\/distribute\/googleplay\/, 2014."},{"key":"e_1_3_2_1_32_1","unstructured":"Oracle. Inc. Naming a package. http:\/\/docs.oracle.com\/javase\/tutorial\/java\/package\/namingpkgs.html 2014.  Oracle. Inc. Naming a package. http:\/\/docs.oracle.com\/javase\/tutorial\/java\/package\/namingpkgs.html 2014."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242759"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1341531.1341560"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00043-X"},{"key":"e_1_3_2_1_36_1","volume-title":"Proc. of the 2006 AIRWeb.","author":"Krishnan V.","unstructured":"V. Krishnan and R. Raj . Web spam detection with anti-trust rank . In Proc. of the 2006 AIRWeb. V. Krishnan and R. Raj. Web spam detection with anti-trust rank. In Proc. of the 2006 AIRWeb."},{"key":"e_1_3_2_1_37_1","volume-title":"Proc. of the 2005 CEAS.","author":"Leiba B.","unstructured":"B. Leiba , J. Ossher , V. Rajan , R. Segal , and M. N. Wegman . SMTP path analysis . In Proc. of the 2005 CEAS. B. Leiba, J. Ossher, V. Rajan, R. Segal, and M. N. Wegman. SMTP path analysis. In Proc. of the 2005 CEAS."},{"key":"e_1_3_2_1_38_1","volume-title":"Proc. of 2006 CEAS.","author":"Metsis V.","unstructured":"V. Metsis , I. Androutsopoulos , and G. Paliouras . Spam filtering with naive Bayes-which naive Bayes? In Proc. of 2006 CEAS. V. Metsis, I. Androutsopoulos, and G. Paliouras. Spam filtering with naive Bayes-which naive Bayes? In Proc. of 2006 CEAS."},{"key":"e_1_3_2_1_39_1","volume-title":"Proc. of the 2005 AIRWeb.","author":"Mishne G.","unstructured":"G. Mishne , D. Carmel , and R. Lempel . Blocking blog spam with language model disagreement . In Proc. of the 2005 AIRWeb. G. Mishne, D. Carmel, and R. Lempel. Blocking blog spam with language model disagreement. In Proc. of the 2005 AIRWeb."},{"key":"e_1_3_2_1_40_1","first-page":"207","volume-title":"Proc. of the 2010 EMNLP","author":"Mukherjee A.","year":"2010","unstructured":"A. Mukherjee and B. Liu . Improving gender classification of blog authors . In Proc. of the 2010 EMNLP , pages 207 -- 217 . Association for Computational Linguistics , 2010 . A. Mukherjee and B. Liu. Improving gender classification of blog authors. In Proc. of the 2010 EMNLP, pages 207--217. Association for Computational Linguistics, 2010."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/1135777.1135794"},{"key":"e_1_3_2_1_42_1","volume-title":"Dissecting the Android bouncer. https:\/\/jon.oberheide.org\/files\/summercon12-bouncer.pdf","author":"Oberheide J.","year":"2012","unstructured":"J. Oberheide and C. Miller . Dissecting the Android bouncer. https:\/\/jon.oberheide.org\/files\/summercon12-bouncer.pdf , 2012 . J. Oberheide and C. Miller. Dissecting the Android bouncer. https:\/\/jon.oberheide.org\/files\/summercon12-bouncer.pdf, 2012."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2005.132"},{"key":"e_1_3_2_1_44_1","first-page":"95","volume-title":"Proc. of AAAI-98 Workshop on Learning for Text Categorization","author":"Pantel P.","year":"1998","unstructured":"P. Pantel , D. Lin , : A spam classification & organization program . In Proc. of AAAI-98 Workshop on Learning for Text Categorization , pages 95 -- 98 , 1998 . P. Pantel, D. Lin, et al. Spamcop: A spam classification & organization program. In Proc. of AAAI-98 Workshop on Learning for Text Categorization, pages 95--98, 1998."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/2382196.2382224"},{"key":"e_1_3_2_1_46_1","unstructured":"S. Perez. Developer spams Google Play with ripoffs of well-known apps again. http:\/\/techcrunch.com 2013.  S. Perez. Developer spams Google Play with ripoffs of well-known apps again. http:\/\/techcrunch.com 2013."},{"key":"e_1_3_2_1_47_1","unstructured":"S. Perez. Nearly 60K low-quality apps booted from GooglePlay Store in February. http:\/\/techcrunch.com 2013.  S. Perez. Nearly 60K low-quality apps booted from GooglePlay Store in February. http:\/\/techcrunch.com 2013."},{"key":"e_1_3_2_1_48_1","unstructured":"S. Perez. iTunes App Store now has 1.2 million apps has seen 75 billion downloads to date. http:\/\/techcrunch.com 2014.  S. Perez. iTunes App Store now has 1.2 million apps has seen 75 billion downloads to date. http:\/\/techcrunch.com 2014."},{"key":"e_1_3_2_1_49_1","unstructured":"D. Rowinski. Apple iOS App Store adding 20 000 apps a month hits 40 billion downloads. http:\/\/readwrite.com 2013.  D. Rowinski. Apple iOS App Store adding 20 000 apps a month hits 40 billion downloads. http:\/\/readwrite.com 2013."},{"key":"e_1_3_2_1_50_1","first-page":"98","volume-title":"Learning for Text Categorization: Papers from the 1998 workshop","author":"Sahami M.","year":"1998","unstructured":"M. Sahami , S. Dumais , D. Heckerman , and E. Horvitz . A Bayesian approach to filtering junk e-mail . In Learning for Text Categorization: Papers from the 1998 workshop , volume 62 , pages 98 -- 105 , 1998 . M. Sahami, S. Dumais, D. Heckerman, and E. Horvitz. A Bayesian approach to filtering junk e-mail. In Learning for Text Categorization: Papers from the 1998 workshop, volume 62, pages 98--105, 1998."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277813"},{"key":"e_1_3_2_1_52_1","volume-title":"NICTA","author":"Seneviratne S.","year":"2014","unstructured":"S. Seneviratne , A. Seneviratne , D. Kaafar , A. Mahanti , and P. Mohapatra . Why my app got deleted: Detection of spam mobile apps. Technical report , NICTA , Australia , 2014 . S. Seneviratne, A. Seneviratne, D. Kaafar, A. Mahanti, and P. Mohapatra. Why my app got deleted: Detection of spam mobile apps. Technical report, NICTA, Australia, 2014."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/2636242.2636244"},{"key":"e_1_3_2_1_55_1","volume-title":"Proc. of the 21st TREC","author":"Soboroff I.","year":"2012","unstructured":"I. Soboroff , I. Ounis , J. Lin , and I. Soboroff . Overview of the TREC-2012 microblog track . In Proc. of the 21st TREC , 2012 . I. Soboroff, I. Ounis, J. Lin, and I. Soboroff. Overview of the TREC-2012 microblog track. In Proc. of the 21st TREC, 2012."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/2591971.2592003"},{"key":"e_1_3_2_1_57_1","first-page":"1","volume-title":"Proc. of the 2010 SECRYPT","author":"Wang A. H.","year":"2010","unstructured":"A. H. Wang . Don't follow me : Spam detection in Twitter . In Proc. of the 2010 SECRYPT , pages 1 -- 10 . IEEE, 2010 . A. H. Wang. Don't follow me: Spam detection in Twitter. In Proc. of the 2010 SECRYPT, pages 1--10. IEEE, 2010."},{"key":"e_1_3_2_1_58_1","volume-title":"http:\/\/en.wikipedia.org\/wiki\/","year":"2014","unstructured":"Wikipedia. Wikipedia:lists of common misspellings. http:\/\/en.wikipedia.org\/wiki\/ , 2014 . Wikipedia. Wikipedia:lists of common misspellings. http:\/\/en.wikipedia.org\/wiki\/, 2014."},{"key":"e_1_3_2_1_59_1","volume-title":"Proc. of the 2012 NDSS.","author":"Zhou Y.","unstructured":"Y. Zhou , Z. Wang , W. Zhou , and X. Jiang . Hey, you, get off of my market: Detecting malicious apps in official and alternative Android markets . In Proc. of the 2012 NDSS. Y. Zhou, Z. Wang, W. Zhou, and X. Jiang. Hey, you, get off of my market: Detecting malicious apps in official and alternative Android markets. In Proc. of the 2012 NDSS."}],"event":{"name":"WWW '15: 24th International World Wide Web Conference","location":"Florence Italy","acronym":"WWW '15","sponsor":["IW3C2 International World Wide Web Conference Committee","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the 24th International Conference on World Wide Web"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2736277.2741084","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2736277.2741084","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T06:16:37Z","timestamp":1750227397000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2736277.2741084"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,18]]},"references-count":58,"alternative-id":["10.1145\/2736277.2741084","10.5555\/2736277"],"URL":"https:\/\/doi.org\/10.1145\/2736277.2741084","relation":{},"subject":[],"published":{"date-parts":[[2015,5,18]]},"assertion":[{"value":"2015-05-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}