{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T22:35:11Z","timestamp":1776638111063,"version":"3.51.2"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1109\/fmec49853.2020.9144833","type":"proceedings-article","created":{"date-parts":[[2020,7,21]],"date-time":"2020-07-21T17:29:00Z","timestamp":1595352540000},"page":"325-330","source":"Crossref","is-referenced-by-count":35,"title":["A Fog-Augmented Machine Learning based SMS Spam Detection and Classification System"],"prefix":"10.1109","author":[{"given":"Sahar","family":"Bosaeed","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iyad","family":"Katib","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rashid","family":"Mehmood","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref32","author":"herrmann","year":"2009","journal-title":"Website Fingerprinting Attacking Popular Privacy Enhancing Technologies with the Multinomial Na&#x00EF;ve-Bayes Classifier"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2001576.2001816"},{"key":"ref30","first-page":"1795","article-title":"Using evolutionary learning classifiers to do mobile spam (SMS) filtering","author":"junaid","year":"0","journal-title":"GECCO Genetic Evolut Comput Conf"},{"key":"ref10","first-page":"1","article-title":"Towards SMS Spam Filtering: Results under a New Dataset","volume":"2","author":"almeida","year":"2016","journal-title":"Int J Inf Secur Sci"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.10.017"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.14257\/ijsia.2015.9.1.31"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.4304\/jnw.9.9.2462-2467"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2046614.2046618"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2666785"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2012.211"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.02.053"},{"key":"ref18","author":"chen","year":"2011","journal-title":"Creating A Live Public Short Message Service Corpus The NUS Sms Corpus"},{"key":"ref19","author":"hammad","year":"2015","journal-title":"An Approach for Detecting Spam in Arabic Opinion Reviews"},{"key":"ref28","year":"0","journal-title":"Class InfoGainAttributeEval"},{"key":"ref4","first-page":"4624","article-title":"SMS Spam Filtering Application Using Android","volume":"5","author":"sethi","year":"2014","journal-title":"Int J Comput Sci Inf Technol"},{"key":"ref27","year":"0","journal-title":"The Lovins stemming algorithm"},{"key":"ref3","year":"2012","journal-title":"Android mobiles hit by spamming computer virus - BBC News"},{"key":"ref6","first-page":"275","article-title":"SMS Spam Detection Using Simple Message Content Features","volume":"4","author":"mujtaba","year":"2014","journal-title":"J Basic Appl Sci Res"},{"key":"ref29","year":"0","journal-title":"How to Perform Feature Selection With Machine Learning Data in Weka"},{"key":"ref5","first-page":"1046","author":"abulaish","year":"2012","journal-title":"Graph-Based Learning Model for Detection of SMS Spam on Smart Phones"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.12.034"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2602945.2602950"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/INISTA.2012.6246947"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2014.06.010"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-13705-2"},{"key":"ref20","first-page":"1","article-title":"Mobile SMS Spam Filtering based on Mixing Classifiers","volume":"1","author":"najadat","year":"2014","journal-title":"Int J Adv Comput Res"},{"key":"ref22","year":"0","journal-title":"UCI Machine Learning Repository"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CIT.2011.23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2516760.2516772"},{"key":"ref23","year":"0","journal-title":"SMS Spam Collection"},{"key":"ref26","year":"0","journal-title":"StopWords list based on Rainbow statistical text&#x00B7; GitHub"},{"key":"ref25","year":"0","journal-title":"Weka 3 - Data Mining with Open Source Machine Learning Software in Java"}],"event":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","location":"Paris, France","start":{"date-parts":[[2020,4,20]]},"end":{"date-parts":[[2020,4,23]]}},"container-title":["2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9141176\/9144692\/09144833.pdf?arnumber=9144833","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T11:47:13Z","timestamp":1656330433000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9144833\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/fmec49853.2020.9144833","relation":{},"subject":[],"published":{"date-parts":[[2020,4]]}}}