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SMSAssassin

Kuldeep Yadav, Ponnurangam Kumaraguru, Atul Goyal, Ashish Gupta, Vinayak Naik
2011 Proceedings of the 12th Workshop on Mobile Computing Systems and Applications - HotMobile '11  
In our ongoing research, as an exploratory step, we have developed a mobile-based system SMSAssassin that can filter SMS spam messages based on bayesian learning and sender blacklisting mechanism.  ...  Content-based machine learning approaches were effective in filtering email spams. Researchers have used topical and stylistic features of the SMS to classify spam and ham.  ...  We would like to extend SMSAssassin to a user specific personalized mobile based spam filtering system. 3.  ... 
doi:10.1145/2184489.2184491 dblp:conf/wmcsa/YadavKGGN11 fatcat:57pqtvr62rgd7dlf5eubyo7p2y

Take Control of Your SMSes: Designing an Usable Spam SMS Filtering System

Kuldeep Yadav, Swetank K. Saha, Ponnurangam Kumaraguru, Rohit Kumra
2012 2012 IEEE 13th International Conference on Mobile Data Management  
SMSAssassin that uses content based machine learning techniques with user generated features to filter unwanted SMSes and reduces the burden of notifications for a mobile user.  ...  In this paper, we present design and implementation of a usercentric spam SMS filtering application i.e.  ...  Authors would like to thank Anshu Malhotra, Rushil Khurana and Dipesh Kumar Singh for their contributions in early version of SMSAssassin.  ... 
doi:10.1109/mdm.2012.54 dblp:conf/mdm/YadavSKK12 fatcat:ev7xvxl3szeibp7t35whp5kqke

Mobile computing systems and applications

Nicholas Skehin, Jaewoo Chung
2011 IEEE pervasive computing  
Saurabh Panjwani of Microsoft Research presented "SMSAssassin: Crowdsourcing Driven Mobile-Based System for SMS Spam Filtering," detailing efforts to build a system for spam filtering of SMS messages.  ...  The authors designed a filtering system by training two classification methods (Bayesian and support vector machine learning) on a crowdsourced dataset of 4,318 SMSs, attaining 97 percent accuracy for  ... 
doi:10.1109/mprv.2011.53 fatcat:wrhrl3paizd4veedsmmlgi7vv4

Blockchain-Based Crowdsourcing Makes Training Dataset of Machine Learning No Longer Be in Short Supply

Haitao Xu, Wei Wei, Yong Qi, Saiyu Qi, Alireza Souri
2022 Wireless Communications and Mobile Computing  
Crowdsourcing systems based on mobile computing seem to address the bottlenecks faced by machine learning due to their unique advantages; i.e., crowdsourcing can make professional and nonprofessional participate  ...  In this paper, we review studies applying mobile crowdsourcing to training dataset collection and annotation.  ...  [71] proposed a centralized crowdsourcing system called SMSAssassin, which was aimed at collecting spam mails. The system is effective to filter email spams.  ... 
doi:10.1155/2022/7033626 fatcat:6xc6wsi7ynaxnfhk2popfhxsma

SMS-Based Mobile Botnet Detection Framework Using Intelligent Agents

Abdullah J. Alzahrani, Ali A. Ghorbani
2017 Journal of Cyber Security and Mobility  
Efficient detection and defence techniques that use filtering and blocking methods for SMS botnets is therefore an urgent necessity.  ...  The first is an SMS signature-based detection module which can be used to combat SMS botnets, in which we first apply pattern-matching detection approaches for incoming and ii  ...  We also report the experimentation results on the IIIT-D SMS Spam Dataset [148] provided by the smsAssassin creators, which has 2,000 English SMS messages labelled as spam and ham.  ... 
doi:10.13052/jcsm2245-1439.523 fatcat:dkxeklymibgldpjr5fb6oebo3y

Let the Users be the Filter? Crowdsourced Filtering to Avoid Online Intermediary Liability 1

Ivar Hartmann
2017 Journal of the Oxford Centre for Socio-Legal Studies | Issue   unpublished
: crowdsourcing driven mobile-based system for SMS spam filtering' [2011] HotMobile '11 Proceedings of the 12th Workshop on Mobile Computing Systems and Applications 1-6.  ...  The authors describe how user input helped calibrate an algorithm for filtering spam in SMS texts. 80 See Henning Piezunka and Linus Dahlander, 'Distant Search, Narrow Attention: How Crowding Alters Organizations  ... 
fatcat:e6kczzd24needis2tokj4jqbce