(Un/Semi-)supervised SMS text message SPAM detection

2014 ◽  
Vol 21 (4) ◽  
pp. 553-567 ◽  
Author(s):  
CHRIS R. GIANNELLA ◽  
RANSOM WINDER ◽  
BRANDON WILSON

AbstractWe address the problem of unsupervised and semi-supervised SMS (Short Message Service) text message SPAM detection. We develop a content-based Bayesian classification approach which is a modest extension of the technique discussed by Resnik and Hardisty in 2010. The approach assumes that the bodies of the SMS messages arise from a probabilistic generative model and estimates the model parameters by Gibbs sampling using an unlabeled, or partially labeled, SMS training message corpus. The approach classifies new SMS messages as SPAM or HAM (non-SPAM) by zero-thresholding their logit estimates. We tested the approach on a publicly available SMS corpora collected from the UK. Used in semi-supervised fashion, the approach clearly outperformed a competing algorithm, Semi-Boost. Used in unsupervised fashion, the approach outperformed a fully supervised classifier, an SVM (Support Vector Machine), when the number of training messages used by the SVM was small and performed comparably otherwise. We believe the approach works well and is a useful tool for SMS SPAM detection.

10.2196/13558 ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. e13558
Author(s):  
Rebecca J Bartlett Ellis ◽  
James H Hill ◽  
K Denise Kerley ◽  
Arjun Sinha ◽  
Aaron Ganci ◽  
...  

10.2196/12547 ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. e12547 ◽  
Author(s):  
Alexandra M Psihogios ◽  
Yimei Li ◽  
Eliana Butler ◽  
Jessica Hamilton ◽  
Lauren C Daniel ◽  
...  

JMIR Diabetes ◽  
10.2196/12985 ◽  
2019 ◽  
Vol 4 (2) ◽  
pp. e12985 ◽  
Author(s):  
Henry H Fischer ◽  
Michael J Durfee ◽  
Silvia G Raghunath ◽  
Natalie D Ritchie

2018 ◽  
Vol 3 (02) ◽  
Author(s):  
Rosalina Rosalina ◽  
Wahyu Hidayat

<p>Short Message Service (SMS) has limitation in the length of its text message, which only provides 160 characters per SMS. It means that if we send more than 160 characters, it will be considered as sending more than one SMS, so that we have to spend more cost for sending SMS. On the other side, the Arithmetic Coding algorithm provides an effective mechanism for text compression. It has performed the great compression result and in many case it was considered as the better compression algorithm than other ones, such as Huffman and LZW (Lempel-Ziv-Welch). This research will implement the Arithmetic Coding algorithm to develop an application that will compress the SMS text message. The concept of Arithmetic Coding will be implemented to compress the SMS text message before it is sent from the sender to the receiver. The application is called CheaperZipper (CZ). This application will handle the sending and receiving SMS in the hand phone by preceding the compression and decompression process. </p>


2019 ◽  
Author(s):  
Rebecca J Bartlett Ellis ◽  
James H Hill ◽  
K Denise Kerley ◽  
Arjun Sinha ◽  
Aaron Ganci ◽  
...  

BACKGROUND As many as 50% of people experience medication nonadherence, yet studies for detecting nonadherence and delivering real-time interventions to improve adherence are lacking. Mobile health (mHealth) technologies show promise to track and support medication adherence. OBJECTIVE The study aimed to evaluate the feasibility and acceptability of using an mHealth system for medication adherence tracking and intervention delivery. The mHealth system comprises a smart button device to self-track medication taking, a companion smartphone app, a computer algorithm used to determine adherence and then deliver a standard or tailored SMS (short message service) text message on the basis of timing of medication taking. Standard SMS text messages indicated that the smartphone app registered the button press, whereas tailored SMS text messages encouraged habit formation and systems thinking on the basis of the timing the medications were taken. METHODS A convenience sample of 5 adults with chronic kidney disease (CKD), who were prescribed antihypertensive medication, participated in a 52-day longitudinal study. The study was conducted in 3 phases, with a standard SMS text message sent in phases 1 (study days 1-14) and 3 (study days 46-52) and tailored SMS text messages sent during phase 2 (study days 15-45) in response to participant medication self-tracking. Medication adherence was measured using: (1) the smart button and (2) electronic medication monitoring caps. Concordance between these 2 methods was evaluated using percentage of measurements made on the same day and occurring within ±5 min of one another. Acceptability was evaluated using qualitative feedback from participants. RESULTS A total of 5 patients with CKD, stages 1-4, were enrolled in the study, with the majority being men (60%), white (80%), and Hispanic/Latino (40%) of middle age (52.6 years, SD 22.49; range 20-70). The mHealth system was successfully initiated in the clinic setting for all enrolled participants. Of the expected 260 data points, 36.5% (n=95) were recorded with the smart button and 76.2% (n=198) with electronic monitoring. Concordant events (n=94), in which events were recorded with both the smart button and electronic monitoring, occurred 47% of the time and 58% of these events occurred within ±5 min of one another. Participant comments suggested SMS text messages were encouraging. CONCLUSIONS It was feasible to recruit participants in the clinic setting for an mHealth study, and our system was successfully initiated for all enrolled participants. The smart button is an innovative way to self-report adherence data, including date and timing of medication taking, which were not previously available from measures that rely on recall of adherence. Although the selected smart button had poor concordance with electronic monitoring caps, participants were willing to use it to self-track medication adherence, and they found the mHealth system acceptable to use in most cases.


2018 ◽  
Author(s):  
Castaka Agus Sugianto ◽  
Tri Herdiawan Apandi

Pesan singkat atau Short Message Service (SMS) merupakan fasilitas yang ada di telepon seluler. Dengan fasilitas pesan singkat ini banyak yang menyalah gunakan pesan singkat tersebut. Spam SMS adalah proses mengirimkan SMS secara terus menerus tanpa di kehendeaki oleh penerimanya baik berupa iklan, jasa maupun penipuan yang dilakukan lewat telepon seluler yang dapat merugikan pengguna. Banyak cara yang yang dilakukan untuk mencegah spam SMS ini. Salah satunya adalah dengan penyaringan spam SMS, penelitian ini bertujuan untuk menyaring spam SMS dengan menggunakan algoritma Support Vector Machine (SVM) sehingga dapat memprediksi mana spam SMS dan mana yang bukan spam SMS. Pesan SMS yang dikumpulkan di lakukan preprosessing dengan melakukan kategorisasi, akronim, tokenisasi, stop word, pemecahan isi SMS, pembobotan, pemilihan fitur, pembuatan fitur vector, melakukan pelatihan untuk menghasilkan sebuah model. Pada penilitian ini menunjukan hasil akurasi yang terbaik dihasil dari pemecahan kata 4-grams. Sehingga untuk menguraikan/ pemecah kata yang tepat akan menghasilkan akurasi yang baik.


2018 ◽  
Vol 4 (3) ◽  
pp. 110
Author(s):  
Angga Aditya Permana

<p><em>Abstrak</em> - <strong>Perkembangan teknologi khususnya dalam bidang komunikasi antar manusia sudah sangat mudah dilakukan dengan telepon genggam dan fiturnya sangat bervariasi. Pertukaran informasi jarak jauh ini menuntut keamanan terhadap kerahasiaan informasi yang dipertukarkan. Oleh karena itu, metode kriptografi dilakukan untuk mengamankan informasi tersebut. Salah satu metode kriptografi untuk penyandian teks adalah metode Vigenere Cipher. Penelitian ini bertujuan untuk membangun aplikasi kriptografi teks pesan pada smartphone berbasis android dengan metode Vigenere Cipher. Metode ini mengenkripsi teks pesan menjadi pesan rahasia yang kemudian hasilnya diteruskan sebagai teks pesan ke aplikasi pengiriman pesan seperti aplikasi SMS (Short Message Service), Whatsapp, Line, dan sejenisnya untuk selanjutnya didekripsi. Penelitian ini menghasilkan aplikasi berbasis android yang dapat mengirimkan teks pesan terenkripsi menggunakan metode Vigenere Cipher untuk memberikan keamanan lebih pada proses pertukaran informasi.</strong></p><p><em><strong>Kata Kunci</strong> – Cryptography, Vigenere Cipher, Android.</em></p><p><em>Abstract</em> – <strong>Mobile phones and its various features allow humans to communicate in this technology development era. The information secrecy especially during long range information exchange is very noteworthy. So that, those information can be protected by cryptography method. Vigenere Cipher is one of cryptography method for text encoding. The aim of this study is to construct application of text message cryptography on android Smartphone using Vigenere Cipher method. This method encrypted text message into secret message then forwarded this information to other applications like SMS (Short Message Service), Whatsapp, Line and so on then being decrypted. Android based application was resulted which allow to send encrypted text message using Vigenere Cipher to provide more security in the process of information exchange.</strong></p><p><em><strong>Keywords</strong> - Cryptography, Vigenere Cipher, Android.</em></p>


Author(s):  
Odukoya Oluwatoyin ◽  
◽  
Akinyemi Bodunde ◽  
Gooding Titus ◽  
Aderounmu Ganiyu

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