scholarly journals Boyer Moore string-match framework for a hybrid short message service spam filtering technique

2021 ◽  
Vol 10 (3) ◽  
pp. 519
Author(s):  
Arnold Adimabua Ojugo ◽  
David Ademola Oyemade
Keyword(s):  
Network Structure ◽  
Text Message ◽  
Disruptive Technology ◽  
Spam Filtering ◽  
Markov Network ◽  
String Match ◽  
Short Text ◽  
Spam Filter ◽  
Message Service ◽  
Filtering Technique

Advances in technology and the proliferation of mobile device have continued to advance the ubiquitous nature of computing alongside their many prowess and improved features it brings as a disruptive technology to aid information sharing amongst many online users. This popularity, usage and adoption ease, mobility, and portability of the mobile smartphone devices have allowed for its acceptability and popularity. Mobile smartphones continue to adopt the use of short messages services accompanied with a scenario for spamming to thrive. Spams are unsolicited message or inappropriate contents. An effective spam filter studies are limited as short-text message service (SMS) are 140bytes, 160-characters, and rippled with abbreviation and slangs that further inhibits the effective training of models. The study proposes a string match algorithm used as deep learning ensemble on a hybrid spam filtering technique to normalize noisy features, expand text and use semantic dictionaries of disambiguation to train underlying learning heuristics and effectively classify SMS into legitimate and spam classes. Study uses a profile hidden Markov network to select and train the network structure and employs the deep neural network as a classifier network structure. Model achieves an accuracy of 97% with an error rate of 1.2%.

scholarly journals SPONGY (SPam ONtoloGY): Email Classification Using Two-Level Dynamic Ontology

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Seongwook Youn
Keyword(s):  
Experimental System ◽  
Experimental Results ◽  
The Internet ◽  
Spam Filtering ◽  
Spam Filter ◽  
Spam Filters ◽  
Filtering Technique ◽  
Communication Methods ◽  
Email Classification

Email is one of common communication methods between people on the Internet. However, the increase of email misuse/abuse has resulted in an increasing volume of spam emails over recent years. An experimental system has been designed and implemented with the hypothesis that this method would outperform existing techniques, and the experimental results showed that indeed the proposed ontology-based approach improves spam filtering accuracy significantly. In this paper, two levels of ontology spam filters were implemented: a first level global ontology filter and a second level user-customized ontology filter. The use of the global ontology filter showed about 91% of spam filtered, which is comparable with other methods. The user-customized ontology filter was created based on the specific user’s background as well as the filtering mechanism used in the global ontology filter creation. The main contributions of the paper are (1) to introduce an ontology-based multilevel filtering technique that uses both a global ontology and an individual filter for each user to increase spam filtering accuracy and (2) to create a spam filter in the form of ontology, which is user-customized, scalable, and modularized, so that it can be embedded to many other systems for better performance.

scholarly journals Mobile phone ownership and use of short text message service by farmer trainers: a case study of Olkalou and Kaptumo in Kenya

2015 ◽  
Author(s):  
Josephine Kirui ◽  
Wesley Maritim ◽  
Evelyne Kiptot ◽  
Sylvia Wafula ◽  
Joshua Ngaina ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Text Message ◽  
Short Text ◽  
Message Service

An Internet of Things (IoT) Project Based on a Text Messaging (SMS) Gateway Applied to a Pipeline SCADA System

2018 ◽  
Author(s):  
Marco Antonio D. Bezerra ◽  
Mateus da C. S. Cabral ◽  
Edson R. Santiago
Keyword(s):  
Internet Of Things ◽  
Mobile Communications ◽  
Text Messaging ◽  
Text Message ◽  
Text Messages ◽  
Short Message ◽  
Short Text ◽  
Log Files ◽  
Message Service ◽  
System Breakdown

The present work arose from problems occurred during the revamp of a pipeline SCADA (Supervisory Control and Data Acquisition) system at the beginning of 2012, when occurred some unexpected system crashes that could interrupt the operation of the second major Brazilian pipeline maritime terminal. Before a system breakdown, we observed some signs, like fail-overs in the event log files. If the development and maintenance crews were aware of these events not only the problem causes could be better understood, but also the imminent crash could have been avoided. A faster and autonomous way for the system communicates its problems was necessary. ACARS (Aircraft Communications Addressing and Reporting System) — a part of an autonomous communication system, which reports aircraft condition for a system on the ground, through satellite links and short messages — inspired us to develop an Internet of Things (IoT) system, using text messages (SMS, short message service) of the Global System for Mobile Communications (GSM). Autonomous and short text messages are the keywords that drove our work, and the solution came through a text message gateway — the solution to get information in advance. This presentation will discuss the idea, hardware and software components, message format, applications and future perspectives.

scholarly journals Can Faulty Modules Be Predicted by Warning Messages of Static Code Analyzer?

2012 ◽  
Vol 2012 ◽  
pp. 1-8
Author(s):  
Osamu Mizuno ◽  
Michi Nakai
Keyword(s):  
Conventional Method ◽  
Detection Method ◽  
Source Code ◽  
Spam Filtering ◽  
Good Source ◽  
Original Source ◽  
Warning Messages ◽  
Spam Filter ◽  
Module Prediction ◽  
Filtering Technique

We have proposed a detection method of fault-prone modules based on the spam filtering technique, “Fault-prone filtering.” Fault-prone filtering is a method which uses the text classifier (spam filter) to classify source code modules in software. In this study, we propose an extension to use warning messages of a static code analyzer instead of raw source code. Since such warnings include useful information to detect faults, it is expected to improve the accuracy of fault-prone module prediction. From the result of experiment, it is found that warning messages of a static code analyzer are a good source of fault-prone filtering as the original source code. Moreover, it is discovered that it is more effective than the conventional method (that is, without static code analyzer) to raise the coverage rate of actual faulty modules.

scholarly journals CONVERSATIONAL IMPLICATURE ANALYSIS OF TEXT MESSAGE BETWEEN NATIVE SPEAKR AND FOREIGN LANGUAGE SPEAKER OF ENGLISH

2017 ◽  
Vol 1 (1) ◽  
pp. 59-73
Author(s):  
Natalia Anggrarini
Keyword(s):  
Native Speaker ◽  
Text Message ◽  
Short Message ◽  
Conversational Implicature ◽  
Short Text ◽  
Cooperative Principle ◽  
Face To Face ◽  
Global Era ◽  
Message Service

In this global era, it is possible to do communication with native speaker of English. Thus, the need to master communicative competence of English communication is needed. Beside face to face communication, people are also need to be able to communicate in different way, such as chat via mobile phone. It is used to call as Short Message Service or SMS. This study is aimed to know the kinds of conversation that happened in their short text message for a month. The classification of conversation is according to the Grice (1975) the formulation of Cooperative Principle in which it is classified into Generalized Conversation Implicature and Particularized Conversational Implicature. The method used in this study is Descriptive Qualitative. It is used to interpret the data according to the conversational classification. The result of this study shows that 81. 25 % the conversations are classified into Generalized Conversational Implicature, and 18. 75% conversations are classified into Particularized Conversational Implicature.

scholarly journals Short Text Messages to Motivate HIV Testing Among Men Who have Sex with Men: A Qualitative Study in Lima, Peru

2013 ◽  
Vol 7 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Luis A Menacho ◽  
Magaly M Blas ◽  
Isaac E Alva ◽  
E Roberto Orellana
Keyword(s):  
Focus Groups ◽  
Hiv Testing ◽  
Text Messages ◽  
Message Content ◽  
Behavioral Skills ◽  
Short Text ◽  
Free Service ◽  
Message Service ◽  
Sex With Men ◽  
Two Stages

Objective: The objective of this study is to identify features and content that short message service (SMS) should have in order to motivate HIV testing among men who have sex with men (MSM) in Lima, Peru. Methods: From October, 2010 to February, 2011, we conducted focus groups at two stages; six focus groups were conducted to explore and identify SMS content and features and two additional focus groups were conducted to tailor SMS content. The text messages were elaborated within the theoretical framework of the Information-Motivation-Behavioral Skills model and the Social Support Theory. Results: A total of 62 individuals participated in the focus groups. The mean age of participants was 28 years (range 18-39). We identified important features and content items needed for the successful delivery of text messages, including: a) the use of neutral and coded language; b) appropriate frequency and time of delivery; c) avoiding mass and repetitive messages; and d) use of short, concise and creative messages. Although in Peru receiving text messages is usually a free service, it is important to remind participants that receiving messages will be free of charge. Conclusion: Text messages can be used to promote HIV testing among Peruvian MSM. It is important to consider adequate frequency, message content and cost when delivering messages to promote HIV testing in this population.

scholarly journals The Feasibility of a Using a Smart Button Mobile Health System to Self-Track Medication Adherence and Deliver Tailored Short Message Service Text Message Feedback

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 ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Health System ◽  
Mobile Health ◽  
Short Message Service ◽  
Text Message ◽  
Short Message ◽  
Message Service
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