Searching Grade Scheme and Malware Recognition Within Google Play Application

International Journal of Scientific Research in Science and Technology ◽

10.32628/ijsrst196177 ◽

2019 ◽

pp. 08-12

Author(s):

Karthika A

Keyword(s):

Left Behind ◽

Preceding Work ◽

Grade Scheme ◽

Android App ◽

Percent Accuracy ◽

Google Play ◽

Deceptive Behaviors

To introduce FairPlay, a work of fiction system that discover and leverages traces left behind by fraudsters, to distinguish both malware and apps subjected to investigate status fraud. FairPlay associate review behavior and distinctively combine detect review associations with linguistic and behavioral signals gleaned from Google Play app records (87 K apps, 2.9 M reviews, and 2.4M reviewers, unruffled over half a year), in order to organize suspicious apps. FairPlay achieves over 95 percent accuracy in classify gold regular datasets of malware, counterfeit and legitimate apps. Deceptive behaviors in Google Play, the most trendy Android app market, fuel Search rank abuse and malware proliferation. To make out malware, preceding work has paying attention on app executable and acquiescence analysis. It will show that 75 percent of the acknowledged malware apps engage in hunt rank fraud. FairPlay discover hundreds of fraudulent apps that presently evade Google Bouncer’s recognition machinery.

Download Full-text

Identification of Fraud Apps Using Sentiment Analysis Techniques

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v15i23.27361 ◽

2021 ◽

Vol 15 (23) ◽

pp. 178-185

Author(s):

Abeer Aljumah ◽

Amjad Altuwijri ◽

Thekra Alsuhaibani ◽

Afef Selmi ◽

Nada Alruhaily

Keyword(s):

Sentiment Analysis ◽

User Feedback ◽

Sensitive Data ◽

User Reviews ◽

Analysis Techniques ◽

Android App ◽

Fake Reviews ◽

Google Play

Considering that application’s security is an important aspect, especially nowadays with the increase in technology and the number of fraudsters. It should be noted that determining the security of an application is a difficult task, especially since most fraudsters have become skilled and professional at manipulating people and stealing their sensitive data. Therefore, we pay attention to spot insecure apps by analyzing user feedback on Google Play platform using sentiment analysis. As it is known, user reviews reflect their experiments and experiences in addition to their feelings and satisfaction with the application. But unfortunately, not all of these reviews are real, fake reviews do not reflect the sincerity of feelings, so we have been keen in our work to filter the reviews and deliver accurate and correct results. This tool is useful for both users wanting to install an android app and for developers interested in app’s optimization.

Download Full-text

Mobile-Assisted Pronunciation Training: The Google Play Pronunciation and Phonetics Application

Script Journal Journal of Linguistic and English Teaching ◽

10.24903/sj.v5i2.487 ◽

2020 ◽

Vol 5 (2) ◽

pp. 70-88

Author(s):

Fitria Meisarah

Keyword(s):

Mobile Applications ◽

Mobile Application ◽

Video Camera ◽

App Store ◽

Suprasegmental Features ◽

English Pronunciation ◽

Android App ◽

The University ◽

Google Play

Background: Several obstacles to pronunciation have been proposed and urged students to practice pronunciation deliberately. Regardless of these problematic, mobile applications can be a great assistant in pronunciation training. However, considering that Google Play is the most prominent android app store with 227,970 instructional devices, it is challenging to find and select pronunciation and phonetics applications. Students should be conscious of their needs by recognizing the proper mobile application for pronunciation learning. This study explores the pronunciation applications utilized by students for pronunciation learning in and out of the classroom. Methodology: This study administered the data with paper reports and interviews accompanying students. This study involved 41 students who were taking a pronunciation and phonetics course at the University of Kutai Kartanegara Tenggarong. Findings: Nine such applications, as reviewed in this study, are divided into two categories: English pronunciation special purpose (EPSP) application and English dictionary assisted pronunciation (EDAP) application. Noteworthy findings were not all of the applications fulfill the content and design approaches such the suprasegmental features, audio playback, and video camera recorder. Conclusion: This study endeavors to have a critical look at four applications recommended after concerning the term of Mobile Assisted Pronunciation Training (MAPT). They are AV Phonetic, English Phonetic Pronunciation, Listening Practice, English Pronunciation developed by Kepham, and U-Dictionary to assist pronunciation learning in and out of the classroom. Keywords: Pronunciation and phonetics; mobile application; MAPT

Download Full-text

LutzoDex™—A digital key for Brazilian sand flies (Diptera, Phlebotominae) within an Android App

Zootaxa ◽

10.11646/zootaxa.4688.3.4 ◽

2019 ◽

Vol 4688 (3) ◽

pp. 382-388

Author(s):

DOUGLAS DE ALMEIDA ROCHA ◽

MAXWELL RAMOS DE ALMEIDA ◽

JAINAINE ABRANTES DE SENA BATISTA ◽

ANDREY JOSÉ DE ANDRADE

Keyword(s):

Geographical Distribution ◽

Mobile Application ◽

Sand Fly ◽

Sand Flies ◽

Leishmania Spp ◽

Data Source ◽

Android App ◽

Google Play

Here we present an Android mobile application (app) for the identification of Brazilian phlebotomine sand fly species. The app, which is named LutzoDex™, relies on information included in a data source with morphological and morphometrical characters. This tool can present up to seven answer options to a question. Images of morphological structures can be referenced to make identification easier, and users can see a list of possible species based on the features they report. Maps are also used to determine the geographical distribution and whether the species is incriminated or suspected as a vector of Leishmania spp. in Brazil. The app is available free of charge in both English and Portuguese in the Google Play Store at https://play.google.com/store/apps/details?id=max.com.lutzodex&hl=pt_BR.

Download Full-text

Studying Android App Popularity by Cross-Linking GitHub and Google Play Store

2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER) ◽

10.1109/saner.2019.8667998 ◽

2019 ◽

Cited By ~ 3

Author(s):

John Businge ◽

Moses Openja ◽

David Kavaler ◽

Engineer Bainomugisha ◽

Foutse Khomh ◽

...

Keyword(s):

Cross Linking ◽

Android App ◽

Google Play

Download Full-text

Analytics for measuring library use and satisfaction of mobile apps

Library Hi Tech News ◽

10.1108/lhtn-04-2021-0014 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Simran Kaur ◽

Rupak Chakravarty

Keyword(s):

Design Methodology ◽

Mobile Apps ◽

Mobile App ◽

Content Type ◽

Library Use ◽

Artificial Intelligence Algorithm ◽

Android App ◽

Google Play ◽

Insight Into ◽

User Review

Purpose User review is a significant component of mobile app markets such as the Google Play Store, App Store, Microsoft Store and others. Users submit their reviews for downloaded apps on these sites in the form of star ratings and text reviews. Apps can contain huge volumes of feedback, making it difficult for the user and the developer to skim through thousands of such reviews to get an insight into usage and impact of such apps. Thus, the current study aims to assess the usage and satisfaction among users of the Mendeley’s Android app vs iOS app. Design/methodology/approach The analytics are performed by using Appbot analytics software which captured, monitored, measured and analyzed the review results for a particular period. Appbot provides easy-to-understand insights of an app using artificial intelligence algorithm tools. Findings The findings of the study reveal strong inclination, adoption and usage of Mendeley’s Android app compared to that of iOS among users. Originality/value The value of this research is in getting an insight of the pattern/behavior of users towards using apps on different platforms (Android vs iOS) and provides valuable results for the app developers in monitoring usage and enhancing features for the satisfaction of users. Without mobile app analytics, one will be blindly trying out different things without any evidence to back up their experiments.

Download Full-text

Treatment Fidelity Procedures for an Aphasia Intervention Within a Randomized Controlled Trial: Design, Feasibility, and Results

American Journal of Speech-Language Pathology ◽

10.1044/2019_ajslp-cac48-18-0227 ◽

2020 ◽

Vol 29 (1S) ◽

pp. 412-424

Author(s):

Elissa L. Conlon ◽

Emily J. Braun ◽

Edna M. Babbitt ◽

Leora R. Cherney

Keyword(s):

Randomized Controlled Trial ◽

Controlled Trial ◽

Treatment Protocol ◽

Treatment Fidelity ◽

Protocol Adherence ◽

Study Condition ◽

Randomized Controlled ◽

Aphasia Therapy ◽

Percent Accuracy ◽

Over Time

Purpose This study reports on the treatment fidelity procedures implemented during a 5-year randomized controlled trial comparing intensive and distributed comprehensive aphasia therapy. Specifically, the results of 1 treatment, verb network strengthening treatment (VNeST), are examined. Method Eight participants were recruited for each of 7 consecutive cohorts for a total of 56 participants. Participants completed 60 hr of aphasia therapy, including 15 hr of VNeST. Two experienced speech-language pathologists delivered the treatment. To promote treatment fidelity, the study team developed a detailed manual of procedures and fidelity checklists, completed role plays to standardize treatment administration, and video-recorded all treatment sessions for review. To assess protocol adherence during treatment delivery, trained research assistants not involved in the treatment reviewed video recordings of a subset of randomly selected VNeST treatment sessions and completed the fidelity checklists. This process was completed for 32 participants representing 2 early cohorts and 2 later cohorts, which allowed for measurement of protocol adherence over time. Percent accuracy of protocol adherence was calculated across clinicians, cohorts, and study condition (intensive vs. distributed therapy). Results The fidelity procedures were sufficient to promote and verify a high level of adherence to the treatment protocol across clinicians, cohorts, and study condition. Conclusion Treatment fidelity strategies and monitoring are feasible when incorporated into the study design. Treatment fidelity monitoring should be completed at regular intervals during the course of a study to ensure that high levels of protocol adherence are maintained over time and across conditions.

Download Full-text