Android Application Development: A Brief Overview of Android Platforms and Evolution of Security Systems

Sarkar, Anirban; Goyal, Ayush; Hicks, David; Sarkar, Debadrita; Hazra, Saikat

doi:10.1109/i-smac47947.2019.9032440

Cited by 46 publications

(27 citation statements)

References 11 publications

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“…This study aims at the development of a mobile-based decision support system, which involves the development of a mobile application. The approach used in the development of the mobile application is the Android studio with JAVA programming language [20]. This approach was chosen due to the reasons that the Android mobile operating systems are widely used by the targeted users [21].…”

Section: B Approach For Mobile Application Developmentmentioning

confidence: 99%

“…This approach was chosen due to the reasons that the Android mobile operating systems are widely used by the targeted users [21]. Android Studio was selected because it is suitable for the development of Androidbased applications for smartphones with Android operating systems [20]. The minimal version of the Android operating system supported by the developed mobile application is Jelly Bean 4.3, this was selected because it is more inviting for the average user.…”

Section: B Approach For Mobile Application Developmentmentioning

confidence: 99%

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Mobile-based Decision Support System for Poultry Farmers: A Case of Tanzania

Shapa¹,

Trojer²,

Machuve³

2021

IJACSA

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Poultry farms in Tanzania are characterized by inadequate management practices which are mainly caused by the lack of adequate systems to guide the small-scale poultry farmers in decision making. It is well-established that information is a key factor in making effective decisions in numerous sectors including poultry farming. Furthermore, various researchers have identified the use of mobile decision support tools to be an effective way of aiding farmers in making informed decisions. In this paper, we present a mobile-based decision support system that will aid rural and small-scale poultry farmers in Tanzania to obtain reliable information that is crucial for making proper decisions in their farming activities. In this context, a mobile-based decision support system was achieved through a mobile application integrated with a chatbot assistant to provide a solution to various poultry farming-related problems and simplify their decision-making process. We used a data-driven approach towards developing an informational chatbot assistant for Android smartphones that is capable of interacting with small-scale poultry farmers through natural conversations by utilizing the RASA framework.

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Section: B Approach For Mobile Application Developmentmentioning

confidence: 99%

Section: B Approach For Mobile Application Developmentmentioning

confidence: 99%

Mobile-based Decision Support System for Poultry Farmers: A Case of Tanzania

Shapa¹,

Trojer²,

Machuve³

2021

IJACSA

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“…In addition, the App Graphical User Interface (GUI) was designed by fragments, layouts and string on the designing section of Android Studio applied using the Extensible Markup Language (XML). We evaluated user interface design, features, and functionality as well as the performance (speed) and security factor using high-fidelity prototypes developed with Java codes, PHP codes, MySQL and JavaScript Object Notation (JSON) [25]. The system has adopted a client-server model which operates Model View Controller (MVC) domain as a result of the requirements received.…”

Section: Solution Design and Developmentmentioning

confidence: 99%

“…Statistically, Android Operating System (OS) owns 83% of Africa's mobile OS market. In addition, 25,794,560 internet users reported by Tanzania Communications Regulatory Authority (TCRA) together with the 22.86 million internet users provided by Kenya Digital which is equivalent to 46% and 43% of internet penetration in year 2020, disclose the need for Android mobile application for mapping health facilities both online and offline using Google map API, which will solve residents' need to healthcare services on the presence or shortage of internet connections; using either Swahili or English language via Smartphone devices. The App incorporates Monitoring and Evaluation (M & E) tool for tracking application usage which will ease Admin's task to generate daily and monthly reports in Excel and Comma-Separated Values (CSV) formats.…”

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confidence: 99%

Online and Offline Android Based Mobile Application for Mapping Health Facilities Using Google Map API. Case Study: Tanzania and Kenya Borders

Alexander¹,

Leo²,

Kaijage³

2021

JSEA

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“…There are three types of Android Applications. Table 1 below shows Android OS applications comparison [14]. Table 1 shows that native applications are high on development cost, performance and user interface is better as compared to hybrid and third party applications which are fair/low in performance.…”

Section: Literature Review 21 Types Of Android Applicationsmentioning

confidence: 99%

A computational forensic framework for detection of hidden applications on android

Rasul

Latif

Jamail

2020

IJEECS

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<span>Smartphones, since their emergence has become a significant part of our lives and Android is popular of all. They are successful due to the increasing availability of user applications to answer every possible need, so it is of great importance to ensure security and privacy when handling personal and sensitive information of the user. To secure the data on mobile devices, users use applications available on the Google Play store, which help to hide data on their devices known as Hidden Applications. Hidden applications are categorized as one of the major applications used for data hiding and storing. These applications can be used to hide date from snooping, intrusion and against the data theft. Therefore, the proposed framework in this research helps to find either they store and hide data in efficient manner or not and if they do so either it is encrypted or not. In this paper, main objective is to identify the privacy threats which end users face by using such applications, analyse these application’s behaviour, working, their code to understand how data is hidden and if the information is encrypted, it can be retrieved or not. The work not only focuses on the identification of hidden data/apps; it also provides a mechanism to recover and reconstruct the data from these hidden parts of the memory. In the end, present the results obtained by using the proposed framework in a case file so that it can be used in a criminal court case.</span>

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Android Application Development: A Brief Overview of Android Platforms and Evolution of Security Systems

Cited by 46 publications

References 11 publications

Mobile-based Decision Support System for Poultry Farmers: A Case of Tanzania

Mobile-based Decision Support System for Poultry Farmers: A Case of Tanzania

Online and Offline Android Based Mobile Application for Mapping Health Facilities Using Google Map API. Case Study: Tanzania and Kenya Borders

A computational forensic framework for detection of hidden applications on android

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