Comparative analysis of Android and iOS from security viewpoint

Garg, Shivi; Baliyan, Niyati

doi:10.1016/j.cosrev.2021.100372

Cited by 57 publications

(23 citation statements)

References 16 publications

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“…However, there are possibilities of malware attacks to exploit some vulnerabilities in the applications developed by various users, because the Google Play Store will not detect some vulnerabilities when publishing applications in the Play Store as in Apple App Store [12].…”

Section: Built-in Securitymentioning

confidence: 99%

Android Mobile Malware Detection Using Machine Learning: A Systematic Review

2021

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With the increasing use of mobile devices, malware attacks are rising, especially on Android phones, which account for 72.2% of the total market share. Hackers try to attack smartphones with various methods such as credential theft, surveillance, and malicious advertising. Among numerous countermeasures, machine learning (ML)-based methods have proven to be an effective means of detecting these attacks, as they are able to derive a classifier from a set of training examples, thus eliminating the need for an explicit definition of the signatures when developing malware detectors. This paper provides a systematic review of ML-based Android malware detection techniques. It critically evaluates 106 carefully selected articles and highlights their strengths and weaknesses as well as potential improvements. Finally, the ML-based methods for detecting source code vulnerabilities are discussed, because it might be more difficult to add security after the app is deployed. Therefore, this paper aims to enable researchers to acquire in-depth knowledge in the field and to identify potential future research and development directions.

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Section: Built-in Securitymentioning

confidence: 99%

Android Mobile Malware Detection Using Machine Learning: A Systematic Review

2021

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“…• 1.c) definição da estratégia de buscas: os repositórios de aplicativos e de códigofonte usados para as buscas são escolhidos nesta atividade. Para o perfil de profissional da saúde sugere-se o uso do Google Play Store 3 , repositório oficial para Android, sendo este o sistema operacional para dispositivos móveis mais utilizado atualmente [Garg and Baliyan 2021]. Para o perfil de desenvolvedor de software sugere-se o uso do Github 4 , o qual se trata do repositório para gerência, hospedagem e versionamento de código-fonte mais utilizado atualmente [Ye et al 2021].…”

Section: Figura 1 Visão Geral Do Protocolo Adaptadounclassified

Protocolo de Mapeamento Sistemático para Busca de Aplicativos de Saúde em Repositórios Não-acadêmicos

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Peres²

2021

Anais Do I Workshop De Práticas De Ciência Aberta Para Engenharia De Software (OpenScienSE 2021)

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Este artigo apresenta um trabalho em andamento de adaptação de um protocolo de mapeamento sistemático da literatura para o levantamento de aplicativos de software de saúde em repositórios não-acadêmicos de aplicativos e código-fonte. Foram elaborados dois guias de utilização do protocolo ajustados para profissionais de saúde e desenvolvedores de software. Espera-se que estes guias auxiliem na obtenção de resultados mais rigorosos e imparciais nestas pesquisas. Um estudo de viabilidade será conduzido na próxima etapa deste trabalho para o refinamento do protocolo e dos guias de aplicação.

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“…The Android platform provides not only the mobile operating system itself, but also a custom built virtual machine (Dalvik Virtual Machine [7]) for the applications to run on as well as acting as the middleware between code and operating system. iOS is the operating system for Apple devices, and the application for iOS is written in objective-C [8]. Web-based OS is an operating system on which the application developed by HTML, JavaScript，CSS.…”

Section: Related Workmentioning

confidence: 99%

B2GPAPI: an Efficient Framework Providing C/C++ Runtime in Web-based OS

2021

Proceedings of 2021 the 11th International Workshop on Computer Science and Engineering

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In the Internet era, mobile devices have become more and more popular because of their portability. Web-based operating system (OS) is a mobile operating system based on web technologies and has great potential for growth. However, mobile applications are mainly developed for Android and iOS, and cannot run in a Web-based OS due to the incompatibility between different platforms. Aiming to expand the application ecosystem of the Web-based OS and based on the fact that many mature applications' low-level code is written in C/C++, we propose B2GPAPI, a framework that provides a runtime for C/C++ applications in the Web-based OS. B2GPAPI makes it possible that existing mature mobile applications can directly run in a Web-based OS. To implement the framework, on the one hand, we employ the

Comparative analysis of Android and iOS from security viewpoint

Cited by 57 publications

References 16 publications

Android Mobile Malware Detection Using Machine Learning: A Systematic Review

Android Mobile Malware Detection Using Machine Learning: A Systematic Review

Protocolo de Mapeamento Sistemático para Busca de Aplicativos de Saúde em Repositórios Não-acadêmicos

B2GPAPI: an Efficient Framework Providing C/C++ Runtime in Web-based OS

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