Android Apps Security Assessment using Sentiment Analysis Techniques: Comparative Study

Aljumah, Abeer; Altuwijri, Amjad; Alsuhaibani, Thekra; Selmi, Afef; Alruhaily, Nada

doi:10.3991/ijim.v15i24.27359

Cited by 2 publications

(3 citation statements)

References 17 publications

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“…Aljumah, Altuwijri et al [34] noted that determining the security of mobile applications was a difficult task and especially paid attention to trying to spot insecure apps, by analyzing user feedback on the Google Play platform and using sentiment analysis to determine the apps' level of security.…”

Section: Philips Healthsuite Healthmentioning

confidence: 99%

Identifying the Mutual Correlations and Evaluating the Weights of Factors and Consequences of Mobile Application Insecurity

Zaitseva

Hovorushchenko

Pavlova

et al. 2023

Systems

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Currently, there is a contradiction between the growing number of mobile applications in use and the responsibility that is placed on them, on the one hand, and the imperfection of the methods and tools for ensuring the security of mobile applications, on the other hand. Therefore, ensuring the security of mobile applications by developing effective methods and tools is a challenging task today. This study aims to evaluate the mutual correlations and weights of factors and consequences of mobile application insecurity. We have developed a method of evaluating the weights of factors of mobile application insecurity, which, taking into account the mutual correlations of mobile application insecurity consequences from these factors, determines the weights of the factors and allows us to conclude which factors are necessary to identify and accurately determine (evaluate) to ensure an appropriate level of reliability of forecasting and assess the security of mobile applications. The experimental results of our research are the evaluation of the weights of ten OWASP mobile application insecurity factors the identification of the mutual correlations of the consequences of mobile applications’ insecurity from these factors, and the identification of common factors on which more than one consequence depends.

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Section: Philips Healthsuite Healthmentioning

confidence: 99%

Identifying the Mutual Correlations and Evaluating the Weights of Factors and Consequences of Mobile Application Insecurity

Zaitseva

Hovorushchenko

Pavlova

et al. 2023

Systems

View full text Add to dashboard Cite

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“…Several health authorities with a wide network of digital solutions for controlling the spread of COVID-19 are using mobile applications to measure the proximity of contacts, whether by GPS, Bluetooth or other wireless technologies. Note that in [19] some European Union (EU) countries are funding a mobile application report to support the location of contacts in the fight against the pandemic. An application model that can be used on animals and individuals by means of a passive RFID tag without the presence of a smartphone, guarantees anonymous execution until the carriers have tested positive for COVID-19.…”

Section: Covid-19 Apps and The Social Need For Energymentioning

confidence: 99%

“…An application model that can be used on animals and individuals by means of a passive RFID tag without the presence of a smartphone, guarantees anonymous execution until the carriers have tested positive for COVID-19. The data is sent to the IoT component hardware [19].…”

Section: Covid-19 Apps and The Social Need For Energymentioning

confidence: 99%

Estimating the Cost of Wasted Energy During Overcharging Smartphones and Using COVID19 Apps

Almasri

Gouveia

Fernandes

2022

Int. J. Interact. Mob. Technol.

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Energy wastage through irresponsible smartphone use comprises a significant sum. Using a secondary desk-based literature review, this paper evaluates con-temporary literature to calculate an approximate estimate of the amount of energy wasted through irresponsible smartphone use by US users on an annual basis. Conservative estimates purely based on overcharging of smartphones in the US suggest that the figure is in excess of US$400m per annum. A variety of factors contribute to irresponsible smartphone use, which are predominantly behavioral in nature. This paper highlights some of the impacts of excessive smartphone use and considers steps which might be taken by users themselves to reduce energy wastage during smartphone use. In addition, suggestions are made to manufac-turers to help them ‘nudge’ users into more responsible behavior through the principles of behavioral economics.

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Android Apps Security Assessment using Sentiment Analysis Techniques: Comparative Study

Cited by 2 publications

References 17 publications

Identifying the Mutual Correlations and Evaluating the Weights of Factors and Consequences of Mobile Application Insecurity

Identifying the Mutual Correlations and Evaluating the Weights of Factors and Consequences of Mobile Application Insecurity

Estimating the Cost of Wasted Energy During Overcharging Smartphones and Using COVID19 Apps

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