Android OS Research Articles

Android malware defense through a hybrid multi-modal approach

The rapid proliferation of Android apps has given rise to a dark side, where increasingly sophisticated malware poses a formidable challenge for detection. To combat this evolving threat, we present an explainable hybrid multi-modal framework. This framework leverages the power of deep learning, with a novel model fusion technique, to illuminate the hidden characteristics of malicious apps. Our approach combines models (leveraging late fusion approach) trained on attributes derived from static and dynamic analysis, hence utilizing the unique strengths of each model. We thoroughly analyze individual feature categories, feature ensembles, and model fusion using traditional machine learning classifiers and deep neural networks across diverse datasets. Our hybrid fused model outperforms others, achieving an F1-score of 99.97% on CICMaldroid2020. We use SHAP (SHapley Additive exPlanations) and t-SNE (t-distributed Stochastic Neighbor Embedding) to further analyze and interpret the best-performing model. We highlight the efficacy of our architectural design through an ablation study, revealing that our approach consistently achieves over 99% detection accuracy across multiple deep learning models. This paves the way groundwork for substantial advancements in security and risk mitigation within interconnected Android OS environments.

COMPARATIVE ANALYSIS OF METHODS AND MODELS FOR ESTIMATING SIZE AND EFFORT IN DESIGNING MOBILE APPLICATIONS

Mobile applications have long become an integral part of everyday life and have gained popularity among ordinary users, small companies, and large enterprises. However, this is a completely separate area of software. We can say that this is a whole separate ecosystem. Creating functional software for this ecosystem comes with new requirements, constraints, and characteristics that were not used in previous software metrics evaluation methods such as desktop programs or web applications. Mobile applications have new features, limitations and capabilities that are different from other software. Estimating the size and effort helps the software development team approximate the costs needed to more successfully develop a software product such as a mobile application. An early estimate of size and effort is necessary to identify resources that can help in the early stages of implementation a software project within budget and on time. The reliability of the assessment is also of great importance. Low reliability can lead to overestimation or underestimation, which can have bad consequences for any software development company, especially mobile applications. However, the suitability of methods and models for measuring size and efforts that are used for traditional software (PC applications and web applications) do not always provide sufficient reliability for mobile applications.The main goal of this article is to analyze the usage of various methods and models for estimating size and effort the development of mobile applications, including for the Android OS at the initial stages of their design. There is a brief description of the main and widespread methods and models that are used to estimate the size and effort, such as: Lines of Code (LOC), Function Points (FP), COCOMO and COCOMO 2, COSMIC, FiSMA, application of regression analysis for construction of mathematical models. The methods and models proposed by various authors are directly analyzed.

PENGENDALI PINTAR DALAM PENGONTROLAN LAMPU DAN KIPAS MENGGUNAKAN BLUETOOTH

The evolution of mobile technology has revolutionized it from a mere communication tool to a versatile platform capable of handling images, videos, documents, and controlling other devices such as TVs. The Android OS gives developers the flexibility to create applications that meet the diverse needs of users. This shift has made smartphones indispensable, supporting tasks from browsing to entertainment and productivity. The popularity of Android ensures seamless integration with existing hardware for efficient application performance. This research aims to design a smart home device control system, focusing on lights and fans via Android on an Arduino Nano microcontroller. Android's affordability and development through third-party applications make it ideal for smart home systems. Integrating the Arduino Nano and the EMS Blue Shield Bluetooth module improves convenience and energy efficiency. Its limitations include control of basic functions (lights, fan speed) and Android smartphones with Bluetooth. This study aims to design a practical control system and understand the device operation and Android communication. The test results of data transmission response time (latency) show that the average response time of the system for five days is 122.3 ms, with small variations and standard deviations between 2.81 ms and 3.92 ms. The range of response time ranged from 118 ms to 130 ms.

SCI-AR: ENHANCE SCIENCE LEARNING THROUGH AUGMENTED REALITY

This research work is focused on development of a mobile augmented reality application, for use in helping kids with learning problem in science class. Science per se has inherent features that are abstract in nature, thus complicating the processes of learning and at the same time giving a negative outlook towards science. In this regard, the application has the use of graphics and symbols combining with the use of AR that enhances understanding and leads to involvement of students. It can be on Android OS for mobile phones with Unity3D and ARFoundation/ARCore as the development tools. Acceptance of consumer Credit has used the Technology Acceptance Model for developing its theoretical modelling of prediction. In making the system, the development model of Agile Methodology Model has been adopted. This study tries to apply a new approach that enhances the learners’ motivation and confidence in science learning without pre-empting any other teaching strategy. As for the application of a mobile and graphically augmented reality, it raises a lot of potential for improvement of science learning for children with certain learning difficulties in this new, interactive type of format.

MHealth devices demonstrate validity and reliability in detecting steps in chronic stroke survivors who rely on assistive devices

PurposeTo assess the concurrent validity and reliability of five mHealth devices (STEPZ, Health, Pacer, Google Fit, and Fitbit Inc.®) in counting steps among individuals with chronic stroke using assistive devices (AD). Our primary objective was to identify significant variations in step counts between AD users and non-users. MethodsIn a cross-sectional study, individuals performed a 2-min walking test while carrying two smartphones (Android OS and iOS) equipped with four different applications (STEPZ, Health, Pacer, and Google Fit), alongside a Fitbit Inc.® device. A visual video recording served as criterion-standard measure for step counting. Each participant completed four walking trials. Two proficient researchers conducted data collection in a controlled environment at a single day. ResultsTwenty-four individuals were included. The devices were valid for individuals in individuals with chronic stroke who used AD (0.52 ≤ r ≥ 0.89), except for Health (iOS). There is no agreement between the criterion-standard and Health (iOS), and all other devices showed adequate reliability (0.107 ≤ CCI [2, 1] ≥ 0.701). There was no difference in stepping counting when the individuals used or not the AD. ConclusionsHealth for iOS is neither valid nor reliable for individuals with chronic stroke who are AD users. There is no difference in step counting were when the individuals with chronic stroke are users or non-users of AD.

Android malware detection through centrality analysis of applications network

Android OS is a widely-used platform for mobile devices. However, with the increasing number of Android applications and ongoing advancements in application development, there is a need for flexible and scalable malware detection methods that can address the challenges posed by big data. Recently, researchers have developed methods based on complex network analysis that aim to reduce the complexity and enhance the scalability of malware detection. These methods have shown high accuracy in identifying Android malware. Our proposed method involves generating two weighted graphs that depict the relationships between applications in benign and malware states, respectively, by extracting the functions of each application. Network-analysis-based features are then extracted from the graphs and combined with static application features to distinguish malware applications from benign ones. Our approach demonstrated an increase in accuracy, achieving 99% and 98% accuracy on the DataMD and IntDroid datasets, respectively. We further demonstrate our proposed method’s superiority against state-of-the-art approaches.

Investigating Documented Privacy Changes in Android OS

Android has empowered third-party apps to access data and services on mobile devices since its genesis.This involves a wide spectrum of user privacy-sensitive data, such as the device ID and location. In recent years, Android has taken proactive measures to adapt its access control policies for such data, in response to the increasingly strict privacy protection regulations around the world. When each new Android version is released, its privacy changes induced by the version evolution are transparently disclosed, and we refer to them as documented privacy changes (DPCs). Implementing DPCs in Android OS is a non-trivial task, due to not only the dispersed nature of those access control points within the OS, but also the challenges posed by backward compatibility. As a result, whether the actual access control enforcement in the OS implementations aligns with the disclosed DPCs becomes a critical concern. In this work, we conduct the first systematic study on the consistency between the operational behaviors of the OS at runtime and the officially disclosed DPCs. We propose DopCheck, an automatic DPC-driven testing framework equipped with a large language model (LLM) pipeline. It features a serial of analysis to extract the ontology from the privacy change documents written in natural language, and then harnesses the few-shot capability of LLMs to construct test cases for the detection of DPC-compliance issues in OS implementations. We apply DopCheck with the latest versions (10 to 13) of Android Open Source Project (AOSP). Our evaluation involving 79 privacy-sensitive APIs demonstrates that DopCheck can effectively recognize DPCs from Android documentation and generate rigorous test cases. Our study reveals that the status quo of the DPC-compliance issues is concerning, evidenced by 19 bugs identified by DopCheck. Notably, 12 of them are discovered in Android 13 and 6 in Android 10 for the first time, posing more than 35% Android users to the risk of privacy leakage. Our findings should raise an alert to Android users and app developers on the DPC compliance issues when using or developing an app, and would also underscore the necessity for Google to comprehensively validate the actual implementation against its privacy documentation prior to the OS release.

Four Quadrant Operation of DC Motor Controlled by Android Application

Abstract: The project is designed to develop a four quadrant speed control system for a DC motor. The motor is operated in four quadrants i.e. clockwise; counter clock-wise, forward brake and reverse brake. It also has a feature of speed control. The four quadrant operation of the dc motor is best suited for industries where motors are used and as per requirement as they can rotate in clockwise, counter-clockwise and also apply brakes immediately in both the directions. In case of a specific operation in industrial environment, the motor needs to be stopped immediately. In such scenario, this proposed system is very apt as forward brake and reverse brake are its integral features. Instantaneous brake in both the directions happens as a result of applying a reverse voltage across the running motor for a brief period and the speed control of the motor can be achieved with the PWM pulses generated by the microcontroller. The microcontroller used in this project is from 8051 family. Remote operation is achieved by any smart-phone/Tablet etc., with Android OS, upon a GUI (Graphical User Interface) based touch screen operation. Bluetooth device is provided to connect with android application device for the operation of the motor which are interfaced to the microcontroller that provides an input signal to it and in turn controls the speed of the motor through a motor driver IC. This project can be enhanced by using higher power electronic devices to operate high capacity DC motors. Regenerative braking for optimizing the power consumption can also be incorporated

Mobile Tracking System Using SMTP Protocol

Abstract: The objective of this project is to enhance mobile security through a robust Android application capable of tracking, locking, and recovering lost or stolen mobile devices. Utilizing the capabilities of Android devices, the system offers real-time tracking, remote locking, device wiping, and geo fencing features. It supports Android OS and allows users to control their devices remotely via SMS commands or through a web-based dashboard using their account credentials. Users can track the location of their device, remotely lock it, and even manipulate the camera to capture images of the possessor. The rising incidence of mobile device theft, which often results in unauthorized access and personal data breaches, underscores the importance of this sophisticated Mobile Tracking System (MTS). This system addresses these security concerns by providing comprehensive functionalities that enhance user safety and device recovery.

Mobile healthcare application on Android OS using cloud computing

Mobile healthcare application on Android OS using cloud computing

MANAGEMENT OF IT PROJECTS IN THE FIELD OF GAMEDEV

In the work, an analytical review of the most relevant state in the field of IT project management in the game studio, which releases its products on Microsoft Windows and Android OS platforms, is carried out. The data was collected between the last quarter of 2023 and the first quarter of 2024 by an employee of this company and is reliable at this time. The company that provided the data for writing the article has been on the Ukrainian market for more than six years and is well-known on digital distribution platforms such as Steam and Epic Store. Information from periodicals devoted to business analytics, finance, and project management was also used.

Optimized Solution for Digital College Management System

The College Management System is a Android OS based software application designed to make paper-less and digitalize colleges. The system helps colleges to manage and organize the Attendance more efficiently and Placement, enabling them to attract and retain top talent.The CMS offers features such as job posting and Apply. Take Attendance and view the Attendance list, and write applications for specific faculty. And time-table upload and view.The CMS simplifies the entire college student and faculty profile and activity and reduces the administrative workload on paperThe system also provides a better student experience by allowing them to apply online, track their application status, and receive timely updates on their progress. In conclusion, the College Management System is a powerful tool that helps students and faculty to communicate easily and share activities without paper. The system offers a range of features and benefits that make it. Keywords: Android Development ,College Management System , Optimisation , Student Dashboard

Modern Floating Greenhouses: Planting Gray Oyster Mushrooms with Advanced Management Technology Including Mobile Phone Algorithms and Arduino Remote Control

A floating greenhouse for growing oyster mushrooms can be operated remotely via a mobile phone. This innovative system can enhance mushroom production and quality while saving time. By using the Android OS operating system on a mobile phone (Internet Mobile Device with Android OS, MGT Model: T10), users can adjust the humidity and temperature within the greenhouse. This approach is particularly beneficial for older adults. Create a smart floating greenhouse that can be controlled remotely to cultivate oyster mushrooms. It would help to enhance the quality of the mushrooms, reduce the time required for cultivation, and increase the yield per planting area. We carefully examined the specifications and proceeded to create a greenhouse that could float. In addition, we have developed a unit that could control temperature and humidity, a solar cell unit, and a rack for growing mushrooms. Our greenhouses were operated remotely. To determine the best conditions for growing plants in a floating greenhouse, we conducted a test to measure temperature and humidity. We then compared our findings to those of a traditional greenhouse test and determined the optimal parameters for floating greenhouse growth. These parameters include growth time, temperature, humidity, and weight. A mushroom nursery that can be controlled remotely and floats on water consists of four main components: a structure to regulate temperature and humidity, solar cells, and mushroom racks. Research shows that mushrooms grown under this automated control system grow better than those grown through traditional methods. The harvest period is shorter, and the yield is higher than the typical yield of 1.81–1.22. When considering the construction and use of remote-controlled floating mushroom nurseries, the daily weight of mushrooms accounted for 20.22%. The company’s investment return rates were found to be 3.47 years, or 580.21 h per year, which is higher than the yield of traditional methods. This mobile phone remote control system, created by Arduino, is tailor-made for cutting-edge floating greenhouses that grow grey oyster mushrooms. It can be operated with ease via mobile devices and is especially user-friendly for elderly individuals. This system enables farmers to produce a high volume of quality breeds. Furthermore, those with fish ponds can utilize the system to increase their profits.

Мобильное приложение для экспресс-контроля стресса как инструмент снижения риска деятельности инсайдеров в организации

The article discusses the need to monitor the psychological state of the organization’s employees in order to identify potential stress. To solve this task, a mobile application for Android OS has been developed, designed for rapid testing in order to monitor the potential stress state of employees on a daily basis. The proposed application helps improve the efficiency of monitoring the psychological state of employees and helps identify potential insiders in the organization.

Antie-theft Device Tracking System

This project's goal is to develop an Android application that offers SMS-based location tracking capabilities for Android devices. We can also follow the images of the individual who took our Android phone. This function supports Android OS and sends and receives emails and SMS in response to calls. With simple SMS commands, you can track your Android device. Tracing a location: We can use basic SMS commands to locate the misplaced phone. In a theft gadget, the camera can be remotely manipulated to take pictures. It is said of mobile gadgets that they are portable and that a person can carry them from one place to another. Mobile device theft occurs frequently, and the current system watches users' walking patterns and movements.

The effects of reverse logistics on organizational performance of pharmaceutical manufacturing companies: A case study in the Ashanti region of Ghana

There is a growing concern on how pharmaceutical products are managed in the market when they are damaged or reach end of life. As the society becomes informed, Pharmaceutical industries are experiencing the challenge of complying with many regulatory requirements from various regulatory institutions. Reverse logistics sometimes referred to as “product-take-back” is seen as one of the concepts as the wider concept of green supply chain management that can possibly address this problem. The study seeks to examine the effects of reverse logistics on organizational performance in the Pharmaceutical Manufacturing Companies in Ashanti region. A descriptive cross-sectional study was used to obtain empirical evidence to help address the existing gap. The study considered all Pharmaceutical Manufacturing Companies in the region and therefore census sampling was done. The study sample consisted of 30 managers of Pharmaceutical industries. Thirty (30) top managers of Pharmaceutical Manufacturing Companies were recruited using a simple random sampling technique. With the aid of the Open Data Kit (ODK) software designed for Android OS, data was collected using mobile phone device. The results indicated that reverse logistics forms part of the strategic positions of most pharmaceutical manufacturing companies in Kumasi (83.3%), and it has a positive effect on performance (r=0.44, p=0.015). Assurance of information quality systems (r=0.60, p=0.00) and promotion of collaboration among the actors of the supply chain (r=0.74, p=0.00) have positive effect on the performance of pharmaceutical companies. To ensure higher returns on investment in pharmaceutical manufacturing companies, stakeholders should encourage and welcome efforts that seek to guarantee and foster information quality systems, collaboration among supply chain actors, and the adoption of reverse logistics systems.

Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families

Abstract As it is well known, mobile phones have become a basic gadget for any individual that usually stores sensitive information. This mainly motivates the increase in the number of attacks aimed at jeopardizing smartphones, being an extreme concern above all on Android OS, which is the most popular platform in the market. Consequently, a strong effort has been devoted for mitigating mentioned incidents in recent years, even though few researchers have addressed the application of visualization techniques for the analysis of malware. Within this field, the present work proposes the extension of a new technique called Hybrid Unsupervised Exploratory Plots to visualize Android malware datasets. More precisely, the novel Beta-Hebbian Learning (BHL) method is applied for the first time and validated under the frame of Hybrid Unsupervised Exploratory Plots, in conjunction with clustering methods. The informative visualization achieved provides a picture of the structure of the malware families, allowing subsequent analysis of their organization. To validate the Hybrid Unsupervised Exploratory Plot extension and its tuning, the popular Android Malware Genome dataset has been used in the experimental setting. Promising results have been obtained, suggesting that BHL applied in combination with clustering techniques in Hybrid Unsupervised Exploratory Plots are a viable resource for the visualization of malware families.

Home Automation Lighting System using Bluetooth

The main objective of this project is to develop a home automation system using Arduino board with Bluetooth being remotely controlled by any Android OS smart phone. As technology is advancing so houses are also getting smarter. Modern houses are gradually shifting from conventional switches to centralized control system, involving remote controlled switches. presently, conventional wall switches located in different parts of the house makes it difficult for the user to go near them to operate. Even more it becomes more difficult for the elderly or physically handicapped people to do so. Remote controlled home automation system provides a most modern solution with smart phones. In order to achieve this, a Bluetooth module is interfaced to the Arduino board at the receiver end while on the transmitter end, a GUI application on the cell phone sends ON/OFF commands to the receiver where loads are connected. Wireless technologies are becoming more popular around the world and the consumers appreciate this wireless lifestyle which gives them relief from the well known“ cable chaos” that tends to grow under their desk. Now with the embedded Bluetooth technology, digital devices form a network in which the appliances and devices can communicate with each other. Today, home automation is one of the major applications of Bluetooth technology. Operating over an unlicensed, globally available frequency of 2.4GHz, it can link digital devices within a range of 10m to 100m at the speed of up to 3Mbps depending on the Bluetooth device class. With this capability of Bluetooth; we propose a home automation system based on Bluetooth technology.

The Height Pole: Measuring plot height using a single‐point LiDAR sensor

AbstractPlant canopy height is an essential trait for phenomics and plant breeding. Despite its importance, height is still largely measured by manual means with a ruler and notepad. Here, we present the Height Pole, a novel single‐point LiDAR (SPL)‐based instrument to measure and record plant and canopy height in the field quickly, reliably, and accurately. An SPL was mounted on the top of a pole and aimed downwards at an adjustable paddle that was positioned at the desired height. A custom app, written for Android OS, saved the plant height data from the SPL to a tablet. The Height Pole was tested against a ruler in the lab, in a field trial setting, and by multiple operators. Indoor and outdoor testing found no significant differences between a ruler and the Height Pole measurements. A test with five operators revealed that measuring, recording, transcribing, and digitizing were on average 20 s per plot slower with a ruler than with the Height Pole. The Height Pole required only one operator to measure and record data, reduced operator fatigue, and by directly writing the data to a .CSV file eliminated transcription errors. These improvements make it easier to collect crop height data on large experiments rapidly and accurately with low input costs.

Voice-guided Mobile Assistance for the Visually Impaired

In today's digital age, mobile apps have transformed our daily lives, but for people with visual impairments, these apps often present accessibility challenges. This research addresses the need for improved solutions by focusing on "voice-guided assistance" for Android smartphones. The existing options for visually impaired users are fragmented, and this study aims to create an integrated mobile application, "Voice Companion," designed to enhance their digital experience. "Voice-Companion" is a specialized Android application designed for visually impaired individuals, developed in Java within the Android Studio environment. It leverages the Android OS to provide comprehensive non-visual access. With features like voice commands, object detection, messaging, a voice-activated calculator, location and time announcements, text-to-speech capabilities, and battery status updates, the user-friendly app bridges accessibility gaps, empowering visually impaired users for equal participation in the digital realm. Its modular, user-centric design emphasizes accessibility through seamless integration of voice commands and gesture recognition, facilitating efficient interactions with mobile devices. This research aims to create "Voice-Companion," enhancing smartphone accessibility through seamless voice command integration and gesture recognition. Anticipated results include improved digital engagement and quality of life for users with visual impairments.