A Survey on Mobile Security

The purpose of the work is to analyze, evaluate, and identify the advantages and disadvantages of mobile operating systems. The methodology used in the work, consists in determining the requirements for modern technologies for using mobile operating systems, which includes studying their advantages and disadvantages, investigated through the prism of updated technical and technological requirements for highly effective innovative information technologies, mediated by the development and improvement of technical means of functioning in the most used industries. The scientific novelty of the work lies in the study, analysis, comparison and identification of positive and negative criteria for the design, development and implementation of mobile operating systems as significant levers for ensuring efficiency and optimizing functioning in all industries that require mobility of decision-making in modern conditions. Conclusions. The factors influencing the development trends of mobile operating systems are identified, using the example of the introduction and implementation of iOS 26. The criteria are analyzed and the methods of updating the system in recent years are characterized. The main features of iOS 26 are studied: design, security, and the Apple ecosystem. The features of the updated design were tested and the main characteristics of the updated design were studied, and the quality of the implemented built-in artificial intelligence in the presented updated version was analyzed and assessed. The indisputability of the proposed updated flexible personalization and other elements that deserve analysis are established, and aspects that require further study, expansion, and improvement are identified. Research was conducted on the revolutionary design change of Liquid Glass and the updated operating system version numbering system was studied, and modern accessory security policies were evaluated, namely the control of connected devices in a locked state. Platform unification is being developed: synchronization of the design system between all Apple devices. Based on the criteria-based and phased analysis of the features of IOS26, Based on key security, design, and ecosystem characteristics, key factors have been updated to ensure the development of a methodology for further improving such mobile operating systems. Considered revolutionary design changes: Liquid Glass as the next stage of interface evolution, where it is determined that iOS 26 represents the first radical redesign of the system since iOS 7, based on a single design language of Liquid Glass. The proposed concept fundamentally changes Apple's approach to visual design, combining elements of glass morphism with dynamic effects. It has been found that unifying visual elements across all applications and system components creates a seamless experience across the entire Apple ecosystem, given the fact that the system also automatically adapts the intensity of effects depending on device performance and accessibility settings. The new operating system version numbering system was investigated and fundamental changes in the operating system branding strategy were identified, reflecting a long-term planning strategy for improving the mobile operating system and a focus on the future.

The current increase in smartphone users has caused various mobile device operating system companies to compete with each other to create a mobile device operating system that is suitable and acceptable to the public. Competition among mobile operating system market shares can be analyzed using the Lotka-Volterra model. This study aims to reconstruct the Lotka-Volterra model for the cellular operating system market share in Indonesia. In addition, a stability analysis was carried out, which aims to determine the stability of the competitive model for the market share of the operating system in Indonesia. The results of the study show that a competitive Lotka-Volterra model can be built on the Android and iOS operating system market share in Indonesia. In this model, there are four equilibrium points, one of which is unstable, and the other three equilibrium points are conditionally stable.

—The rapid advancement of mobile technologies has led to increasingly powerful and feature-rich devices, yet this progress has also intensified the challenge of managing energy consumption effectively. Power optimization has therefore become a critical focus in mobile operating systems (OS), aiming to balance performance, functionality, and energy efficiency. As mobile devices integrate more complex hardware components and resource-intensive applications, ensuring sustainable power usage has become essential for improving battery life, user experience, and environmental sustainability. This research explores the fundamental question: How can mobile operating systems intelligently manage hardware and software resources to minimize power consumption without compromising performance or usability? To address this, the study examines key power optimization strategies and mechanisms integrated within modern mobile OS architectures, including Dynamic Voltage and Frequency Scaling (DVFS), power-aware CPU scheduling, Doze and App Standby modes, adaptive display and sensor management, and network optimization. The research also investigates the role of advanced techniques such as context-aware power management and machine learning-based predictive models in achieving dynamic, intelligent energy control. Using tools like Trepn Profiler, PowerTutor, and Android Battery Historian, the study evaluates how power consumption patterns can be analyzed and optimized in real time. The findings reveal that combining hardware-level techniques (like voltage scaling and clock gating) with software-level optimizations (such as adaptive scheduling and contextual awareness) results in significant energy savings while maintaining user satisfaction. Furthermore, the study highlights emerging challenges, including the trade-offs between performance and energy efficiency, the integration of AI for predictive optimization, and the need for sustainability across the device lifecycle. Ultimately, this research demonstrates that power optimization in mobile operating systems is not merely a technical requirement but a cornerstone of sustainable computing. Through intelligent power management, future mobile OSs can achieve greater efficiency, extended device longevity, and reduced environmental impact aligning technological innovation with eco-efficiency and user-centric design.

While media buzz regularly circulates around iPhone and Android, Nokia still leads the pack in terms of world market share. Symbian, for instance, remains the most widely used mobile operating system. With Nokia's open development platform, the opportunities available for mobile developers to target this vastly popular operating system are abundant and clear. Use Qt to target both platforms: Symbian, the most widely used mobile operating system in the world, as well as MeeGo, the Intel/Nokia platform for mobile devices. Develop HTML5 applications for both Symbian and MeeGo platforms that will run with little modification on other mobile platforms. Novice developers learn the basics of Qt with a mobile slant, giving them the ability to target both desktop and mobile platforms. What youll learn How to do Qt basics What is QML or the Qt Markup Language What is Qt for Meego and how to use it and how to use it How to work with the Web Runtime Why mobile development is different How to port/support MeeGo and Symbian platforms Who this book is for This must have book is for mobile developers wanting to target the Meego and Symbian platforms (either as the sole platform or in cross-platform development), and existing mobile developers wanting to start using Qt. Table of Contents Introducing Nokias Software Platform Designing Your Application Working with the Nokia Qt SDK Beginning Qt Development Doing More with Qt Introducing Qt Quick Developing with HTML5 Testing Your Application Deploying Your Application

Mobile operating systems have expanded from running exclusively on smartphones to include tablets and music players as well, making them available to a larger audience. These operating systems are responsible for maintaining a multitude of schedules, messages, calls, music, documents, applications, photos, videos, and other personal data with the goal of increasing efficiency. Because of this, developers of mobile operating systems have built in configuration options to these operating systems to better protect the device from security vulnerabilities. However, not all of these operating systems have such settings turned on when the device is pulled out of the box. Furthermore, not all users are aware of how to best protect their information, nor the kind of issues that should be considered when owning and using these devices. This paper suggests best practices for the three major mobile platforms - Android, BlackBerry, and iOS - to mitigate and/or prevent unauthorized access, loss of information, and loss of confidentiality.

Help Without Borders: How the Google Android Case Threatens to Derail the Limited Scope of the Obligation to Assist Competitors

Visual and cognitive demands of manual and voice-based driving mode implementations on smartphones

Mobile Internet Device (MID), as a portable handheld device, becomes a strong candidate for client-side computing. Android is a mobile operating system, being accepted as the operating system and a platform for MID applications. However, MID has a limited resource and computing power, and Android has an architecture and its components which are not commonly found in other operating systems and platforms. Hence, there is a demand for effective methodologies for modeling and implementing Android-based MID applications. In this paper, we present a practical and systematical process for develop applications for Android-based MID. Our process utilizes both object-oriented and service-oriented engineering principles while considering features of MID and the architecture of Android.

With the rapid advancements of electronics, the mobile operating system can accommodate various applications, which greatly facilitates people's everyday life.With a user group of more than 2 billion, the Android platform provides a diverse ecosystem for developing and publishing all sorts of applications.Although Google's official application store, Google Play, contains over 2 million apps, such a huge market also attracts hackers to make profits through distributing malware.Mobile malware has rocketed since 2009.As reported by Broadcom Inc., an industry-leading security company, 2017 witnessed an increase of new mobile malware strains, com-pared with the year of 2016.Additionally, more profitdriven malware emerged with the growth of underground markets.Due to the fragmentation problem of the Android plat-form, Android has long been the most targeted operating system suffering from attacks.To keep pace with the cutting-edge antimalware countermeasures adopted by cybersecurity businesses, malware developers have abused high-level obfuscation, virtual environment recognition, conditional execution (logic bomb), run-time payload dropping, etc., to fool their opponents (i.e., security defending products and reverse engineering tools).These techniques are usually more obvious to trace during the evolution and diversification of a malware family.In this thesis, we take a close look into both recent Android trojans and one specific family of Android banking trojan, that infiltrates banking applications to steal credentials or trick victims to type in their usernames and passwords through displaying fake login interfaces.The results indicate that Android Trojans evolves towards possessing more malicious capabilities and more diverse permutations without losing their core design, which would cause more limitations and ineffectiveness for modern security solutions.

Statistics hold that 80% of the mobile applications are deleted after just one-time use. A significant reason for this can be attributed to the quality of the mobile application, thus impressing on the need for testing a mobile application before it is made available on the app stores. At the same time, the mobile application lifecycle time is shrinking. So while operating systems used to get release about once in a couple of years, mobile operating systems get updated within months. And talking of apps, new apps are expected to be built and released in a matter of weeks. This impresses the need for automated mechanisms to do mobile testing. The space of mobile application testing is challenging owing to the variety of phone devices, the operating systems and the conditions under which an app can be used by the user in the wild. This chapter is focused on tools and techniques that are used for automated testing of mobile applications.

This paper presents a method of device type verification via network behavior examination. This work is compared to methods and applications like nMap or xProbe, because it is capable of discerning mobile operating systems (OS) by using both active and passive network traffic. Our approach, which is based on repeatable experiments, suggests that the three major mobile OS vendors (i.e., Android, iOS, and Microsoft) down throttle the network response of some network traffic sent to them (e.g., ICMP pings) or requested by them (e.g., streaming TCP/IP) in different ways, likely to conserve battery power. Consequently, it affects the network behavior of the devices and how they handle certain events. We took the following steps as a proof-of-concept: (1) ICMP packets are actively sent to (i.e., ping) or (2) passively received by (i.e., streaming video) Android, iOS, and Microsoft mobile devices, (3) the resulting network traffic is analyzed, and (4) machine learning methods are trained to discern among the three OS types. We demonstrate that this method works well using either actively or passively generated network traffic. This method is more flexible than methods that rely solely on MAC addresses or other historical analysis methods for the identification of mobile OS type.

Comparative analysis of Android and iOS from security viewpoint

A major problem that blind people face in today’s technologically advanced world is the technology itself. Visually impaired people use an auditory version of smart devices. The screen reader converts only optical and diagrammatic information into audible data without taking into account the context. The main purpose of this study is to highlight the challenges faced by blind people in general and their experiences with technology in particular, in the Kurdistan Region of Iraq and also aims to explore if the technology is making their life easier. This study highlights the major issues faced by Kurdish blind people such as hurdles in getting an education and using smart devices, lack of facilities in public spaces, and discrimination. It is suggested that the companies must introduce the Kurdish language in their operating system and develop the smart covers for smart devices to enable them to use the smart devices independently for various tasks in life.

There are numerous initiatives to use mobile devices as so-called “trusted pocket signers” to produce electronic signatures. The actual signature is generated by means of a conventional signature card. The mobile device serves as the card reader, storage device for the document to be signed and as a display for the signature application. The operating system used on the mobile device has thus a pivotal importance to ensure the integrity and accountability of the electronic signature. Also mobile devices are used to provide mobile workers with access to the corporate backend. We examined the currently available mobile operating systems in regard to their security and conclude that not a single one is secure enough for "trusted" signing and only partially for secure backend access. We show two possible ways of how to make mobile devices more secure and possibly to enable something close to “what you see is what you sign”.Key wordsMobile Operating SystemsTrusted Devices

The chapter addressed what smartphones, mobile applications, programming languages, and mobile operating systems are. The development, implementation, and results obtained from mobile applications in the following areas are discussed in detail: educational platforms, citizen participation with the government, teaching the pronunciation of the English language, and citizen participation in public security. Android, being the main operating system for smartphones, is the most suitable for the development of mobile applications since it guarantees that it will have the greatest possible visibility and reach, not only for its popularity but for its presence in many devices other than cell phones and its “open system” feature so that everyone who wants it can develop compatible software.