Memory Of Mobile Devices Research Articles

Rapid characterization of efficient system level ESD protection strategy using coupling transfer function

This study details a new technique for the fast and efficient design and analysis of system level electrostatic discharge (ESD) protection strategy using developed coupling transfer impedance function. The transfer coupling characteristics from the zapping point to the victim location on a DUT can be computed using coupling transfer gain function. Subsequently, it is integrated with an ESD current source in a SPICE type circuit simulator for the fast and efficient analysis of induced ESD coupling noise and the design of the appropriate ESD protection scheme with the suitable choice of ESD protection device (diodes, SCR, GGNMOS, GCNMOS etc.). The study discusses the different protection schemes i.e. primary, secondary and double ESD protections, and the effect of the selected diode types and ESD stressing levels on the employed protection strategy. The proof-of-concept is validated through the rapid design of suitable system level ESD protection strategy for a microstrip-line PCB, high-speed mobile device memory module, and a portable notebook motherboard.

PECULIARITIES OF INFORMATION SECURITY IN MOBILE DEVICES RUNNING THE ANDROID OPERATING SYSTEM

Objectives The article presents a formal model of information security in mobile devices running the Android operating system, an example of detection and investigation of malicious software, as well as static and dynamic analysis of malicious software.Method To protect sensitive information on mobile devices, you can use software and organizational measures at the same time.Result The proposed formal model of information security and analysis of suspected malicious software will ensure the security of information in mobile devices, as well as reduce the risk of threats to an acceptable level at a minimum cost of the protection system. The presented algorithm of the application designed for illegal transfer of funds, as well as an example of the analysis of this application will allow the specialist to improve the quality of their professional tasks in the analysis of incidents in the field of information security.Conclusion Due to the fact that today there is no scientifically based method of detection and analysis of malicious software in the memory of mobile devices, the information provided in this article will help to improve the efficiency of information protection in mobile devices running the Android operating system.

Varying Instructional Approaches to Physical Extraction of Mobile Device Memory

Varying Instructional Approaches to Physical Extraction of Mobile Device Memory

C-RAM: Breaking Mobile Device Memory Barriers Using the Cloud

Mobile applications are constrained by the available memory of mobile devices. We present C-RAM, a system that uses cloud-based memory to extend the memory of mobile devices. It splits application state and its associated computation between a mobile device and a cloud node to allow applications to consume more memory, while minimizing the performance impact. C-RAM thus enables developers to realize new applications or port legacy desktop applications with a large memory footprint to mobile platforms without explicitly designing them to account for memory limitations. To handle network failures with partitioned application state, C-RAM uses a new snapshot-based fault tolerance mechanism in which changes to remote memory objects are periodically backed up to the device. After failure, or when network usage exceeds a given limit, the device rolls back execution to continue from the last snapshot. C-RAM supports local execution with an application state that exceeds the available device memory through a user-level virtual memory: objects are loaded on-demand from snapshots in flash memory. Our C-RAM prototype supports Objective-C applications on the unmodified iOS platform. With C-RAM, applications can consume 10 $\times$ more memory than the device capacity, with a negligible impact on application performance. In some cases, C-RAM even achieves a significant speed-up in execution time (up to 9.7 $\times$ ).

Evaluating the privacy of Android mobile applications under forensic analysis

In this paper, we investigate and evaluate through experimental analysis the possibility of recovering authentication credentials of mobile applications from the volatile memory of Android mobile devices. Throughout the carried experiments and analysis, we have, exclusively, used open-source and free forensic tools. Overall, the contribution of this paper is threefold. First, it thoroughly, examines thirteen (13) mobile applications, which represent four common application categories that elaborate sensitive users' data, whether it is possible to recover authentication credentials from the physical memory of mobile devices, following thirty (30) different scenarios. Second, it explores in the considered applications, if we can discover patterns and expressions that indicate the exact position of authentication credentials in a memory dump. Third, it reveals a set of critical observations regarding the privacy of Android mobile applications and devices.

Optimizing AST Node for Java Script Compiler A lightweight Interpreter for Embedded Device

Limited memory in mobile devices presents the bottleneck to execution speed. Abstract Syntax Tree (AST) could be a better option for mobile codes as it is compiled only once. Hence, to improve the execution speed of a mobile device, AST node should be designed in such a way that it would consume less memory and improve the execution speed. In this paper, we implement AST node optimization technique for a set of frequently used operators and statements on a JavaScript compiler, such as Identifiers, Function-calls, Dot-operator and If-then-else. The desired optimization is justified by experimental results.

Infrastructureless Spatial Storage Algorithms

This article defines and analyzes a collection of algorithms for persistent storage of data at specific geographical zones exploiting the memory of mobile devices located in these areas. Contrarily to other approaches for data dissemination, our approach uses a viral programming model. Data performs an active role in the storage process. It acts as a virus or a mobile agent, finding its own storage and relocating when necessary. We consider geographical areas of any shape and size. Simulation results show that our algorithms are scalable and converge quickly, even though none of them outperform the others for all performance metrics considered.

Memory technology in mobile devices—status and trends

Mobile devices like cellular phones are constantly adding more memory capacity and stretching the limits of scaling and miniaturisation. These are demanded by new features and applications that device manufacturers are pushing into their terminals. Solid-state storage memories like NAND Flash which are used widely in portable and removable data storage applications are starting to drive semiconductor technology development. At the same time mobile device memory subsystem requirements for higher performance and capacity and low power in leading edge products are breaking new barriers. This paper will review the technologies and architectures used in cellular mobile terminals today and present future challenges that must be met to continue digital convergence in mobile consumer devices. Features and requirements specific to mobile device memories will be presented in comparison to commodity components used in standard consumer electronics or personal computers.