Clustering has been well studied for desktop malware analysis as an effective triage method. Conventional similarity-based clustering techniques, however, cannot be immediately applied to Android malware analysis due to the excessive use of third-party libraries in Android application development and the widespread use of repackaging in malware development. We design and implement an Android ma...

This paper presents a practical design of backdoor to permanently bypass the screen lock mechanisms (e.g., 4-digit PIN) on Android devices. 1. Our goal and assumptions We aim to give insights in designing backdoor that can be used to provide persistent access to a victim’s Android device by compromising the secret for user authentication while effectively hiding its presence from the victim. We...

Google Android is a popular software stack for smart phone, where the user experience is critical to its success. The pause time of its garbage collection in DalvikVM should not be too long to stutter the game animation or webpage scrolling. Generational collection or concurrent collection can be the effective approaches to reducing GC pause time. As of version 2.2, Android implements a non-gen...

In order to protect Android users and their information, we have developed a lightweight malware detection tool for Android called Andrana. It leverages machine learning techniques and static analysis to determine, with an accuracy of 94.90%, if an application is malicious. Its analysis can be performed directly on a mobile device in less than a second and using only 12 MB of memory.

In this paper, we implement a dehazing algorithm using dark pixel detection in MatLab and C++/OpenCV. The algorithm is originally proposed in Yu et al.’s paper. The simplicity and effectiveness of the algorithm make it possible for us to run the C++/OpenCV implementation on Android phones through android NDK with reasonable speed. Keywords—dehaze; image processing; mobile application; computer ...

This article introduces the design and implementation of an Android-platform based calculator, which can recognize the formula captured by a mobile phone camera, compute the result, and display it on the screen. This application enables a faster calculation on a mobile device by avoiding inputting the formula to some device. Keywords-formula recognition; OCR; Android

The presence of mobile devices has increased in our lives offering almost the same functionality as a personal computer. Android devices have appeared lately and, since then, the number of applications available for this operating system has increased exponentially. Google already has its Android Market where applications are offered and, as happens with every popular media, is prone to misuse....

Google recently launched Android Market In-app Billing (IAB), a service that allows developers to sell digital content in their Android applications by delegating the billing responsibilities to Google. This feature has already gained immense popularity with developers—16 of the top 20 grossing apps in the Android Market rely on IAB for generating revenue. However, despite Google’s recommendati...

Since open platforms such as Android vary in device manufacturers and application developers, modifications in software happened in multiple layers. Therefore, every layer including OS, library, framework and application may have defects within. Especially, a memory leakage which increases memory usage and diminish overall system performance is the key issue in embedded systems with highly limi...

As a mobile operating system framework, Android plays a significant role in supporting mobile apps. However, current Android application model is not efficient by using current two common approaches, including Activity+XML Layout Files (AXLF) and HTML+WebKit (HWK) models. In this paper, we propose a novel middleware service solution that overcomes the drawbacks with using the pre-cache approach...