Android apps are made of components which can leak information between one another using the ICC mechanism. With the growing momentum of Android, a number of research contributions have led to tools for the intra-app analysis of Android apps. Unfortunately, these state-of-the-art approaches, and the associated tools, have long left out the security flaws that arise across the boundaries of sing...

Privacy inference attacks based on sensor data is an emerging and severe threat on smart devices, in which malicious applications leverage data from innocuous sensors to infer sensitive information of user, e.g., utilizing accelerometers to infer user’s keystroke. In this paper, we present Sensor Guardian, a privacy protection system that mitigates this threat on Android by hooking and controll...

Strombidium sulcatum, the type species of the genus, is examined using silver-stained material made by Fauré-Fremiet in the 1950s and 1960s. We found that the stained specimens possessed a prominent protuberance, as previously described; the number of anterior polykinetids (APk) differed between the accounts (15 this study, 12 previous reports); although previously illustrated, no contractile v...

Automatic generation of test cases for functional testing is a challenging task. It involves complex sub tasks such as capturing user scenarios, parsing user scenarios to generate test cases, ensuring test coverage criteria, test script generation from test cases, test execution and report generation. In this paper, a method is proposed to generate test cases after parsing Sequence diagram and ...

The word wide sharply increase in the number of smartphones user, the Android platform pose to becoming a market fugleman that makes the need for malware analysis on this platform an urgent issue. The current Artificial Immune Based malware detection systems they focus on traditional computers that uses information from OS or network, but the smartphone software behavior has its own structure a...

According to a recent F-secure report, 97% of mobile malware is designed for the Android platform which has a growing number of consumers. In order to protect consumers from downloading malicious applications, there should be an effective system of malware classification, that can detect previously unseen viruses. In this paper, we present a scalable and highly accurate method for malware class...

Penelitian ini menghasilkan produk berupa media pembelajaran berbasis game dalam bentuk File Apk untuk pengguna Android yang memenuhi kriteria valid dan praktis. Peneltian pengembangan menggunakan model oleh Borg and Gall. Teknik digunakan pengumpulan data adalah lembar validasi angket praktikalitas. Validasi dilakukan ahli materi media. Hasil analisis rata-rata yaitu sebesar 87,2% pada kategor...

Driven by the popularity of the Android system, Android app markets enjoy a booming prosperity in recent years. One critical problem for modern Android app markets is how to prevent apps that are going to receive low ratings from reaching end users. For this purpose, traditional approaches have to publish an app first and then collect enough user ratings and reviews so as to determine whether t...