Tim Tanggap Insiden Siber Spanyol pada tahun 2021 menyatakan bahwa penggunaan mata uang kripto mengalami pertumbuhan. Hal ini selaras dengan indikasi pertumbuhan tindak kejahatan cryptojacking yang memanfaatkan mata uang kripto. Penambangan mata uang kripto memerlukan sumber daya yang besar. Terindikasi adanya oknum yang melakukan aktivitas penambangan menggunakan sumber daya ilegal, dan aktivitas ini dapat dikatakan sebagai tindak kejahatan cryptojacking. Berdasarkan sistem indexing Scopus, pada rentang tahun 2018 - 2021 terdapat 94 artikel penelitian terkait tindak kejahatan cryptojacking. Negara yang cukup aktif melakukan penelitian tindak kejahatan cryptojacking adalah Tiongkok, India, dan Amerika Serikat. Untuk memperdalam kajian tindak kejahatan cryptojacking, diperlukan pengetahuan tentang keamanan sistem dan jaringan komputer, malicous software (malware), dan mata uang elektronik seperti bitcoin, ethereum, litecoin, dan sebagainya. Dengan menggunakan analisis bibliometrika, dapat dilakukan kajian lebih lanjut menggunakan kata kunci atau tren dari sebuah topik penelitian. Selain itu, hal ini mempermudah peneliti dalam melakukan pemetaan topik-topik lanjutan.
In the last five years, there have been many Android applications implementing video filter or video effect as an excellent feature. OpenCV is an open source computer vision library that can be simply and easily used for video filtering in Android application. However, using OpenCV library for video filtering commonly yields a bigger size of Android application. The concept of "Develop for Billion People" has enforced the developers to optimize the size of their applications to preserve resources and size of memory-as not all Android devices come with sufficiently large memory. On the other hand, OpenGL ES does not burden the filtering process because of its smaller size when it is implemented during the application development. In this research, we present a new native video processing technique using OpenGL ES. We implement the proposed method on a native video file without decreasing its quality before video filtering process. The experiments were conducted with five different mobile devices. We compared several metrics including: quality of the resulted video, file size of the apk, power consumption, and memory usage. Based on the experimental results, OpenGL ES produces smaller file size of apk (2 MB) compared with the produced file size of apk by OpenCV (20MB). The resulted file after video filtering possesses same properties as observed before video filtering. Additionally, OpenGL ES uses more efficient power with 0.1965 mAh, while OpenCV consumes 0.283 mAh. Finally, video filtering with OpenGL ES uses 29.3% lesser memory than video filtering with OpenCV. The proposed method is proven to be more appropriate with "Develop for Billion People" as it preserves more computational resources compared with the existing video filtering technique in Android.
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