With the rapid growth of Android malware, many machine learning-based malware analysis
approaches are proposed to mitigate the severe phenomenon. However, such classifiers …

IoT Android application is the most common implementation system in the mobile
ecosystem. As assaults have increased over time, malware attacks will likely happen on 5G …

Hand phone devices are the latest technological developments of the 20th century. There is
an increasing number of fishing, sniffing and other kinds of attacks in this field of technology …

The increasing diffusion of mobile devices, widely used for critical tasks such as the
transmission of sensitive and private information, corresponds to an increasing need for …

The evolution of mobile technology has increased correspondingly with the number of
attacks on mobile devices. Malware attack on mobile devices is one of the top security …

Android Smartphones are proliferating extensively in the digital world due to their
widespread applications in a myriad of fields. The increased popularity of the android …

随着移动互联网和Android 操作系统的快速发展, 运行于Android 系统的应用程序同样发展迅速,
但隐藏在其中的恶意应用对用户的财产和隐私安全带来了严重威胁. 针对Android …

Graph convolutional neural networks (GCNN) have been the model of choice for graph
representation learning, which is mainly due to the effective design of graph convolution that …

With the continuous development of mobile devices, the rapid increase in the number of
Android malware poses a huge threat to malware detection systems. By classifying malware …

Intrusion Recognition method is software which is utilized for observing network as well as
securing from attacker. Due to tremendous change in these modern technology areas of …