Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …

In this study, a fuzzy logic-based dynamic ensemble (FL-BDE) model was proposed to
detect malware exposed to the Android operating system. The FL-BDE model contains a …

With the steady increase in the demand for Internet of Things (IoT) devices in diverse
industries, such as manufacturing, medical care, and transportation infrastructure, the …

The presence of malicious software (malware), for example, in Android applications (apps),
has harmful or irreparable consequences to the user and/or the device. Despite the …

Android malware is continuously evolving at an alarming rate due to the growing
vulnerabilities. This demands more effective malware detection methods. This paper …

In malware analysis, understanding the reasons behind a decision is important for building
trust on the system. In the case of opcode-sequence-based classifiers, when standard …

Real-world malware analysis consists of a complex pipeline of classifiers and data analysis—
from detection to classification of capabilities to retrieval of unique training samples from …

Large language model (LLM) platform vendors have begun to make their models available
for developers to build for different use cases. However, the emergence of LLM-based …

The presence of malicious software (malware), for example in Android applications (apps),
has harmful or irreparable consequences to the user and/or the device. Despite the …

为了更好地利用深度学习框架防范安卓平台上恶意软件攻击, 提出了一种新的应用程序可视化
方法, 从而弥补了传统的采样方法存在的信息损失问题; 同时, 为得到更加准确的软件表示向量 …