Deep learning has been widely applied in various fields such as computer vision, natural
language processing, and data mining. Although deep learning has achieved significant …

Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital
transformation in the year 2022. As the different GenAI models like ChatGPT and Google …

With the rapid advancements and notable achievements across various application
domains, Machine Learning (ML) has become a vital element within the Internet of Things …

Deep learning (DL) has proven to be effective in detecting sophisticated malware that is
constantly evolving. Even though deep learning has alleviated the feature engineering …

With the increase in machine learning (ML) applications in different domains, incentives for
deceiving these models have reached more than ever. As data is the core backbone of ML …

This paper mainly summarizes three aspects of information security: Internet of Things (IoT)
authentication technology, Internet of Vehicles (IoV) trust management, and IoV privacy …

In an era where cyberspace is both a battleground and a backbone of modern society, the
urgency of safeguarding digital assets against ever-evolving threats is paramount. This …

Abstract Application Program Interface (API) calls are widely used in dynamic Windows
malware analysis to characterize the run-time behavior of malware. Researchers have …

Windows malware is predominantly available in cyberspace and is a prime target for
deliberate adversarial evasion attacks. Although researchers have investigated the …

In recent years, a significant amount of research has focused on analyzing the effectiveness
of machine learning (ML) models for malware detection. These approaches have ranged …