This study conducts a thorough examination of malware detection using machine learning
techniques, focusing on the evaluation of various classification models using the Mal-API …

IoT devices implement firmware update mechanisms to fix security issues and deploy new
features. These mechanisms are often triggered and mediated by mobile companion apps …

In today's digital era, the security of networked systems is of utmost importance amidst the
increasing prevalence of cyber threats and sophisticated intrusion techniques. This paper …

The growth of pending legal cases in populous countries, such as India, has become a
major issue. Developing effective techniques to process and understand legal documents is …

In the fast-moving field of Industry 4.0, active equipment maintenance is becoming
increasingly critical. This article introduces an innovative solution called SmartFix that …

The rampant occurrence of cybersecurity breaches imposes substantial limitations on the
progress of network infrastructures, leading to compromised data, financial losses, potential …

In the era of the COVID-19 pandemic, the surge in information sharing on social media,
particularly Twitter, necessitates a nuanced understanding of sentiments. Conventional …

This systematic literature review comprehensively examines the application of Large
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …

Over the past decades, text classification underwent remarkable evolution across diverse
domains. Despite these advancements, most existing model-centric methods in text …

The number of" smart''devices, that is, devices making up the Internet of Things (IoT), is
steadily growing. They suffer from vulnerabilities just as other software and hardware …