Recent advancements in deep learning (DL) have posed a significant challenge for
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …

Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis aims to …

Home networks increasingly support important networked applications with limited
professional network administration support, while sophisticated attacks pose enormous …

The rise of new complex attacks scenarios in Internet of things (IoT) environments
necessitate more advanced and intelligent cyber defense techniques such as various …

The growing interest in developing smart diagnostic systems to help medical experts
process extensive data for treating incurable diseases has been notable. In particular, the …

The emergence of connected and autonomous vehicles has led to complex network
architectures for electronic control unit (ECU) communication. The controller area network …

This study introduces a sophisticated anomaly detection system based on machine learning.
The system is specifically developed to enhance the dependability and safeguard the …

The controller area network (CAN) remains the de facto standard for intra-vehicular
communication. CAN enables reliable communication between various microcontrollers and …

The advancement of communication and internet technology has brought risks to network
security. Thus, Intrusion Detection Systems (IDS) was developed to combat malicious …

In recent times, the fields of high-energy physics (HEP) experimentation and
phenomenological studies have seen the integration of machine learning (ML) and its …