Recent advancement in the digital technology and internet has facilitated usage of
multimedia objects for data communication. However, interchanging information through the …

This paper introduces a deep learning-based Steganography method for hiding secret
information within the cover image. For this, we use a convolutional neural network (CNN) …

We propose an intrusion detection model based on an improved vision transformer (ViT).
More specifically, the model uses an attention mechanism to process data, which overcomes …

Rapid advances in digital technology have facilitated us to transfer a huge amount of
electronic files over the internet. But in the presence of malicious attackers, the security, as …

Contrast enhancement is an important pre-processing task for several image and video
processing applications. The objective of a contrast enhancement method is to improve the …

Attack detection is the major issue in healthcare‐based wireless sensor networks (H‐
WSNs). Due to their low processing speed, very low storage space, poor attack detection …

Image steganography is a mechanism that imperceptibly conceals information in a cover
image while also enabling the concealed details to be reliably retrieved from that image. The …

Data security and data hiding have been studied throughout history. Studies show that
steganography and encryption methods are used together to hide data and avoid detection …

Generally, spatial domain and transform domain steganography techniques are used to
achieve the covert communication. The main drawback of embedding in frequency domain …

Multi-level thresholding for image segmentation is one of the key techniques in image
processing. Although numerous methods have been introduced, it remains challenging to …