Digital steganography has a long history, starting to be developed in the 90s until now. The
main aspects of early steganography are security, imperceptibility, and payload. Security is …

Data encryption aims to protect the confidentiality of data at storage, during transmission, or
while in processing. However, it is not always the optimum choice as attackers know the …

This paper presents a literature review of image steganography techniques in the spatial
domain for last 5 years. The research community has already done lots of noteworthy …

Convolutional neural networks (CNNs) have yielded state-of-the-art performance in image
classification and other computer vision tasks. Their application in fire detection systems will …

Fire disasters are man-made disasters, which cause ecological, social, and economic
damage. To minimize these losses, early detection of fire and an autonomous response are …

In traditional steganographic schemes, RGB three channels payloads are assigned equally
in a true color image. In fact, the security of color image steganography relates not only to …

Over the last decade, there has been an increasing interest in big data research, especially
for health services applications. The adoption of the cloud computing and the Internet of …

This paper proposes a secure surveillance framework for Internet of things (IoT) systems by
intelligent integration of video summarization and image encryption. First, an efficient video …

Due to the advances in computer-based communication and health services over the past
decade, the need for image security becomes urgent to address the requirements of both …

Privacy preservation has become a prerequisite for modern applications in the cloud, social
media, Internet of things (IoT), and E-healthcare systems. In general, health and medical …