With the rapid increase in the number of Internet of Things (IoT) devices in recent years,
massive amounts of sensitive IoT data are being generated and transmitted over the …

In wireless sensor networks (WSNs), security, efficiency, and energy consumption are still
major challenges due to its open, large-scale, and resource-constrained nature. The …

Using dynamic surveillance cameras for security has significantly increased the privacy
concerns for captured individuals. Malicious users may misuse these videos by performing …

Fog computing is a promising paradigm that can mitigate the heavy burden on cloud-central
processing of the vast amount of IoT data. Although fog computing has the advantages of …

Image encryption research has seen massive advances in recent times, but many avenues
of improvement still remain nascent. This paper takes head on various research challenges …

Securing digital medical images is increasingly becoming a major concern due to the rapid
growth of the amount of medical images transferred over a network and stored on the web …

Cloud computing is an emerging paradigm that aims to provide computing resources,
massive data storage capacity and, flexible data sharing services. The explosive growth of …

Image feature encryption is comprised of feature extraction and feature encryption. The
existing feature encryption algorithms aim at extracting edge features as significant …

Devices in the Internet of Things (IoT) have resource constraints in terms of energy,
computing power, and memory that make them vulnerable to some security attacks. Due to …

Clustering using fuzzy C-means (FCM) is a soft segmentation method that has been
extensively investigated and successfully implemented in image segmentation. FCM is …