In the era of escalating cyber threats and increased Internet dependence, enhancing
intrusion detection systems is essential. Concerns are emerging regarding the viability and …

In wireless sensor network (WSN), the high volume of observe and transmitted data among
sensor nodes make it requires to maintain the security. Even though numerous secure data …

The ability to design smarter, more predictive healthcare solutions for use in the community
(at work and at home) and in healthcare facilities has been greatly enhanced by recent …

The study of lightweight block ciphers has been a “hot topic”. As one of the main structures of
block ciphers, the Feistel structure has attracted much attention. However, the traditional …

The knowledge that is acquired through a learning process has ethical concerns when
shared, as there can be restrictions on the parties who can use the piece of knowledge …

Abstract Internet of Things (IoT) is a group of physical objects like sensors and actuators etc.
connected through the network for dynamic exchange of information for augmenting the …

This study explores the integration of deep learning and Internet of Things (IoT) technologies
to enhance healthcare delivery, with a primary focus on improving electrocardiogram (ECG) …

This research aimed to assess the prognostic relevance of the hypoperfusion intensity ratio
(HIR) concerning 90-day outcomes in patients with acute ischemic stroke (AIS) managed …

ABSTRACT Internet of Things (IoT) is vulnerable to data-tampering (DT) attacks. Due to
resource limitations, many anomaly detection systems (ADSs) for IoT have high false …

Database security is of utmost importance in today's digital age where sensitive data is
vulnerable to unauthorized access and cyber-attacks. Various security models have been …