Blockchain is the foundation of all cryptocurrencies, while machine learning (ML) is one of
the most popular technologies with a wide range of possibilities. Blockchain may be …

The data that medical sensors collect can be overwhelming, making it challenging to glean
the most relevant insights. An algorithm for a body sensor network is needed for the purpose …

Unmanned Aerial Vehicles (UAVs), or drones, provided with camera sensors enable
improved situational awareness of several emergency responses and disaster management …

Machine learning and blockchain technology are fast-developing fields with implications for
multiple sectors. Both have attracted a lot of interest and show promise in security, IoT …

Many sensitive applications require that data remain confidential and undisclosed, even for
intrusion detection objectives. For this purpose, the detection of anomalies in encrypted data …

A smart city is a sustainable and effectual urban center which offers a maximal quality of life
to its inhabitants with the optimal management of their resources. Energy management is the …

As cyberattacks develop in volume and complexity, machine learning (ML) was extremely
implemented for managing several cybersecurity attacks and malicious performance. The …

Abstract Machine learning (ML) has revolutionized various industries, but concerns about
privacy and security have emerged as significant challenges. Membership inference attacks …

ABSTRACT As the Internet of Things (IoT) proliferates, ensuring the security and
trustworthiness of communications becomes paramount. This paper introduces a novel …

The Internet of Things (IoT) is a type of network which enables objects connected by utilizing
communication protocols. Connected objects are in all forms (ie, smart fridges, watches, and …