Cloud concepts such as resource sharing, outsourcing, and multi-tenancy create significant
challenges to the security community. Also, trusted third party and web technologies based …

In cloud computing, accessibility to data anytime is crucial, acquiring data and maintaining
that data without any loss or incursion is an essential task. A cloud service must have the …

Cyber-attacks targeting organisations and individuals are getting worse day by day. With the
technological improvements, the principles used to launch attacks are also varied. Intrusion …

With the rapid development of cloud computing, the security of cloud system is getting more
and more attention. The intrusion detection technology based on machine learning plays a …

On-device Machine Learning (on-deviceML) is the concept of bringing Machine Learning
models to the constraint device itself and making it smarter. Tiny Machine Learning (TinyML) …

Abstract Intrusion Detection System (IDS) is meant to be a software application which
monitors the network or system activities and finds out any malicious operation occurs …

According to predictions, the number of connected devices to a network has reached an all-
time high, resulting in higher traffic and network density. That is why we want smarter and …

Big data analytics helps us to find potentially valuable knowledge, but as the size of the
dataset increases, the computing cost also grows exponentially. In our previous work …