Attacks on cloud computing (CC) services and infrastructure have raised concerns about the
efficacy of data protection mechanisms in this environment. The framework developed in this …

The proliferation of the Internet of Things (IoT) is occurring swiftly and is all-encompassing.
The cyber attack on Dyn in 2016 brought to light the notable susceptibilities of intelligent …

The focus of this research is the application of the k-Nearest Neighbor algorithm in terms of
classifying botnet attacks in the IoT environment. The kNN algorithm has several advantages …

Modern datasets in intrusion detection are designed to be evaluated by machine learning
techniques and often contain metadata features which ought to be removed prior to training …

Nowadays, many businesses and organizations have begun to collect data on their future
and current customers to evaluate churning rate and prevent the loss of potential customers …

Wireless sensor network (WSN) cluster‐based architecture is a system designed to control
and monitor specific events or phenomena remotely, and one of the important concerns that …

The use of the Internet is enhanced drastically in the current era, which connects multiple
computers in a network and a group of devices. In addition, every sector uses the Internet to …

To solve the problem that the existing intrusion traffic detection models generally adopt
machine learning algorithm and supervised deep learning algorithm, and the classification …

Web of thing (WoT) is a gifted answer for interface and access each gadget through the web.
Consistently the gadget includes increments with huge variety fit as a fiddle, size, use and …

The cyber assault has emerged as a serious digital threat. Day after day, hackers inflict
severe financial harm on nations and people alike. As a result, threat detection has become …