Abstract Cross-Company Churn Prediction (CCCP) is a domain of research where one
company (target) is lacking enough data and can use data from another company (source) …

Clustering is a complex unsupervised method used to group most similar observations of a
given dataset within the same cluster. To guarantee high efficiency, the clustering process …

In this paper, various Distributed Denial of service attacks like Internet Control Message
Protocol Attack, Transmission Control Protocol Sync Attack, and User Datagram Protocol …

Churn prediction is a Big Data domain, one of the most demanding use cases of recent time.
It is also one of the most critical indicators of a healthy and growing business, irrespective of …

Due to the exponential growth in technologies and a greater number of competitors in the
telecom sector, the companies are facing a rigorous problem of customer churns. The …

Cloud Computing is an international collection of hardware and software from thousands of
computer network. It permits digital information to be shared and distributed at very less cost …

Every Edge-IIoT device and network is susceptible to attacks because they are connected to
the internet. The number of IoT devices grows daily due to the rapid advancement in …

This article proposes a novel methodology to detect malicious uniform resource locators
(URLs) using simulated expert (SE) and knowledge-base system (KBS). The proposed study …

The most common methods used in cyber attack detection are signature scan and anomaly
detection. In the case of applying these approaches, a countermeasure against an …

The article presents the results of the study, which is a fragment of the work carried out under
the project entitled “Hybrid system for intelligent diagnostics of prognostic models”, co …