Cyber-attacks are becoming more sophisticated and thereby presenting increasing
challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade …

Understanding the current threat landscape as well as timely detection of imminent attacks
are primary objectives of cyber security. Through time-series modeling of security data, such …

Copulas are a tool for constructing multivariate distributions and formalizing the dependence
structure between random variables. From copula literature review, there are a few …

Existing application performance management (APM) solutions lack robust anomaly
detection capabilities and root cause analysis techniques, that do not require manual efforts …

Les objets connectés, qui forment aujourd'hui l'Internet des objets ou IoT, sont de plus en
plus nombreux et offrent une grande variété de fonctionnalités. Ils font cependant face à de …

In today's modern industry, autocorrelated processes are common due to the speed at which
measurements can be obtained. The general strategy for monitoring autocorrelated …

As the subfields of computer science and information technology continue to expand at a
dizzying rate, efforts are made to promote and improve scientific and technical initiatives …

Anomaly detection is the process of finding outlying records from a given data set. The aim
of this paper is to study a well-known anomaly detection technique on the “Short Message …

With the continuous expansion of the Internet, computer attacks are expanding not only in
number but also in variety: ransomware is on the rise like never before, and zero-day …

Wireless Sensing Networks (WSNs) offer excellent environmental monitoring capabilities
and use many interesting applications in advanced network applications. The problem is …