The advent of connected devices and omnipresence of Internet have paved way for
intruders to attack networks, which leads to cyber-attack, financial loss, information theft in …

Abstract Machine Learning (ML) techniques are becoming an invaluable support for network
intrusion detection, especially in revealing anomalous flows, which often hide cyber-threats …

With an ever-increasing amount of options, the task of selecting machine learning tools for
big data can be difficult. The available tools have advantages and drawbacks, and many …

Cybersecurity incident response is a very crucial part of the cybersecurity management
system. Adversaries emerge and evolve with new cybersecurity tactics, techniques, and …

Musical genres are categorical labels created by humans for characterizing pieces of music.
This categorization of musical genre is done by the common characteristics shared by its …

Managing design-time uncertainty, ie, uncertainty that developers have about making
design decisions, requires creation of “uncertainty-aware” software engineering …

The largest number of cybersecurity attacks is on web applications, in which Cross-Site
Scripting (XSS) is the most popular way. The code audit is the main method to avoid the …

The recent advancement in WSNs has drawn its attentive toward number of researchers as it
is supportive to the wide range of applications. During the routing mechanism in WSN, the …

Big data is a big business, and effective modeling of this data is key. This paper provides a
comprehensive multidimensional analysis of various open source tools for machine learning …

Internet of things (IoT) improves the development and operation of smart electrical grids
(SEGs). Overcoming the cloud challenges, 2-tier architecture is replaced by 3-tier one for …