The distributed and open structure of cloud computing and services becomes an attractive
target for potential cyber-attacks by intruders. The traditional Intrusion Detection and …

A network based Intrusion Detection System (IDS) gathers and analyzes network packets
and report possible low level security violations to a system administrator. In a large network …

As complete prevention of computer attacks is not possible, intrusion detection systems
(IDSs) play a very important role in minimizing the damage caused by different computer …

Abstract Context Big Data Cybersecurity Analytics (BDCA) systems leverage big data
technologies for analyzing security events data to protect organizational networks …

Context: Research at the intersection of cybersecurity, Machine Learning (ML), and Software
Engineering (SE) has recently taken significant steps in proposing countermeasures for …

Clustering is one of the most well known types of unsupervised learning. Evaluating the
quality of results and determining the number of clusters in data is an important issue. Most …

Network security plays an essential role in secure communication and avoids financial loss
and crippled services due to network intrusions. Intruders generally exploit the flaws of …

The presence of alarm floods is identified as the main reason for low efficiency of alarm
systems and the leading cause of many industrial accidents. In practice, a commonly used …

Smart Grid (SG) systems are critical, intelligent infrastructure utility services connected
through open networks that are potentially susceptible to cyber-attacks with very acute …

Modern botnet trends have lead to the use of IP and domain fast-fluxing to avoid detection
and increase resilience. These techniques bypass traditional detection systems such as …