This article describes how sequential data modeling is a relevant task in Cybersecurity.
Sequences are attributed temporal characteristics either explicitly or implicitly. Recurrent …

Intrusions constitute one of the main issues in computer network security. Through malicious
actions, hackers can have unauthorised access that compromises the integrity, the …

The prevalence of interconnected appliances and ubiquitous computing face serious threats
from the hostile activities of network attackers. Conventional Intrusion Detection Systems …

An intrusion detection system has become a vital mechanism to detect a wide variety of
malicious activities in the cyber domain. However, this system still faces an important …

Prior to deploying any intrusion detection system, it is essential to obtain a realistic
evaluation of its performance. However, the major problems currently faced by the research …

Intruders have become more and more sophisticated thus a deterrence mechanism such as
an intrusion detection systems (IDS) is pivotal in information security management. An IDS …

Network intrusion detection problem is an ongoing challenging research area because of a
huge number of traffic volumes, extremely imbalanced data sets, multi-class of attacks …

Cloud computing has been widely adopted by application service providers (ASPs) and
enterprises to reduce both capital expenditures (CAPEX) and operational expenditures …

Deep Learning has been proven more effective than conventional machine-learning
algorithms in solving classification problem with high dimensionality and complex features …

The rapid growth in the volume and importance of web communication throughout the
Internet has heightened the need for better security protection. Security experts, when …