Since the beginning of the Internet, cyberattacks have threatened users and organisations.
They have become more complex concurrently with computer networks. Nowadays …

Intrusion Detection Systems (IDSs) automatically analyze event logs and network traffic in
order to detect malicious activity and policy violations. Because IDSs have a large number of …

A novel method based on the Hidden Markov Model is proposed to predict multistep attacks
using IDS alerts. We consider the hidden states as similar phases of a particular type of …

In recent years, we have seen notable changes in the way attackers infiltrate computer
systems compromising their functionality. Research in intrusion detection systems aims to …

Advanced persistent threats (APTs) have emerged as multi-stage attacks that have targeted
nation-states and their associated entities, including private and corporate sectors. Cyber …

Cyber attacks and malicious activities are rapidly becoming a major threat to proper secure
organization. Many security tools may be installed in distributed systems and monitor all …

Abstract Intrusion Detection Systems (IDSs) are security tools widely used in computer
networks. While they seem to be promising technologies, they pose some serious …

This contribution presents a graph based approach for modelling the effects of both attacks
against computer networks and response measures as reactions against the attacks. Certain …

Cloud computing significantly increased the security threats because intruders can exploit
the large amount of cloud resources for their attacks. However, most of the current security …

Multistep attack prediction and security situation awareness are two big challenges for
network administrators because future is generally unknown. In recent years, many …