This paper provides a survey of prediction, and forecasting methods used in cyber security.
Four main tasks are discussed first, attack projection and intention recognition, in which …

With the increasing amount of network throughput and security threat, the study of intrusion
detection systems (IDSs) has received a lot of attention throughout the computer science …

In the past ten years, the source of DDoS has migrated to botnets composed of IoT devices.
The scale of DDoS attacks increases dramatically with the number of IoT devices. New …

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 …

Cybersecurity attacks are exponentially increasing, making existing detection mechanisms
insufficient and enhancing the necessity to design more relevant prediction models and …

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 …

This paper presents a taxonomy of intrusion response systems (IRS), classifying a number of
research papers published during the past decade that provide us with many valuable …

Cloud service availability has been one of the major concerns of cloud service providers
(CSP), while hosting different cloud based information technology services by managing …

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 …

Since cyberattacks have become sophisticated in the form of advanced persistent threats
(APTs), predicting and defending the APT attacks have drawn lots of attention. Although …