In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …

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 …

Statistical and computational methods are being increasingly integrated into Decision
Support Systems to aid management and help with strategic decisions. Researchers need to …

This letter deals with the problem of detecting DoS and DDoS attacks. First of all, two
features including number of packets and number of source IP addresses are extracted from …

Today, the Internet security community largely emphasizes cyberspace monitoring for the
purpose of generating cyber intelligence. In this paper, we present a survey on darknet. The …

Recently, D/DoS attacks have been launched by zombie IoT devices in smart home
networks. They pose a great threat to network systems with Application Layer DDoS attacks …

The severity of amplification attacks has grown in recent years. Since 2013 there have been
at least two attacks which involved over 300Gbps of attack traffic. This paper offers an …

Distributed denial of service (DDoS) attack has been significantly discussed in the computer
security domain, particularly due to the damaging effects it causes to organisations' assets …

Rapid growth of network technologies necessitates the evolution and reconfiguration of
network policies. The rigid nature of legacy networks is a concern for service providers. This …

Attack forecasting is a proactive approach to defend against cyber-attacks, as it helps in
predicting future threats beforehand. In this paper, we propose a Distributed Denial of …