This work proposes a distributed denial-of-service (DDoS) inference and forecasting model that aims at providing insights to organizations, security operators, and emergency response teams during and after a DDoS attack. Specifically, our work strives to predict, within minutes, the attacks’ features, namely intensity/rate (packets/second) and size (estimated number of used compromised machines...

In this paper, we present Nyx, the first system to both effectively mitigate modern Distributed Denial of Service (DDoS) attacks regardless of the amount of traffic under adversarial control and function without outside cooperation or an Internet redesign. Nyx approaches the problem of DDoS mitigation as a routing problem rather than a filtering problem. This conceptual shift allows Nyx to avoi...

2 Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks have increased in number. Take note: saying THAT would be a gross understatement. Back in the comfortable past, only people with specialized knowledge and a good amount of resources were able to launch such high-end attacks. Today, anyone with access to the Internet and minimal technical know-how can very well execute an...

Distributed denial of service (DDoS) attacks are responsible for creating unavailability of online resources. Botnets based on internet of things (IOT) devices are now being used to conduct DDoS attacks. The estimation of direct and indirect economic damages caused by these attacks is a complex problem. In this article we analyze the impact of 45 different DDoS attack announcements on victim fi...

By penetrating into a large number of machines and stealthily installing malicious pieces of code, a distributed denial of service (DDoS) attack constructs a hierarchical network and uses it to launch coordinated assaults. DDoS attacks often exhaust the network bandwidth, processing capacity and information resources of victims, thus, leading to unavailability of computing systems services. Var...

Distributed Denial of Services (DDoS) is a ruthless attack that targets a node or a medium with its false packets to decline the network performance and its resources. Neural networks is a powerful tool to defend a network from this attack as in our proposed solution a mitigation process is invoked when an attack is detected by the detection system using the known patters which separate the leg...

Cloud computing has been considered as one of the crucial and emerging networking technology, which has been changed the architecture of computing in last few years. Despite the security concerns of protecting data or providing continuous service over cloud, many organisations are considering different types cloud services as potential solution for their business. We are researching on cloud co...

DoS(Denial of Service) / DDoS(Distributed Denial of Service) attacks threaten Internet security nowadays. However, the current Internet protocol and backbone network do not support traceback to know attacker’s real location. Many methods to defend DoS/DDoS attack have been proposed. However these kinds of methods cause network overhead because they use many packets to reconstruct an attack path...

<span id="docs-internal-guid-58e12f40-7fff-ea30-01f6-fbbed132b03c"><span>Nowadays, IoT devices are widely used both in daily life and corporate industrial environments. The use of these has increased dramatically by 2030 it is estimated that their usage will rise to 125 billion causing enormous flow information. It likely also increase distributed denial-of-service (DDoS) attack sur...