Distributed denial of service (DDoS) attacks continues to grow as a threat to organizations worldwide. From the first known attack in 1999 to the highly publicized Operation Ababil, the DDoS attacks have a history of flooding the victim network with an enormous number of packets, hence exhausting the resources and preventing the legitimate users to access them. After having standard DDoS defens...

In recent years, distributed denial of service (DDoS) attacks have brought increasing threats to the Internet since attack traffic caused by DDoS attacks can consume lots of bandwidth or computing resources on the Internet and the availability of DDoS attack tools has become more and more easy. However, due to the similarity between DDoS attack traffic and transient bursts of normal traffic, it...

IP Flow is classified into the Micro-flow and the Macro-flow, which provides a way of selecting proper features used to detect DDoS. Five abstracted features’ capabilities of recognizing DDoS are analyzed through experiments. With these features as inputs, a neural network classifier is used to detect DDoS. Experiments’ results show that these IP Flow based features can be very helpful to DDoS ...

When service system is under DDoS attacks, it is important to detect anomaly signature at starting time of attack for timely applying prevention solutions. However, early DDoS detection is difficult task because the velocity of DDoS attacks is very high. This paper proposes a DDoS attack detection method by modeling service system as M/G/R PS queue and calculating monitoring parameters based on...

Detection and Prediction mechanism against distributed denial of service (DDoS) attacks is a critical component of any security system in which, these attacks can affect the availability of a node or an entire network. In this work, we focus the detection and prediction mechanism against DDoS attacks in IEEE 802.15.4 using Fuzzy logic system. The main contribution of Fuzzy based detection and p...

Distributed Denial of service (DDOS) attack is one of the biggest security threat to the Internet. This research paper attempts to study the DDOS attacks and its main types. The study will provide good knowledge to try for the defense measures for these attacks. The network is always vulnerable to this type of attack even after providing the security measures. This study will also focus on the ...

Distributed Denial of Service (DDoS) attacks have caused continuous critical threats to the Internet services. DDoS attacks are generally conducted at the network layer. Many DDoS attack detection methods are focused on the IP and TCP layers. However, they are not suitable for detecting the application layer DDoS attacks. In this paper, we propose a scheme based on web user browsing behaviors t...

We present a probabilistic packet filtering (PPF) mechanism to defend the Web server against Distributed Denial-of-Service (DDoS) attacks. To distinguish abnormal traffics from normal ones, we use Traffic Rate Analysis (TRA). If the TRA mechanism detects DDoS attacks, the proposed model probabilistically filters the packets related to the attacks. The simulation results demonstrate that it is u...

DDoS attacks are the process of making the target system non-responsive to the legitimate requests. They were focusing on network and transport layers initially. Now the application layer DDoS attacks are prominent and are most difficult to resolve online. This paper presents a comprehensive study on Botnet-based DDoS attacks on application layer, and the extended incidents of such attacks that...

In this chapter we discuss Distributed Denial of Service (DDoS) attacks in networks such as the Internet, which have become significantly prevalent over the recent years. We explain how DDoS attacks are performed and consider the ideal solution characteristics for defending against the DDoS attacks in the Internet. Then we present different research directions and thoroughly analyse some of the...