Distributed Denial of Service (DDoS) is a common attack in recent years that can deplete the bandwidth of victim nodes by flooding packets. Based on the type and quantity of traffic used for the attack and the exploited vulnerability of the target, DDoS attacks are grouped into three categories as Volumetric attacks, Protocol attacks and Application attacks. The volumetric attack, which the pro...

DDoS attack is a coordinated attack on massive scale and it is a major threat in current computer networks. It is not easy to detect the attack , The seriousness of the DDoS problem and the increased frequency of DDoS attacks have led to the advent of numerous DDoS defense mechanisms. Detection mechanism is the first step to avoid the DDoS attack. Some of these mechanisms address a specific kin...

Distributed denial of service attack(DDoS) brings a very serious threat to send to the stability of the Internet.This paper analyzes the characteristic of the DDoS attack and recently DDoS attack detection method. Presents a DDoS attack detection model based on data mining algorithm. FCM cluster algorithm and Apriori association algorithm used to extracts network traffic model and network packe...

Web servers are usually located in a well-organized data center where these servers connect with the outside Internet directly through backbones. Meanwhile, the application-layer distributed denials of service (AL-DDoS) attacks are critical threats to the Internet, particularly to those business web servers. Currently, there are somemethods designed to handle the AL-DDoS attacks, but most of th...

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...

Software Defined Network (SDN) is a new architecture for network management and its main concept is centralizing network management in the network control level that has an overview of the network and determines the forwarding rules for switches and routers (the data level). Although this centralized control is the main advantage of SDN, it is also a single point of failure. If this main contro...

DDoS attacks have major impact on the affected networks viz. packet transmission delays, network outage, website sabotage, financial losses, legitimate-user blockage and reputation damage. Existing DDoS detection techniques are either implemented at the victim node (but the damage is already done) or at many intermediate routers which run DDoS detection algorithms, that adds additional delay an...

Distributed denial-of-service DDoS flood attacks remain great threats to the Internet. To ensure network usability and reliability, accurate detection of these attacks is critical. Based on Li’s work on DDoS flood attack detection, we propose a DDoS detection method by monitoring the Hurst variation of long-range dependant traffic. Specifically, we use an autoregressive system to estimate the H...

Distributed Denial of Service (DDoS) attacks have become significant threats on Internet according to the development of network infrastructure and recent communication technology. There are various types of DDoS attacks with different characteristics. These differences have made very difficult to detect such attacks. Furthermore, the sophisticated the evolution of DDoS attacks techniques and t...

In the last several years, DDoS attack methods become more sophisticated and effective. Hence, it is more difficult to detect the DDoS attack. In order to cope with these problems, there have been many researches on DDoS detection mechanism. However, the common shortcoming of the previous detection mechanisms is that they cannot detect new attacks. In this paper, we propose a new DDoS detection...