Distributed denial of service (DDoS) attacks are widely regarded as a major threat to the Internet. A flooding-based DDoS attack is a very common way to attack a victim machine by sending a large amount of malicious traffic. Existing networklevel congestion control mechanisms are inadequate in preventing service quality from deteriorating because of these attacks. Although a number of technique...

Distributed denial of service (DDoS) attacks, which are a major threat on the Internet, have recently become more sophisticated as a result of their ability to exploit application-layer vulnerabilities. Most defense methods are designed for detecting DDoS attacks on IP and TCP layers and consequently have difficulty in detecting this new type of DDoS attack. With the profiling of web browsing b...

Distributed Denial-of-Service (DDoS) attacks are a variant of Denial-of-Service (DoS) attacks where an attacker or a group of attackers employ multiple machines to carry out a DoS attack simultaneously, therefore increasing its effectiveness and strength. DDoS attacks in the networks needs to be prevented or handled if it occurs, as early as possible and before reaching the victim. Dealing with...

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...

With the proliferation of Internet applications and network-centric services, network and system security issues are more important than before. In the past few years, cyber attacks, including distributed denial-of-service (DDoS) attacks, have a significant increase on the Internet, resulting in degraded confidence and trusts in the use of Internet. However, the present DDoS attack detection te...

Although the prevention of Distributed Denial of Service (DDoS) attacks is not possible, detection of such attacks plays main role in preventing their progress. In the flooding attacks, especially new sophisticated DDoS, the attacker floods the network traffic toward the target computer by sending pseudo-normal packets. Therefore, multi-purpose IDSs do not offer a good performance (and accuracy...

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...

We present a new class of low-volume application layer DDoS attack–Very Short Intermittent DDoS (VSI-DDoS). Such attack sends intermittent bursts (tens of milliseconds duration) of legitimate HTTP requests to the target website with the goal of degrading the quality of service (QoS) of the system and damaging the long-term business of the service provider. VSI-DDoS attacks can be especially ste...

Distributed Denial of Service Attacks imposes a major threat to the availability of Internet services. Most of the applications like banking, trade, and e-commerce are dependent on availability of Internet. Defending Internet from these attacks has become the need of the hour. A typical DDoS defense comprises of three modules namely traffic monitoring, traffic analysis and traffic filtering. Ba...