Distributed denial of service (DDoS) attacks have become a major threat to organizations and especially to internet and intranet. In DDoS attacks targets are overwhelmed by sending an enormous amount of traffic from a number of attack sites. The major task of any defense system is to detect these attacks accurately and quickly, before it causes an unrecoverable loss. Most of the research in th...

A Distributed Denial of Service (DDoS) attack is a major threat to cyber security. It originates from the network layer or the application layer of compromised/attacker systems which are connected to the network. The impact of this attack ranges from the simple inconvenience to use a particular service to causing major failures at the targeted server. When there is heavy traffic flow to a targe...

Today's Internet hosts are threatened by IP spoofing attacks and large scale Distributed Denial-of-Service (DDoS) attacks. We propose a new defense mechanism, StackPi, which unlike previous approaches, allows the host being attacked, or its upstream ISP, to filter out attack packets and to detect spoofed source IP addresses, on a per-packet basis. In StackPi, a packet is marked deterministicall...

The recent tide of Distributed Denial of Service (DDoS) attacks against high-profile web sites demonstrate how devastating DDoS attacks are and how defenseless the Internet is under such attacks. We design a practical DDoS defense system that can protect the availability of web services during severe DDoS attacks. The basic idea behind our system is to isolate and protect legitimate traffic fro...

Distributed Denial of Service (DDoS) attacks is the most challenging problems for network security. The attacker uses large number of compromised hosts to launch attack on victim. Various DDoS defense mechanisms aim at detecting and preventing the attack traffic. Source IP address spoofing is one of the most common ways of launching Distributed Denial of Service attacks. In these types of attac...

Distributed Denial-of-Service (DDoS) attacks prevent users from accessing services on the target network by flooding the target network with a large volume of traffic. In this paper, we propose a “Hardened Network” system, which is based on intelligent routers. This network can be incrementally deployed on the Internet and can be used to detect, stop, and recover from DDoS attacks. This Hardene...

Wireless networks are increasingly overwhelmed by Distributed Denial of Service (DDoS) attacks by generating flooding packets that exhaust critical computing and communication resources of a victim’s mobile device within a very short period of time. This must be protected. Effective detection of DDoS attacks requires an adaptive learning classifier, with less computational complexity, and an ac...

The Internet Threat Monitoring (ITM) is an efficient monitoring system used globally to measure, detect, characterize and track threats such as denial of service (DoS) and distributed Denial of Service (DDoS) attacks and worms. . To block the monitoring system in the internet the attackers are targeted the ITM system. In this paper we address the flooding attack of DDoS against ITM monitors to ...

Distributed denial of service (DDOS) attack constitutes one of the prominent cyber threats and among the hardest security problems in modern cyber world. This research work focuses on reviewing DDOS detection techniques and developing a numeric stable theoretical framework used for detecting various DDOS attacks in cloud. Main sections in the paper are devoted to review and analysis of algorith...

This study has proposed a new detection method for DDoS attack traffic based on two-sample t-test. We first investigate the statistics of normal SYN arrival rate (SAR) and confirm it follows normal distribution. The proposed method identifies the attack by testing 1) the difference between incoming SAR and normal SAR, and 2) the difference between the number of SYN and ACK packets. The experime...