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...

Software Defined Networking (SDN) is a new network architecture that separates the control plane and the data plane and provides logically central control over the whole network. Because SDN controller combines the upper application layer and the underlying infrastructure layer, it may face the problem of single-point failure. If it is made unreachable by a Distributed Denial of Service (DDoS) ...

Denial of Service (DoS) attacks constitute one of the major threats and among the hardest security problems in today s Internet. Of particular concern are Distributed Denial of Service (DDoS) attacks, whose impact can be proportionally severe. With little or no advance warning, a DDoS attack can easily exhaust the computing and communication resources of its victim within a short period of time...

We present techniques for attributing amplification DDoS attacks to the booter services that launched the attack. Our k-Nearest Neighbor (k -NN) classification algorithm is based on features that are characteristic for a DDoS service, such as the set of reflectors used by that service. This allows us to attribute DDoS attacks based on observations from honeypot amplifiers, augmented with traini...

A Distributed Denial of Service (DDOS) attack is a type of Internet attack that disrupts the normal function of the targeted computer network (server). This kind of attacks attempts to make target host resource unavailable to its legal users. Several efforts had made in detection and computation of the DDOS attacks over network, where IDS (Intrusion detection systems) are unable to isolate the ...

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...

Domain Name System (DNS) Service is the basic support of Internet, which security plays a vital role in the entire Internet. Because DNS requests and responses are mostly UDP-based, and the existing large numbers of open recursive DNS servers, it is vulnerable to distributed denial of services (DDoS) attacks. Through the analysis of several aspects of these attacks, a novel approach to detect D...

As the complexity of Internet is scaled up, it is likely for the Internet resources to be exposed to Distributed Denial of Service (DDoS) flooding attacks on TCP-based Web servers. There has been a lot of related work which focuses on analyzing the pattern of the DDoS attacks to protect users from them. However, none of these studies takes all the flags within TCP header into account, nor do th...

Traffic matrix-based anomaly detection and DDoS attacks detection in networks are research focus in the network security and traffic measurement community. In this paper, firstly, a new type of unidirectional flow called IF flow is proposed. Merits and features of IF flows are analyzed in detail and then two efficient methods are introduced in our DDoS attacks detection and evaluation scheme. T...