… We study the effectiveness of DDoS attacks on such statistical-based filtering in a general …
policy for the filter when the statistical behaviours of both the attackers and the filter are static, …

… – one of the reactive mechanisms to combat DDoS attacks – … DDoS attacks on automated
statistical filtering in wired networks and propose a framework to adopt such statistical filtering …

… In this work we presented statistical technique to detect and filter DDOS attacks. The proposed
model requires small storage and ability of fast detection. The obtained results show that …

… DDoS attacks, 28 percent reported financial losses due to DDoS attacks, and the average
losses due to DDoS attacks … in this paper belongs to group 3) attack traffic filtering. Research in …

… DDoS attacks by computing entropy and frequency-sorted distributions of selected packet
attributes. The DDoS attacks show … These rules will filter out the DDoS attack packets. Once the …

… Hence, there is a need for Cloud-specific DDoS detection framework. In this paper, a statistical
and distributed network packet filtering model is proposed against DDoS attacks in Cloud. …

… This paper extends the PacketScore scheme and implements a new two-level filtering …
detection of DDoS attacks. [4] proposes a statistical model to detect DDoS attacks and is based on …

… Firstly, we propose Kalman filter and RLS filter to detect and evaluate DDoS attacks … filter
based statistical methods. Furthermore, we focus on how to detect and evaluate DDoS attacks …

… packets via statistical analysis. Therefore, it can deal with new … cooperative filtering model
against DDoS attacks. This type of filtering provides an ability of preventing the attack packets …

… In this section, we will use real world statistics to test the filtering method CBF. The data in
the MAWI Traffic Archive [19] is adopted and the test environment is a 2.26 GHz Intel Core 2 …