SOS: An Architecture for Mitigating DDoS Attacks

Mitigating DDoS attacks with cluster-based filtering

A Novel Scheme for Mitigating Botnet-Based DDoS Attacks

Botnet-based distributed denial of service (DDoS) attacks represent an emerging and sophisticated threat for today’s Internet. Attackers are now able to mimic the behavior of legitimate users to a great extent, making the issue of countering these attacks very challenging. This paper proposes a novel scheme to mitigate botnet-based DDoS attacks. The proposed scheme, called JUST-Google, utilizes...

Don’t Talk to Zombies: Mitigating DDoS Attacks via Attestation

Distributed Denial-of-Service (DDoS) attacks typically originate from exploited endhosts controlled by a remote attacker. Current network-based DDoS defenses can only filter out malicious traffic based on the traffic’s inherent properties; they cannot filter based on properties of the endhost that generated the traffic. We observe that the identity of the code that has generated a packet offers...

Mitigating DDoS Attacks Using OpenFlow-Based Software Defined Networking

Over the last years, Distributed Denial-of-Service (DDoS) attacks have become an increasing threat on the Internet, with recent attacks reaching traffic volumes of up to 500 Gbps. To make matters worse, web-based facilities that offer “DDoS-as-a-service” (i.e., Booters) allow for the layman to launch attacks in the order of tens of Gbps in exchange for only a few euros. A recent development in ...

Mitigating Flooding-Based DDoS Attacks by Stochastic Fairness Queueing

Flooding-based DDoS attacks is a very common way to attack a victim machine by directly or indirectly sending a large amount of malicious traffic to it. Stochastic Fairness Queueing (SFQ) is a typical implementation of Fair Queueing. This paper focuses on exploring the feasibility of mitigating flooding-based DDoS attacks by queueing disciplines. A comparative study is made between SFQ and FCFS...