Nowadays, Distributed Denial-of-Service (DDoS) attacks are a major threat for all sizes of networks. The number of attacks against companies and institutions steadily increased over the last years. Downtime of an enterprise network usually causes financial damage. Therefore, it is important to have mechanism for DDoS defense. In this paper, various DDoS defense mechanisms are reviewed and compa...

The future of the Internet is predicted to be on the cloud, resulting in more complex and more intensive computing, but possibly also a more insecure digital world. The presence of a large amount of resources organized densely is a key factor in attracting DDoS attacks. Such attacks are arguably more dangerous in private individual clouds with limited resources. This paper discusses several pro...

Modern critical infrastructures such as the power grid are frequently targeted by distributed denial-of-service (DDoS) attacks. Unlike traditional information and communications systems, where the effects of DDoS attacks are mostly limited to the cyber realm, disruptive attacks on critical infrastructure assets can result in the loss of vital services such as transportation and health care. Thi...

The nature of the threats posed by Distributed Denial of Service (DDoS) attacks on large networks, such as the Internet, demands effective detection and response methods. These methods must be deployed not only at the edge but also at the core of the network. The DDoS Tolerant Networks technology incorporates methods to detect, characterize, and respond to DDoS attacks by computing entropy and ...

DDoS attacks are one of the top security problems affecting networks and disrupting services to legitimate users. The vital step in dealing with this problem is the network’s ability to detect such attacks. To train and analyze countermeasures, researchers typically simulate the DDoS attacks traffic by either the specialized simulator (i.e. software, hardware) or the comprehensive testbed. This...

Distributed Denial of Service (DDoS) attack imposes a severe threat to the extensively used Internet based services like e-commerce, e-banking, transportation, medicine, education etc. Hackers compromises the vulnerable systems for launching DDoS attacks in order to degrade or sometimes completely disrupt such services. In recent years, DDoS attacks have been increased in frequency, sophisticat...

mod_security (an open source intrusion detection and prevention engine for to the Internet, securing your systems against attackers must be a high priority. An Intrusion Detection System against DDOS for MANETs attacks MANET also contains wireless sensor nodes, these highly secure IDS to detect attacks. 2. knowledge from the packet flow and packet details to detect DDOS attacks.

Internet worms and DDoS attacks are considered the two most menacing attacks on today’s Internet. The traditional wisdom is that they are different beasts, and they should be dealt with independently. In this paper, however, we show that a unified rate limiting algorithm is possible, which effectively works on both Internet worms and DDoS attacks. The unified approach leads to higher worm traff...

Distributed denial-of-service DDoS flood attacks remain great threats to the Internet. To ensure network usability and reliability, accurate detection of these attacks is critical. Based on Li’s work on DDoS flood attack detection, we propose a DDoS detection method by monitoring the Hurst variation of long-range dependant traffic. Specifically, we use an autoregressive system to estimate the H...

Some of the hardest to mitigate distributed denial of service attacks (DDoS) are ones targeting the application layer. Over the time, researchers proposed many solutions to prevent denial of service attacks (DDoS) from IP and TCP layers instead of the application layer. New application Layer based DDoS attacks utilizing legitimate HTTP requests to overwhelm victim resources are more undetectabl...