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...

Abstract: Cloud computing provides multiple services to the cloud users, particularly in Infrastructure as a service (Ias) clouds user may install vulnerable software on their virtual machines. Attackers exploit these virtual machines to compromise as zombie and by using it attacker can perform Distributed denial of service (DDOS) attacks. The Distributed Denial of service attacks (DDOS) caused...

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 ...

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 on the World Wide Web in broad-spectrum and predominantly in modern cloud computing has become a noticeable issue for researchers in academia and industry related to the field of computer sciences. DDoS attacks are cool to provoke but their uncovering is a very challenging and dingy task and therefore, an eye-catching weapon for hackers. Hence DDoS torrents do not have familiar app...

Application Layer Distributed Denial of Service (App-DDoS) attack has become a major threat to web security. Attack detection is difficult as they mimic genuine user request. This paper proposes a clustering based correlation approach for detecting application layer DDoS attack on HTTP protocol. Proposed approach has two main modules ----Flow monitoring module and User behavior monitoring modul...

Resource depletion is a universal indicator of Distributed Denial of Service (DDoS) attacks. In this paper, we propose a ratio based control algorithm for detection and throttling of DDoS attacks. We use the sliding mode control (SMC) control theory to formulate and optimize the traffic control conditions for DDoS defense. A cluster-based control model is developed for the environment of an ope...

Nowadays, users can easily access and download network attack tools, which often provide friendly interfaces and easily operated features, from the Internet. Therefore, even a naive hacker can also launch a large scale DoS or DDoS attack to prevent a system, i.e., the victim, from providing Internet services. In this paper, we propose an agent based intrusion detection architecture, which is a ...

Cloud security is one of most important issues that has attracted a lot of research and development effort in past few years. Particularly, attackers can explore vulnerabilities of a cloud system and compromise virtual machines to deploy further large-scale Distributed Denialof-Service(DDoS). DDoS attacks usually involve early stage actions such as multi-step exploitation, low frequency vulnera...

While there are plenty of papers describing algorithms for detecting distributed denial of service (DDoS) attacks, here an introduction to the considerations preceding such an implementation is given. Therefore, a brief history of and introduction to DDoS attacks is given, showing that these kind of attacks are nearly two decades old. It is also depicted that most algorithms used for the detect...