Analysis of DDoS Attacks and an Introduction of a Hybrid Statistical Model to Detect DDoS Attacks on Cloud Computing Environment

Girma, Anteneh; Garuba, Moses; Li, Jiang; Liu, Chunmei

doi:10.1109/itng.2015.40

Cited by 47 publications

(16 citation statements)

References 16 publications

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“…ments [16]. A separate variation that utilizes both the covariance approach and entropy based system is proposed by [18] that offers in-depth detection at the host and network levels.…”

Section: Literature Reviewmentioning

confidence: 99%

A Survey of Cloud Computing Detection Techniques against DDoS Attacks

Alzahrani¹,

Liang²

2018

JIS

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A Distributed Denial of Service Attack (DDoS) is an attack in which multiple systems compromised by a Trojan are maliciously used to target a single system. The attack leads to the denial of a certain service on the target system. In a DDoS attack, both the target system and the systems used to perform the attack are all victims of the attack. The compromised systems are also called Botnets. These attacks occur on networked systems, among them the cloud computing facet. Scholars have tried coming up with separate mechanisms for detecting and preventing such attacks long before they occur. However, as technology progresses in advancement so do the attack mechanisms. In cloud computing, security issues affect various stakeholders who plan on cloud adoption. DDoS attacks are such serious concerns that require mitigation in the cloud. This paper presents a survey of the various mechanisms, both traditional and modern, that are applied in detecting cloud-based DDoS attacks.

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“…ments [16]. A separate variation that utilizes both the covariance approach and entropy based system is proposed by [18] that offers in-depth detection at the host and network levels.…”

Section: Literature Reviewmentioning

confidence: 99%

A Survey of Cloud Computing Detection Techniques against DDoS Attacks

Alzahrani¹,

Liang²

2018

JIS

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“…In the literature, there are many approaches used to detect DDoS attacks. They are discussed in [4], [5] and [9]. A hybrid statistical model is employed in [4] for DDoS attack detection.…”

Section: Introductionmentioning

confidence: 99%

“…They are discussed in [4], [5] and [9]. A hybrid statistical model is employed in [4] for DDoS attack detection. Entropy based detection of DDoS attacks is explored in [5] while various defines mechanisms for flooding DDoS attacks is investigated in [9].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Model for Detecting DDoS Attacks in Wide Area Networks

Arshad¹,

Hussain²

2019

IJRTE

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Wide Area Networks (WANs) are subjected massive Denial of Service (DoS) attacks known as Distributed Denial of Service (DDoS) attacks. There are many distributed computing use cases in the real world. They include banking, insurance, e-Commerce and a host of other applications. In distributed environments, these applications are targeted by adversaries for launching DDoS attacks of various kinds. Such attacks cause the servers to be very busy answering fake traffic from the compromised nodes used by attackers from behind the scene. Large number of computers over Internet are compromised by attackers and through such machines DDoS attack is made. The server machines that provide services to genuine users become victims of such attacks. Detecting DDoS attacks is difficult in the presence of flash crowds that resembles DDoS traffic. As there are different kinds of DDoS attacks, it is understood, from the literature, that there is need for further research to have a comprehensive framework for detecting different kinds of DDoS attacks. In this paper we proposed a hybrid approach for detecting various kinds of DDoS attacks and simulation study is made to have proof of the concept. The results of the experiments revealed that the proposed methodology is useful to detect DDoS attacks in wide area networks.

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“…The cloud users need not pay extra amount for resource over-provisioning by using dynamic scaling [2]. DDoS attacks have been a key challenge to the researchers and significant security issue to the cloud computing environment [3,4]. DDoS attackers can send huge number of forged requests from many zombie computers to the cloud server for making cloud resource unavailable.…”

Section: Introductionmentioning

confidence: 99%