Defence for Distributed Denial of Service Attacks in Cloud Computing

Carlin, Andrew P.; Hammoudeh, Mohammad; Aldabbas, Omar

doi:10.1016/j.procs.2015.12.037

Cited by 38 publications

(17 citation statements)

References 22 publications

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“…Apart from these, thestudy also discussed the various security problems, latest developments for thesecurity of virtual machines and latestdefense mechanisms. Thus study provided the detail for future research direction [8].…”

Section: H Wang Et Al [2002]mentioning

confidence: 89%

Analysis on DDoS attacks in Cloud Networks

2017

ajcsit

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Cloud computing is a rising technology that utilizes a combination of hardware and software to deliver services to the end users over the internet. As the internet is always prone to security threats, reliability and safety in cloud computing environment become a crucial concern. DDoS (Distributed Denial of Service) attack is the biggest threat to all the cloud computing users which is being used at present. The main motive behind the DDoS attack is to prevent the target users from utilizing the network resources efficiently. With the changes in the cloud computing environment, significant changes have been seen in techniques to prevent the DDoS attack. In this paper, we will focus on the cloud computing architecture and how DDoS attacks affect cloud computing environment. Along with this, different kind of DDoS attacks are explored, and various defense mechanism against these attacks are presented.

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Section: H Wang Et Al [2002]mentioning

confidence: 89%

Analysis on DDoS attacks in Cloud Networks

2017

ajcsit

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“…This work automates the reservation at the cost of high computational overhead. A defence system for distributed denial of service is reviewed in [8]. This article classifies the DDoS cloud protection systems into knowledge and anamoly based systems for purpose of review.…”

Section: Review Of Literaturementioning

confidence: 99%

SDN Based DDoS Attack Detection System by Exploiting Ensemble Classification for Cloud Computing

Vimala¹,

Dhas²

2018

IJIES

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The usage of cloud computing is skyrocketing now-a-days and so is the network traffic. The adversaries intend to attack the cloud servers due to some intentional reasons. The most frequent attack is the data theft, which is followed by the DDoS attack. Though numerous solutions exist to handle DDoS attack, SDN based solutions for cloud computing is scarce. Understanding the need of the DDoS attack detection system, this work proposes a SDN based solution for detecting DDoS attacks in cloud computing environment, which relies on ensemble classifier. This work collects the real time traffic data with the help of Wireshark network analyser tool. The ensemble classification relies on the classifiers k-Nearest Neighbour (k-NN), Support Vector Machine (SVM) and Extreme Learning Machine (ELM). The performance of the proposed approach is analysed in terms of accuracy, sensitivity, specificity and the results are compared with the existing approaches. Additionally, in order to prove the potentiality of the ensemble classification, this work employs the classifier individually and the results are compared. Finally, the average attack detection time is measured and compared. From the experimental results, it is observed that the proposed approach proves better results in terms of accuracy, sensitivity and specificity.

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“…There seems to be very little research conducted in the literature regarding the code integrity. It is crucial to make certain the correctness of application execution especially when dealing with computation/ code offloading, code integrity is key and as stated in [37] "loss of integrity can leads to modification attack".…”

Section: Testing Data Integrity After Encryptionmentioning

confidence: 99%

“…Availability and reliability of MCC is crucial both for the user as well as the cloud service provider, this could be a security issue as stated in [37] by Bhatia and Verma, availability ensures that authorised parties are able to access information when required.…”

Section: Service Availability Riskmentioning

confidence: 99%

Data security issues in the realm of mobile cloud computing: A survey

Anwar

2018

Preprint

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Mobile Cloud Computing (MCC) is a recent technological development, which has emerged from two popular technology trends; mobile computing and cloud. In essence it revolutionises the capabilities of mobile devices by integrating both storage and processing of the cloud environment with mobile computing and in doing so providing greater optimisation and operating power, allowing for transparent and seamless use of resources provided by the cloud. However, expanding the capability of resource constrained mobile devices in this manner comes at a price. There are many risks associated with the security of data within the cloud environment and as MCC essentially uses the cloud, it also inherits any security issues that are associated with cloud computing. The aim of this survey is to identify potential data security issues, and analyse and present some pioneering security mechanisms and finally suggest some future directions for better data security with MCC.

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Defence for Distributed Denial of Service Attacks in Cloud Computing

Cited by 38 publications

References 22 publications

Analysis on DDoS attacks in Cloud Networks

Analysis on DDoS attacks in Cloud Networks

SDN Based DDoS Attack Detection System by Exploiting Ensemble Classification for Cloud Computing

Data security issues in the realm of mobile cloud computing: A survey

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