Preventing Service Oriented Denial of Service (PreSODoS): A Proposed Approach

Padmanabhuni, Srinivas; Singh, Vineet; Kumar, K Senthil; Chatterjee, Abhishek

doi:10.1109/icws.2006.102

Cited by 28 publications

(14 citation statements)

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“…In this paper, the proposed approach provides a new cybersecurity approach for protecting cloud services against all DDoS attacks such as volumebased, protocol-based, and application layer-based DDoS attacks. The proposed approach considered as a more general model comparing with other approaches mentioned above such as the cloud defender system presented in [11][12][13][14], which focuses on the application-layer attacks to detect and prevent HTTP or XML-based DDoS attacks, as well as the system presented in [31,32] which focuses on the detection and prevention of DDoS attacks in SIPbased Voice over IP networks.…”

Section: Related Workmentioning

confidence: 99%

A New Cybersecurity Approach for Protecting Cloud Services against DDoS Attacks

El-Sofany¹

2020

IJIES

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Cybersecurity of cloud services is extremely important, especially when developing web services and cloud apps. Cloud computing depends on internet connections; therefore, the security of its services is constantly under attack. Distributed Denial of Service (DDoS) attacks are a malicious attempt to damage the normal traffic of the targeted cloud by flooding it with internet traffic. As a result, this causes a serious problem for cloud computing security. The objectives of this paper are, to introduce a new cybersecurity approach for protecting cloud services against all types of DDoS attacks, to evaluate the performance and effectiveness of the proposed algorithm, and to use the contribution of correlation coefficient analysis for validating the effectiveness of the proposed approach by identifying the relationship between malicious and legitimate traffic. The researcher evaluated the performance of the proposed approach in terms of accuracy, sensitivity, and specificity. The feedback of the experiments was highly promising for protecting cloud services against DDoS Attacks. The experiments showed encouraging results for preventing DDoS attacks, with an average performance of 95.41%, an average accuracy of 96.53%, an average sensitivity of 92.31%, and an average specificity of 97.39%.

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Section: Related Workmentioning

confidence: 99%

A New Cybersecurity Approach for Protecting Cloud Services against DDoS Attacks

El-Sofany¹

2020

IJIES

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“…This type of attack exploits vulnerable points within the standard components supporting the technology. There are several initiatives within this field: [7,[11][12][13][14][15][16][17][18]. However, the main common disadvantage that each of these approaches has is their low capacity to adapt themselves to changes in the patterns.…”

Section: Introductionmentioning

confidence: 99%

Real-time CBR-agent with a mixture of experts in the reuse stage to classify and detect DoS attacks

Pinzón¹,

Paz²,

Navarro³

et al. 2011

Applied Soft Computing

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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: http://www.elsevier.com/copyright

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“…Padmanabhun et al [31] give an overview of the underlying issues behind XML and how this can lead to a DoS. They explain how SOAP allows to send and receive XML messages regardless of the underlying implementation of the application or the transport protocol (HTTP, SMTP, etc.…”

Section: Xml-dos and Http-dosmentioning

confidence: 99%

A Survey of Denial-of-Service and Distributed Denial of Service Attacks and Defenses in Cloud Computing

Bonguet

Bellaïche

2017

Future Internet

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Cloud Computing is a computing model that allows ubiquitous, convenient and on-demand access to a shared pool of highly configurable resources (e.g., networks, servers, storage, applications and services). Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) attacks are serious threats to the Cloud services' availability due to numerous new vulnerabilities introduced by the nature of the Cloud, such as multi-tenancy and resource sharing. In this paper, new types of DoS and DDoS attacks in Cloud Computing are explored, especially the XML-DoS and HTTP-DoS attacks, and some possible detection and mitigation techniques are examined. This survey also provides an overview of the existing defense solutions and investigates the experiments and metrics that are usually designed and used to evaluate their performance, which is helpful for the future research in the domain.

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Preventing Service Oriented Denial of Service (PreSODoS): A Proposed Approach

Cited by 28 publications

References 0 publications

A New Cybersecurity Approach for Protecting Cloud Services against DDoS Attacks

A New Cybersecurity Approach for Protecting Cloud Services against DDoS Attacks

Real-time CBR-agent with a mixture of experts in the reuse stage to classify and detect DoS attacks

A Survey of Denial-of-Service and Distributed Denial of Service Attacks and Defenses in Cloud Computing

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