An Adaptive Approach to Mitigate Ddos Attacks in Cloud

Singh, Balwant; Panda, S. N.

doi:10.14569/ijacsa.2015.061006

Cited by 5 publications

(3 citation statements)

References 29 publications

(28 reference statements)

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“…Protocol homogeneity is exploited by such attacks, an attempt of studying random timeout mechanism is made in [36]. DDOS attacks detection techniques are reviewed, and a numerically stable framework development is focussed in this paper [37]. A literature review and different algorithm analysis are done.…”

Section: Figure30 "Low Rate Ddos Time Diagram"mentioning

confidence: 99%

An Overview of DDOS Attacks Detection and Prevention in the Cloud

Fakeeh¹

2016

IJAIS

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Security is an illusion unless you are hacked. Attacks in the Cloud have more catastrophic and destructive impact on the organizations than the user might expect. As attacks are constantly evolving and making it difficult to defend. Most of the organization will try to check their devices in the cloud to protect against viruses with traditional security measures like antiviruses, or firewall thinking it secures across different attacks, but with a wide range of change in attack pattern organizations have exposed to significant operational and business consequences, not to mention public embarrassment. In this paper, we conducted the survey on DDOS (Distributed Denial of Service) attacks research work and analyzed prevention and detection methods used for DDOS attacks in the cloud. We found that there is a good amount of research scope in detecting and preventing slow client application layer attacks in the cloud.

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Section: Figure30 "Low Rate Ddos Time Diagram"mentioning

confidence: 99%

An Overview of DDOS Attacks Detection and Prevention in the Cloud

Fakeeh¹

2016

IJAIS

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“…Singh et al [11] proposed threshold based approach to detect DDoS attack in cloud computing. In this approach, the normal behavior and abnormal behavior methods to detect DDoS attack were analyzed.…”

Section: Mechanisms To Address Ddos Attacksmentioning

confidence: 99%

The conjectural framework for detecting DDoS attack using enhanced entropy based threshold technique (EEB-TT) in cloud environment

Manimaran¹,

Durairaj²

2016

IJACR

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“…A threshold mechanism is one of the techniques used for detecting DDoS attacks by enabling the identification of network traffic flow, whether normal or attack traffic [11,12]. However, it is not easy to effectively establish the threshold value since it is dependent on the network traffic flow characteristics.…”

Section: Introductionmentioning

confidence: 99%

Renyi Joint Entropy-Based Dynamic Threshold Approach to Detect DDoS Attacks against SDN Controller with Various Traffic Rates

et al. 2022

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The increasing incidence of distributed denial-of-service (DDoS) attacks has made software-defined networking (SDN) more vulnerable to the depletion of controller resources. DDoS attacks prevent the SDN controller from processing all incoming data efficiently, potentially disrupting a network or denying legitimate users access to network services. Thus, the protection of the SDN controller is crucial, especially from the ones that exploit the SDN characteristics. In this paper, the authors propose an efficient detection approach for low- and high-rate DDoS attacks on the controller with a high detection rate and a low false positive rate by adapting a dynamic threshold algorithm rather than a static one and proposing a new rule-based detection mechanism. In addition, the proposed approach was evaluated using eight simulation scenarios representing all potential attacks against the SDN controller in terms of attack traffic rates (low or high), sources (either single or multiple hosts), and targets (single or multiple victims). The experiment results show that the proposed approach is more effective than the existing approaches based on attack detection and false positive rates.

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An Adaptive Approach to Mitigate Ddos Attacks in Cloud

Cited by 5 publications

References 29 publications

An Overview of DDOS Attacks Detection and Prevention in the Cloud

An Overview of DDOS Attacks Detection and Prevention in the Cloud

The conjectural framework for detecting DDoS attack using enhanced entropy based threshold technique (EEB-TT) in cloud environment

Renyi Joint Entropy-Based Dynamic Threshold Approach to Detect DDoS Attacks against SDN Controller with Various Traffic Rates

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