Proceedings ArticleDOI
A Recurrence Quantification Analytical Approach to Detect DDoS Attacks
N. Jeyanthi,J. Vinithra,Sneha,R. Thandeeswaran,N. Ch. S. N. Iyengar +4 more
- pp 58-62
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TLDR
A mathematical model called Recurrence Quantification Analysis (RQA) is proposed for detecting the DDoS attacks by computing entropy and determinism of selected packet attributes and to detect the anomalies and check the performance.Abstract:
Distributed Denial of Service (DDoS) is a type of attack in the application layer initiated from the various hosts to a single web server. The aim of this attack is to consume all the resources of the targeted system by exploiting the vulnerability. We proposed a mathematical model called Recurrence Quantification Analysis (RQA) for detecting the DDoS attacks by computing entropy and determinism of selected packet attributes. To detect the anomalies and check the performance we considered the live traffic traces from the network and various RQA parameters like entropy, laminarity and determinism were used to determine the uncertainty or randomness in the dataset.read more
Citations
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Journal ArticleDOI
Network Attacks and Their Detection Mechanisms: A Review
TL;DR: Different type of possible network attacks and detection mechanisms proposed by various researchers that are capable of detecting such attacks are reviewed.
Journal ArticleDOI
Rqa based approach to detect and prevent ddos attacks in voip networks
TL;DR: A Recurrence Quantification based approach to detect and prevent VoIP from a DDoS attack, which detects the attack at an earlier stage and also helps to prevent from further attacks.
Journal ArticleDOI
A survey on DoS/DDoS attacks mathematical modelling for traditional, SDN and virtual networks
Juan Fernando Balarezo,Song Wang,Karina Gomez Chavez,Akram Al-Hourani,Sithamparanathan Kandeepan +4 more
TL;DR: In this article, the authors present a classification approach for existing DoS/DDoS models in different kinds of networks; traditional networks, Software Defined Networks (SDN) and virtual networks.
Combining Recurrence Quantification Analysis and Adaptive Clustering to Detect DDoS Attacks.
TL;DR: This work proposes a new method, called DDoS by RQA, which uses the Recurrence Quantification Analysis (RQA) based on the extraction of network traffic dynamic features and the combination with an Adaptive Clustering Algorithm (A-Kmeans) to detect DDoS attacks.
Journal ArticleDOI
Credit Based Methodology to Detect and Discriminate DDOS Attack From Flash Crowd in A Cloud Computing Environment
TL;DR: A new reputation-based framework for mitigating the DDoS in cloud by classifying the users into three categories as well- reputed, reputed and ill-reputed based on credits is proposed, expected to take the edge off DDoS off in a cloud environment and ensures full security to cloud resources.
References
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Journal ArticleDOI
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TL;DR: This paper presents two taxonomies for classifying attacks and defenses in distributed denial-of-service (DDoS) and provides researchers with a better understanding of the problem and the current solution space.
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Proceedings ArticleDOI
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Journal ArticleDOI
Survey of network-based defense mechanisms countering the DoS and DDoS problems
TL;DR: This survey analyzes the design decisions in the Internet that have created the potential for denial of service attacks and the methods that have been proposed for defense against these attacks, and discusses potential countermeasures against each defense mechanism.
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