Benchmarks for DDOS Defense Evaluation

Mirković, Jelena; Arikan, Erinc; Wei, Songjie; Thomas, Roshan K.; Fahmy, Sonia; Reiher, Peter

doi:10.1109/milcom.2006.302006

Cited by 29 publications

(11 citation statements)

References 19 publications

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“…DDoS defense includes typical benchmark suite [10] contains typical attack scenarios and comprehensive suite that influence defense's performance. It facilitates interaction of select feature instead of performing exhaustive testing in multidimensional space.…”

Section: Benchmarksmentioning

confidence: 99%

Defense Mechanisms for Bandwidth DDOS Attacks and Its Issues

Havale¹

2015

IJRITCC

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Abstract-The Development of the Information Technology enables delivery or processing information to the end-users with respect to the capacities of the Internet architecture. The evolution and development of the technology impacts the nature and conflict of war such as threats emanating from cyberspace. The Distributed Denial-of-service (DDoS) phenomenon poses a serious threat to stability and reliability of the Internet Architecture as long as there is a rise in the internet population. The DDoS attack involving large number of compromised machines affects the legitimacy service to the end-users. In this paper, we have surveyed the ongoing various approaches for mitigating DDoS attacks and operational issues, benchmark challenges and political concerns.

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Section: Benchmarksmentioning

confidence: 99%

Defense Mechanisms for Bandwidth DDOS Attacks and Its Issues

Havale¹

2015

IJRITCC

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“…While these are far from perfect, we believe they are a good first step towards improving DoS defense evaluation. Due to space constraints, we summarize our results here and refer readers to [7,8,10,12,15] for more details.…”

Section: Ddos Benchmark Overviewmentioning

confidence: 99%

“…In this paper, we summarize these efforts and their outcomes: a set of DoS defense benchmarks and a set of denial of service metrics. While our work on benchmarks and metrics has been extensively published [7][8][9][10][11][12][13][14][15], this paper focuses on specific applications of this work to improve the quality of DoS evaluation. Our solutions are not the final answers in the quest for more scientific DoS defense evaluation, but they are useful steps toward that goal.…”

Section: Introductionmentioning

confidence: 99%

How to Test DoS Defenses

Mirković¹,

Fahmy

Reiher

et al. 2009

2009 Cybersecurity Applications &Amp; Technology Conference for Homeland Security

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DoS defense evaluation methods influence how well test results predict performance in real deployment. This paper surveys existing approaches and criticizes their simplicity and the lack of realism. We summarize our work on improving DoS evaluation via development of standardized benchmarks and performance metrics. We end with guidelines on efficiently improving DoS evaluation, in the short and in the long term.

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“…DDoS mitigation techniques are plenty [7], [11], [13]. It ranges from simple packet dropping [6] to more sophisticated techniques [14].…”

Section: Introductionmentioning

confidence: 99%

CoDe — An collaborative detection algorithm for DDoS attacks

Shalinie

Kumar

Karthikeyan

et al. 2011

2011 International Conference on Recent Trends in Information Technology (ICRTIT)

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Security threats for the network services have been constantly increasing day by day. Distributed denial of service (DDoS) attack is one such kind of security threat which involves multiple systems generating a large amount of traffic towards a target machine and thereby making any service from that target machine or server unavailable to its clients. This threat by nature needs no control over the target system. Traditional methods of detecting DDoS attacks are mostly centralized in nature and highly disadvantageous. To overcome the disadvantages of those schemes, we propose a distributed methodology which involves installing the attack detectors at various parts of the network. Each router in the network will monitor the traffic flowing through it and if any anomaly in the traffic pattern is detected, it will raise an alarm to the nearby routers. The alarm propagates to all the routers through which the attack flows. By this way a tree like construct is made, which will have information about number of alarms raised and the path of the attack flow. If the construct shows any converging pattern then it is declared as DDoS attack.

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Benchmarks for DDOS Defense Evaluation

Cited by 29 publications

References 19 publications

Defense Mechanisms for Bandwidth DDOS Attacks and Its Issues

Defense Mechanisms for Bandwidth DDOS Attacks and Its Issues

How to Test DoS Defenses

CoDe — An collaborative detection algorithm for DDoS attacks

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Benchmarks for DDOS Defense Evaluation

Cited by 29 publications

References 19 publications

Defense Mechanisms for Bandwidth DDOS Attacks and Its Issues

Defense Mechanisms for Bandwidth DDOS Attacks and Its Issues

How to Test DoS Defenses

CoDe &#x2014; An collaborative detection algorithm for DDoS attacks

Contact Info

Product

Resources

About

CoDe — An collaborative detection algorithm for DDoS attacks