Capacity Evaluation of Multi-modal Network Notification Service

Li, J. Jenny; Mallows, C. L.; Landwehr, Jim

doi:10.1109/compsac.2012.16

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…The next section presents a case study that applies the EH for detecting DDoS and the diagnosis is given in Li et al (2012).…”

Section: Diagnosis the Sources Of Attacksmentioning

confidence: 99%

“…This shows the correlations between event factors and delivery time measurements and can be used for DDoS detection when DDoS traffic distorts such a fitting model. In addition to using clean data to obtain a model for the delivery time measurements from the factors and their levels, an important analytical task is to diagnose the sources of the attacks which is given in Li et al (2012).…”

Section: Another Sample Usage Of Eh For Ddos Detectionmentioning

confidence: 99%

“…This approach is a new application of reversed combinatorial testing with EC mapping and data consistency checking. It is also an extension of our previous method in escalation analysis for performance assessment (Li et al, 2012). The key extension is the monitoring of social events rather than user traffic.…”

Section: Introductionmentioning

confidence: 99%

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Automatic detection of DDoS attacks to notification services

Savor

2017

IJIPSI

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A notification service alerts a large number of recipients to important or emergency events in a timely manner. A denial of service (DoS) attack inserts unnecessary traffic to slow down or chock the notification service and a distributed DoS (DDoS) comes from seemingly various sources. The challenge of automated detection of DDoS attacks lies in distinguishing attacks from temporary surge of normal notification traffic. This paper proposes an 'escalation hierarchy' method to detect such types of DDoS intrusions by monitoring performance degradation at various levels of social events. Our trial of the method on an industrial large-scale notification service showed the effectiveness of our method through automating both consistency checking of measurement data and identification of causes for performance degradation.

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“…The next section presents a case study that applies the EH for detecting DDoS and the diagnosis is given in Li et al (2012).…”

Section: Diagnosis the Sources Of Attacksmentioning

confidence: 99%

Section: Another Sample Usage Of Eh For Ddos Detectionmentioning

confidence: 99%

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Automatic detection of DDoS attacks to notification services

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2017

IJIPSI

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“…Colin: Well, I don't know. I'm lucky to be collaborating now with Jenny Li on these problems because she often brings me back to reality (Li et al ). My interest, I think, is more statistical than mathematical in that the idealized version of the problem is that you run a few cases and then have to design a few more.…”

Section: Research Topics: Robustness Graphics Ranking Models Softwmentioning

confidence: 99%

A Conversation with Colin L. Mallows

Denby

Landwehr

2013

Int Statistical Rev

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SummaryColin L. Mallows has had a distinguished career as a research statistician in the telecommunications industry, primarily at Bell Labs, that has spanned more than 50 years.Best known for creating ‘ Cp', the regression model diagnostic procedure that has been widely used and probably benefitted all statisticians who have done regressions, Mallows also has, and continues, to produce influential research on a wide variety of statistical and mathematical topics. He has received the Wilks Memorial Award, the American Statistical Associations' highest award and presented both the Fisher Lecture and the Deming Lecture at the Joint Statistical Meetings. Mallows is one of only two statisticians (the other being George Box) to have received all three of these honours that are among the highest the profession bestows.Born in England in 1930, Mallows received his PhD at the age of 22 from University College London under F.N. David and N.L. Johnson. In 1956, John Tukey invited him to spend a year at Princeton, and in 1960, Mallows joined Bell Labs, the R&D unit of AT&T, which at the time was the regulated monopoly telecommunications provider in the USA (Ma Bell). Mallows served as Department Head of one of the two Bell Labs Statistics Research Departments for many years and remained at Bell Labs until 1995, when he joined the AT&T Labs unit that was created as part of the restructuring of the telecommunications industry. Since his retirement from AT&T Labs in 2000, Mallows continues to consult part‐time in Avaya Labs, which is a sister company in telecommunications that also traces its roots back to AT&T and Bell Labs.This conversation was held in November, 2011, with two long‐time colleagues and collaborators from both Bell Labs and now Avaya Labs. After recording and transcription, the conversation was edited by the participants.

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Capacity Evaluation of Multi-modal Network Notification Service

Cited by 2 publications

References 6 publications

Automatic detection of DDoS attacks to notification services

Automatic detection of DDoS attacks to notification services

A Conversation with Colin L. Mallows

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