Bayesian Activity Modelling for Network Flow Data

Clausen, Henry; Briers, Mark; Adams, Niall M.

doi:10.1142/9781786345646_003

Cited by 1 publication

(2 citation statements)

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“…Examples of these include the following: Clausen et al . (2018), where a Markov‐modulated Poisson process embedded in a fast and scalable Bayesian framework was used in the modelling for network flow data; Chen et al . (2018), where a novel class of Bayesian dynamic models was introduced and applied to Internet traffic and, according to the authors, the sequential analysis is fast, scalable and efficient; Muñoz González et al .…”

Section: New and Emerging Challengesmentioning

confidence: 99%

“…From a Bayesian perspective, some scalable approaches have been designed for modelling and detecting anomalies in cyber security applications. Examples of these include the following: Clausen et al (2018), where a Markov-modulated Poisson process embedded in a fast and scalable Bayesian framework was used in the modelling for network flow data; Chen et al (2018), where a novel class of Bayesian dynamic models was introduced and applied to Internet traffic and, according to the authors, the sequential analysis is fast, scalable and efficient; Muñoz González et al (2017) explored two methods for scalable inference on Bayesian attack graphs; other models like the one described in Rubin-Delanchy (2016) andin Sanna Passino & are fully parallelisable and suitable for platforms designed for Big Data analysis like Hadoop.…”

Section: Scalabilitymentioning

confidence: 99%

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Bayesian Models Applied to Cyber Security Anomaly Detection Problems

Perusquía

Griffin

Villa

2021

Int Statistical Rev

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Summary Cyber security is an important concern for all individuals, organisations and governments globally. Cyber attacks have become more sophisticated, frequent and dangerous than ever, and traditional anomaly detection methods have been proved to be less effective when dealing with these new classes of cyber threats. In order to address this, both classical and Bayesian models offer a valid and innovative alternative to the traditional signature‐based methods, motivating the increasing interest in statistical research that it has been observed in recent years. In this review, we provide a description of some typical cyber security challenges, typical types of data and statistical methods, paying special attention to Bayesian approaches for these problems.

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Section: New and Emerging Challengesmentioning

confidence: 99%