Discovering irregular periodic patterns in audit data

Getta, Janusz R.

doi:10.1109/compcomm.2016.7924671

Cited by 2 publications

(1 citation statement)

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“…The second approach involves a periodic check of the system at predetermined intervals [7][8][9][10]. This is consistent with time schedules and allows the existing resource restrictions to be taken into consideration, but fails to fully reflect the stochastic nature of the occurrence of various errors and irregularities.…”

Section: Mathematical Models Of Periodic Monitoring and Backupmentioning

confidence: 99%

Periodic Monitoring and Recovery of Resources in Information Systems

Markov¹,

Barabanov²,

Tsirlov³

2018

Probabilistic Modeling in System Engineering

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This section deals with the issues of business continuity and recovery after disasters. The authors analyzed standards, laws, and regulations pertaining to the parameters of periodic monitoring and recovery in information systems. This section includes mathematical models of resources and environment periodic monitoring as well as periodic backup and recovery after interruptions or disasters. The work demonstrates that the well-known deterministic periodic monitoring and backup models do not take into account stochastic peculiarities of ergatic systems to the full extent. The authors developed new stochastic models of restricted monitoring and backup that allow taking into consideration resources constrains and random factors of information systems operation. The notion of Bernoulli stream has been introduced. This section suggests the criteria for selecting deterministic or stochastic monitoring and backup models and their combinations. A solution of direct and reverse task of the calculation of control and monitoring procedures frequency is offered. This section also provides a methodology for information system stability management, considering periodic monitoring, rollback, and recovery in case of interruption.

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Section: Mathematical Models Of Periodic Monitoring and Backupmentioning

confidence: 99%