2016
DOI: 10.1016/j.future.2015.09.009
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Automated root cause identification of security alerts: Evaluation in a SaaS Cloud

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Cited by 27 publications
(7 citation statements)
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“…Intelligible models are topical in this perspective, as they drive situational awareness for human operators [13]. Intelligibility means that the model is easily understandable, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Intelligible models are topical in this perspective, as they drive situational awareness for human operators [13]. Intelligibility means that the model is easily understandable, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, a dynamic perspective should be used to explain post-adoption phenomena [13]. This implies that users' post-adoption behavior is value-directed (or changed), which reflects that their perceived value based on their interaction with IS applications serves as the motivational impetus to transform their antecedents for adoption decisions into post adoption behavior [14]. While useful, this body of work does not account for a set of SaaS features and "how" and "why" they affect commitment.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Also, the existing research studies in this mechanism will be compared according to structural properties and evaluation factors. Cotroneo et al (2016) introduced a structure to analyze large volumes of security alarms and to support the automated recognition of the alarms root reasons. The structure accepts weighting and theoretical clustering methods to fill the hole between the unstructured textual alarms and the decision tree formalization.…”
Section: Business Applications In Cloud Environmentsmentioning
confidence: 99%