Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems 2011
DOI: 10.1109/idaacs.2011.6072866
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Machine self-learning applications in security systems

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Cited by 5 publications
(2 citation statements)
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“…An arrangement of compromised strategies is explored in this study [27], to build information fine-tuning and self-learning mechanisms in an extensive variety of security frameworks. The anticipated self-learning strategies are amalgamated with other web/information extraction, abnormality location, factual techniques, and show new approaches in the advancement of mutual transformative frameworks.…”
Section: Comparative Study Of Defense Approaches In Current Scenariomentioning
confidence: 99%
See 1 more Smart Citation
“…An arrangement of compromised strategies is explored in this study [27], to build information fine-tuning and self-learning mechanisms in an extensive variety of security frameworks. The anticipated self-learning strategies are amalgamated with other web/information extraction, abnormality location, factual techniques, and show new approaches in the advancement of mutual transformative frameworks.…”
Section: Comparative Study Of Defense Approaches In Current Scenariomentioning
confidence: 99%
“…Two noteworthy issues have been left out: 1) the capacity to foresee an occasion (an assault) proactively, and 2) enhancing the proactive segment by giving a criticism circle at whatever point the proactive or the responsive segment is finished up. Application Security [27] Self-learning strategies are consolidated with web/information mining, abnormalities identification and statistical methods.…”
Section: Reactive and Proactivementioning
confidence: 99%