Papers by Priyanka Dahiya
Communications in Computer and Information Science, 2018
With the rising of enormous size in any field be in astronomy, health or education. Storage, anal... more With the rising of enormous size in any field be in astronomy, health or education. Storage, analysis, and processing of big data are not only the big issue but security of these huge data is now big concern in the field of academia and industry. Network intrusion detection systems detect and stop network behaviors that interrupt or threaten network security. Supervised learning methods for intrusion detection are not so effective in detection of attacks of big data. Unsupervised models are mainly used for the detection of events or attributes that occur together. A new parallel K-medoid clustering method and k-nearest neighbor classification techniques are proposed for intrusion detection for huge amount of data. We have used NSL-KDD and UNSW-NB-15 datasets for experimental work. The results are compared with the proposed method. Experiments are performed in Hadoop environment and the performance is evaluated using accuracy, precision and confusion matrix.
Journal of Namibian Studies, 2023
Many women in poor countries now have the opportunity for stable, moderately successful employmen... more Many women in poor countries now have the opportunity for stable, moderately successful employment for the first time thanks to economic globalisation, which may impact their power to negotiate inside their own households and the choices they make for the children. The current research makes advantage of a novel context, a group of women are working in perpetualsalary employment as well as whose earnings do not differ by family background, to predict the likely effect of globalisation on flexibilitydiagonallycommunal strata. The article's main conclusion is that an increase in the relative female paydeteriorates the relativesbonds to the inherited group and the old-style economic system, but only for certain historically disadvantaged castes. Women from these castes are more likely to advocate for change for a variety of reasons, which are detailed in the paper. However, the analysis's overarching conclusion is that women's social status profoundly affects both their motivations and their ability to use money they earn to exert influence within the home. Second, since they have less financial stakes in the existing quo, disadvantaged groups may be more receptive to novel opportunities.
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Papers by Priyanka Dahiya