Abstract
In the last decade, major complications of big-data-to-IoT are data-management, security and time-management and thus the objective of the research is recognising with the problems in big data to extend IoT. In order to accord with the data-management problem an ontology-based matching using H matching algorithm is implemented subsequent to pillar k-means clustering algorithm that segregates meaningful and meaningless information. The time management problem is recognised with the aid of Hadoop with MapReduce that specifies the location hitherto. Consequently, triple DES algorithm with WPA is utilised and that is accountable for providing security by the usage of three keys for both the encryption-decryption. On the other hand, WPA is employed to the data integrity to substantiate whether the data is altered. We have applied ontology based on H-matching algorithm proposed in the sequence of steps: the stop word removal, stemming process, grouping process and the ontology making for matching. We have proposed the methodology to handle three parameters: confidentiality, integrity and authenticity in the context of big-data.
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