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Kakali Chatterjee

Researcher at National Institute of Technology, Patna

Publications -  82
Citations -  1044

Kakali Chatterjee is an academic researcher from National Institute of Technology, Patna. The author has contributed to research in topics: Computer science & Authentication. The author has an hindex of 11, co-authored 63 publications receiving 676 citations. Previous affiliations of Kakali Chatterjee include Indian Institute of Technology Kharagpur & Delhi Technological University.

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Cloud security issues and challenges

TL;DR: The basic features of the cloud computing, security issues, threats and their solutions are discussed, and several key topics related to the cloud, namely cloud architecture framework, service and deployment model, cloud technologies, cloud security concepts, threats, and attacks are described.
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Negative and Positive Transcriptional Regulation by Thyroid Hormone Receptor Isoforms

TL;DR: Assessment of the functional properties of different members of the thyroid receptor family with regard to both positive and negative transcriptional regulation concluded that thyroid hormone receptor isoforms that bind T3 (alpha 1, beta) are functional, whereas the alpha 2 isoform, which does not binds T3, is not functional.
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Development of thermoplastic elastomers based on maleated ethylene propylene rubber (m-EPM) and polypropylene (PP) by dynamic vulcanization

TL;DR: Dicumyl peroxide (DCP)-cured thermoplastic vulcanizates (TPVs) based on blends of maleated ethylene propylene rubber (m-EPM) and polypropylene (PP) using maleated-PP as a compatibilizer have been developed.
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Study on characterization and properties of nanosilica-filled thermoplastic vulcanizates

TL;DR: In this article, Dicumyl peroxide-cured thermoplastic vulcanizates (TPVs) based on blends of maleated ethylene propylene rubber (m-EPM) and polypropylene (PP) using maleated-PP as a compatibilizer were developed.
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An improved privacy preservation technique in health-cloud

TL;DR: A hybrid technique which includes two different inference control techniques, query set size restriction and k-anonymity to ensure individuals’ privacy is proposed and a rule set to increase the privacy of healthcare data is generated.