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Dr Bikasih Thapa & Dr Maheswar Prasad (Nepal) - Hideo Wada MD PhD (japan) - Dr a Lavra Castrocatesana (Mexico) - Dr Mrs N.M. Hettiarachechui (Srilanka) - Dr Jorge Aldrete Velasco (Mexico) - Prof Hans Peter Kohler (Switzerland) - Dr Hermanus Suhartono S Sp.OG(K) PhD - Dr Isabel Pinheiro (Portugal) - Dr Suranga (Srilanka) - Jovia Dino Jansen Amsterdam,Holand - Hideo Wada MD PhD University Graduate School of Medicine Departement of Moleculer and Laboratory Medicine Japan - DR Bikash Thapa Internal Medicine Nepal University - DR Maheswar Prasad Internal Medicine Nepal University - Dr a Lavra Castro Castresana Colegio de Medicina interna de Mexico - Dr Suransa Manilgama University of Srilanka Internal Departement Medicine - Dr Mrs N.M. Hettiarachechui University of Medicine Srilanka - Dr Jorge Aldrete Velaso .Colegio de Medicina Interna de Mexico - Prof Hans Peter Kholer M.D FACD Profesor of Medicine University ot Switzerland - Dr Ramezan Ali Atace . Baqiyatallah University of Medical Sciences Departement of Micrology Tehran Iran - Ezekiel Wong Toh Yoon Dr. Gastroenterology of Japan - D Eric Beck,MD Bethesda Hospital Capitol Boelevard St Paul USA - Dr Emine Guderen Sahin Istambul University of Internal Medicine Turky - Dr Selmin Toplan Istambul University - Dr Nicholas New Australia - Dr Kughan Govinden. Tropical Infection of Internal Medicine Malaysia - Dr Godfrey M Rwegerera Princes Marina Hospital Bostwana -

Title : SPS FOR INTELLIGENT PROCESSING OF ENCRYPTED DATA IN CLOUD

Author : K VISWANATH, VIJAYA BHASKAR MADGULA, D SNEHA

Abstract :

Intelligent medical data analytics is only one of several cloudbased IoT machine learning applications that rely on phrase search to retrieve documents that include an exact term. Data owners often encrypt documents (such as medical records) before outsourcing them to the cloud to prevent the leakage of sensitive information. On the other hand, this makes the search operation a very difficult process. Smart encrypted data processing in the cloud is the focus of this article, where we provide P3, a privacy-preserving phrase search strategy that is both efficient and effective. We find the geographical association of numerous requested keywords over encrypted data by using the homomorphic encryption and bilinear map in our technique. In addition, it safeguards users' search habits by use of a probabilistic trapdoor creation method. A comprehensive evaluation of P3's security features reveals the benefits of these enhancements. We put a prototype into action and do compreh

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Dr. Arend L Mapanawang, Sp.PD, FINASIM, PhD

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