This paper is published in Volume-4, Issue-2, 2018
Area
Cloud Computing
Author
Kiran Kawale, Ankita Angre, Pranita Shinde, Sumit Sakpal, Kishor Sakure
Org/Univ
Terna Engineering College, Navi Mumbai, Maharashtra, India
Pub. Date
30 March, 2018
Paper ID
V4I2-1485
Publisher
Keywords
Searchable Encryption, Data Sharing, Aggregate Key, Data Owner, Trapdoor.

Citationsacebook

IEEE
Kiran Kawale, Ankita Angre, Pranita Shinde, Sumit Sakpal, Kishor Sakure. Key – Aggregate searchable encryption, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Kiran Kawale, Ankita Angre, Pranita Shinde, Sumit Sakpal, Kishor Sakure (2018). Key – Aggregate searchable encryption. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
Kiran Kawale, Ankita Angre, Pranita Shinde, Sumit Sakpal, Kishor Sakure. "Key – Aggregate searchable encryption." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

The capability of sharing encrypted data with unlike users via public cloud storage may greatly ease security concerns over accidental data leaks in the cloud. Hence there is a need for efficient management of encryption keys. In this group of selected documents need to be shared with any group of different user’s desire by right different encryption keys to be used for different documents. However need of producing a complex number of keys for both processes i.e. encryption and search, and distributed to different users and those users will have to safely store the keys and put forward a complex number of keywords trapdoors to the clouds in order to search for data. However, because of large complexity, this way is unmanageable and almost practically not possible. In this paper, we are proposing the concept of Key- aggregate searchable encryption in which data owner needs to make distribution a single key to a user for having the same complex number of documents, and user needs to put forward a single trapdoor to the cloud for the query the Shared Documents. However, the complexity is reduced in relation to looking for of Documents in a separate part of the cloud.