The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
With massive networks emerging with labels or textual contents on the nodes, keyword search on graphs has been used in a wide range of real-life applications in recent years. For achieving great cost savings, data owners are motivated to outsource their services on graphs to the cloud. However, directly outsourcing
different keys. We achieved the scheme using multikey fully homomorphic encryption (MFHE) which is capable of operating on inputs encrypted under multiple, unrelated keys. Based on this, we extended the scheme to multiple keyword searching.
convoluted. The need of the hour is to provide anefficient method for data storage and search over protected dataat remote provider without compromising with security. Inkeyword based search, each data item is associated with a set ofkeywords over which the search is performed. For a search, usersupplies keywords to the owner
Searchable encryption is an important research area in cloud computing. However, most existing efficient and reliable ciphertext search schemes are based on keywords or shallow semantic parsing, which are not smart enough to meet with users’ search intention. Therefore, in this paper, we propose a content-aware
searchable encryption scheme. And the model introduces a trusted third authority (TA), which is independent from the honest but curious cloud server. It allows multi-keyword search and informs data integrity verify results on the cipher text and outsourced data to users simultaneously. Finally, we demonstrate that the new
In encrypted search, a server holds an encrypted database of documents but not the keys under which the documents are encrypted. The server answer keyword queries from a client with the list of documents matching the query.
Excel as the unit of encryption and decryption and analyzes the file structure. Then, the model automatically identifies the types of data, verifies the legitimacy of data and filters the keywords which will not be encrypted and decrypted. At last, we invoke special algorithms to encrypt or decrypt the data. The
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.