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Broadcast Searchable Keywords Encryption (BSKE) is a novel scheme that allows searching in encrypted data without knowing a secret key. Consider Bob wants to encrypt the same data under master public key for a group of users and stores this encrypted data with Alice, Malice is one of those recipients he asks Alice
In keyword search over relational databases (KSORD), retrieval of user's initial query is often unsatisfying. User has to reformulate his query and execute the new query, which costs much time and effort. In this paper, a method of automatically reformulating user queries by relevance feedback is introduced, which is
usability of outsourced data due to the difficulty of searching over the encrypted data. In this paper, we address this issue by developing the fine-grained multi-keyword search schemes over encrypted cloud data. Our original contributions are three-fold. First, we introduce the relevance scores and preference factors upon
databases are termed as Web Databases (WDB). Web databases have been frequently employed to search the products online for retail industry. They can be private to a retailer/concern or publicly used by a number of retailers. Whenever the user queries these databases using keywords, most of the times the user will be deviated
based DNS query request traffic at November 28th, 2011. (2) In the DNS query request packet traffic, we observed only a query keyword of the campus domain name. (3) We found a correlation between the total inbound DNS query request packet traffic and the DNS query request packet traffic including the query keyword. (4
. Finally, the experiments prove that this method can query the keyword of multi-dimensional space more efficiently with the massive data and has a good load balancing performance. And this method can be more effective to avoid the issue of the server cluster hotspot.
the commercial cloud environment, makes effective data utilization. In this paper, define and solve the problem of ranked keyword search over encrypted cloud data. Enhance system usability through enabling search result relevance, instead of sending undifferentiated results and further ensures file retrieval accuracy by
information in a authentication way. Ontology ranked keyword search algorithm utilized to analyze and filter search queries and rank results accordingly. Users search history is stored only locally and search results are provided by the server in partiality to existing search engine history information. The search history
Cloud computing has emerged as a new type of commercial paradigm. As a typical cloud service, each file stored in the cloud is described with several keywords. By querying the cloud with certain keywords, a user can retrieve files whose keywords match his query. An organization that has thousands of users querying the
DNS query traffic is mainly dominated by several specific IP addresses as their query keywords. (2) We carried out forensic analysis on the PC room terminals in which IP addresses are found in the several specific keywords and it is concluded that the PCs become spam bots when inserting USB based key disk storage.
for each CP/ST process so that not only the execut n time of each process but also the power consumption of servers can be reduced. We show the evaluation of the EA algorithm in terms of the total power consumption and average execution time. Keywords-Power consumption models, Energy-aware (EA) selection algorithm
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.