Phd Projects | IEEE Project | IEEE Projects 2020-19 in Trichy & Chennai

[...] Keyword search (KWS) over relational databases has recently received significant attention. Many solutions [...]

[...] Keyword search on semi structured data (e.g., XML) and relational data differs considerably from traditional [...]

[...] goal is to produce routing plans, which can be used to compute results from multiple sources. Keyword search is... [...]

[...] In this paper, we propose LocX (Location to index mapping, a novel approach to achieving user privacy while maintaining full accuracy in location-based social [...]

[...] publishers knowing the relevant set of subscribers, or vice versa. This abstract presents a novel approach to provide … Continue reading [...]

[...] To protect the confidentiality of sensitive data while supporting deduplication, the convergent encryption technique has been proposed to [...]

[...] The concept of privacy-preservation for sensitive data can require the enforcement of privacy policies or the protection against identity disclosure [...]

[...] To protect data privacy and combat unsolicited accesses in the cloud and beyond, sensitive data, e.g., emails, personal health records, photo albums, tax documents, financial transactions, [...]

[...] Keyword search (KWS) over relational databases has recently received significant attention. Many solutions and many prototypes have been [...]

[...] exists between the data’s physical storage and a logical view of the information. Relational databases are... [...]

[...] (DoS) or distributed denial-of-service (DDoS) attack is an attempt to make a machine or network resource unavailable to its intended users. The Internet is vulnerable to bandwidth distributed [...]

[...] A denial of service (DoS) attack is a malicious attempt to make a server or a network resource unavailable to users, usually by temporarily interrupting or suspending the services of a [...]

[...] In this abstract propose a two-time-scale control algorithm aimed at reducing power cost and facilitating a power cost versus delay trade-off in geographically distributed data centers. [...]

[...] distributed data centers are contains a huge number of servers. Our goal then is to minimize power cost by deciding, how to distribute the workload from the front-end servers to the back-end clusters, [...]