Biblio

Information and security are interdependent elements. Information security has evolved to be a matter of global interest and to achieve this; it requires tools, policies and assurance of technologies against any relevant security risks. Internet influx while providing a flexible means of sharing the online information economically has rapidly attracted countless writers. Text being an important constituent of online information sharing, creates a huge demand of intellectual copyright protection of text and web itself. Various visible watermarking techniques have been studied for text documents but few for web-based text. In this paper, web page watermarking and cryptography for online content copyrights protection is proposed utilizing the semantic and syntactic rules using HTML (Hypertext Markup Language) and is tested for English and Arabic languages.

This paper present an approach to automate the conversion of Natural Language Query to SQL Query effectively. Structured Query Language is a powerful tool for managing data held in a relational database management system. To retrieve or manage data user have to enter the correct SQL Query. But the users who don't have any knowledge about SQL are unable to retrieve the required data. To overcome this we proposed a model in Natural Language Processing for converting the Natural Language Query to SQL query. This helps novice user to get required content without knowing any complex details about SQL. This system can also deal with complex queries. This system is designed for Training and Placement cell officers who work on student database but don't have any knowledge about SQL. In this system, user can also enter the query using speech. System will convert speech into the text format. This query will get transformed to SQL query. System will execute the query and gives output to the user.