Girish Sundaram

Pinaki Mitra, Rinku Das, Girish Sundaram

User credentials security is one of the most important tasks in Web World. Most Web sites on the Internet that support user accounts store the users credentials in a database. Now a days, most of the web browsers offer auto login feature for the favorite web sites such as yahoo, google, gmail etc. using these credential information. This facilitates the misuse of user credentials. Privatizing user credential information of web services in a shared user environment provides a feature enhancement where the root user will be able to privatize his stored credentials by enforcing some masking techniques such that even a user logs on to the system with root user credentials, he will not be able to access privatized data. In case of web browsers auto login feature, a root user can disable the feature manually by deleting entries from web browsers' saved password list. But this involves spending a considerable amount of time and the biggest problem is that he has to insert those credentials once again when he next visits these websites. This application resumes auto login feature whenever root user disable the masked mode. The application includes two parts: Masked Application Mode and Disabling the Masked Application Mode. When the system goes for masked application mode, the other user will not be able to use the credentials of the root user.If the other user tries to access any of the web pages which have been masked, the other user will have to authenticate with his own credentials. Disabling the masked mode requires authentication from the root user. As long as this credential is not shared, masked mode can be disabled only by the root user.

Sachin Kumar, Ashish Kumar, Pinaki Mitra et al.

This paper concerns with the conversion of a Spoken English Language Query into SQL for retrieving data from RDBMS. A User submits a query as speech signal through the user interface and gets the result of the query in the text format. We have developed the acoustic and language models using which a speech utterance can be converted into English text query and thus natural language processing techniques can be applied on this English text query to generate an equivalent SQL query. For conversion of speech into English text HTK and Julius tools have been used and for conversion of English text query into SQL query we have implemented a System which uses rule based translation to translate English Language Query into SQL Query. The translation uses lexical analyzer, parser and syntax directed translation techniques like in compilers. JFLex and BYACC tools have been used to build lexical analyzer and parser respectively. System is domain independent i.e. system can run on different database as it generates lex files from the underlying database.