كالبانا سرينيفاس

1) DATA INTEGRITY AUDITING WITHOUT PRIVATE KEY STORAGE AND DESIGN A NEW SIGNATURE SCHEME: A user needs to employ his private key to generate the data authenticators for realizing the data integrity auditing. Thus, the user has to possess a hardware token (e.g. USB token, smart card) to store his private key and memorize a password to activate this private key. If this hardware token is lost or this password is forgotten, most of the current data integrity auditing schemes would be unable to work. In order to overcome this problem, we propose a new paradigm called data integrity auditing without private key storage and design such a scheme. In this scheme, we use biometric data (e.g. iris scan, fingerprint) as the user’s fuzzy private key to avoid using the hardware token. Meanwhile, the scheme can still effectively complete the data integrity auditing. We utilize a linear sketch with coding and error correction processes to confirm the identity of the user. In addition, we design a new signature scheme which not only supports block less verifiability, but also is compatible with the linear sketch. The security proof and the performance analysis show that our proposed scheme achieves desirable security and efficiency. 2)CHATBOT APPLICATION USING DEEP LEARNING ALGORITHM: This is an automated chat robot design to answer users frequently asked questions, earlier natural language processing techniques were using to design this robots but its accuracy of giving correct answer was less and now due to Deep Learning algorithms accuracy of giving correct answer increase, so here using python deep learning project we are building CHATBOT application to answer users questions. To implement this technique first we train deep learning models with the train data (all possible question’s answers) and whenever users give any question then application will apply this test question on train model to predict exact answer for given question. Earlier companies were hiring humans to answer user’s queries but by using this application we can answer user’s question without using any man power. Chabot can be described as software that can chat with people using artificial intelligence. Chabot’s are generally used to respond quickly to users. Chabot’s, a common name for automated conversational interfaces, present a new way for individuals to interact with computer systems. Traditionally, to get a question answered by a software program involves using a search engine, or filling out a form. A Chabot allows a user to simply ask questions in the same manner that they would address a human. There are many well-known voice- based catboats currently available in the market: Google Assistant, Alexa and Siri. Chabot’s are currently being adopted at a high rate on computer chat platforms. To implement this project we are using python deep learning neural networks and NLTK (natural Language Processing API) to process train and test text data.