Cloud computing frequently introduce as the cloud is the delivery of on the demand computing resources everything from the applications to data centers above an internet on pay for use. The Cloud based applications rundown infrastructure and IT expense, growth accessibility, enable collaboration, and allow organizations more freedom in customizing their products. User or multi user data sharing should be secure and integrity should be derived on cloud. To achieve the data security the methods like IBE (Identity Based Encryption) and ABE (Attribute Based Encryption) are widely used in cloud computing environment. Still, the complication corresponding with IBE (Identity Based Encryption). The Private Key Generator is compromised all messages protected over the whole lifetime of the public-private key couple used by that server are also compromised. This makes the PKG an high-value target to adversaries. To limit the exposure due to an compromised server, the master private-public key couple could be updat with a new independent key couple. Still, this is an found the key-management problem where all the users must have been the most recent the public key for the server. From the recent studies, there are two main research problems for cloud computing security such as security improvement using IBE and efficient ABE withdraw process. The cause of this paper is to present framework to address both this research challenges. In this paper new fusion cloud security method is proposed in order to deliver both efficient withdraw and enhanced security. This fusion approach is combination of two well know security techniques such as IBE and ABE. The ABE method is combined with IBE to achieve the strong security against diverse warning. Adjacent with user identity attributes like country or type of subscription has are used for further process of IBE encryption, decryption and withdraw. Other complication of efficiency identity revocation is further addressed by presenting the outsourcing computation into fusion IBE (F-IBE) way at server dependent settings. The other components and ways of proposed F-IBE are discourse between this paper and evaluated the experiment against existing way.

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Abstract:In existing banking system, the only way to get access to the bank account is through the OTP which is not the secure way. If any unauthorized person stole your mobile and if that person guesses the password from user details then that person will get the access to the bank account easily. In propose system we are going to create and store honeywords in the honeypot, Honeywords are generate from the user details. Because of doing this if any unauthorized person will try to guess the password and if that guess password match with the honeypots words then alert for the legal user will generated and only login fail message will shows to that user. In this project we will use Honeyword Generation algorithm to achieve above goal.

In this paper we are introducing a sign language converter which works as a duplex system as it can convert text to sign language as well as it can do a real time video to text conversion. It is basically a system that can be used by all people who know sign language as well as who are not familiar with it. The main aim of this system is to involve the specially abled people as much as possible to interact with others. Our system uses the basic NLP i.e. the Natural language Processing and algorithms like CNN classifier to make the implementation of this translator. Along with that this system focuses on the Indian Sign Language so that it can be used by our country people. The finger gestures are captured by the camera and using various machine learning algorithms the system will automatically translate the signs to the readable text, similarly in sign to text conversion, based on the data sets and various Machine learning algorithms the text will be converted to sign language.

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