Concurrent executions of a zero-knowledge protocol by a single prover (with one or more verifiers) may leak information and may not be zero-knowledge in toto. In this article, we study the problem of maintaining zero-knowledge.We introduce the notion of an (α, β) timing constraint: for any two processors P1 and P2, if P1 measures α elapsed time on its local clock and P2 measures β elapsed time on its local clock, and P2 starts afterP1 does, then P2 will finish after P1 does. We show that if the adversary is constrained by an (α, β) assumption then there exist four-round almost concurrent zero-knowledge interactive proofs and perfect concurrent zero-knowledge arguments for every language in NP. We also address the more specific problem of Deniable Authentication, for which we propose several particularly efficient solutions. Deniable Authentication is of independent interest, even in the sequential case; our concurrent solutions yield sequential solutions without recourse to timing, that is, in the standard model.

Concurrent Zero-Knowledge.

DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model

Demand side management through load shifting in IoT based HEMS: Overview, challenges and opportunities

Normally Users are not aware about all the treatment or symptoms regarding the particular disease. For small problem user have to go personally to the hospital for check-up which is more time consuming. Also handling the telephonic calls for the complaints is quite hectic. Such a problem can be solved by using medical ChatBot by giving proper guidance regarding healthy living. The medical chat-bots functioning depends on Natural language processing that helps users to submit their problem about the health. The User can ask any personal query related to health care through the chat-Bot without physically available to the hospital. By Using Google API for voice-text and textvoice conversion. Query is sent to ChatBot and gets related answer and display answer on android app. The System’s major concern behind developing this web based platform is analysing customer’s sentiments. KeywordsMedical Chatbot Natural Language Processing, Porter Stemmer Algorithm, Word Order Similarity Between Sentences .

A Medical ChatBot

Conversational agents in business: A systematic literature review and future research directions

It's being very important to listen to social media streams whether it's Twitter, Facebook, Messenger, LinkedIn, email or even company own application. As many customers may be using this streams to reach out to company because they need help. The company have setup social marketing team to monitor this stream. But due to huge volumes of users it's very difficult to analyses each and every social message and take a relevant action to solve users grievances, which lead to many unsatisfied customers or may even lose a customer. This papers proposes a system architecture which will try to overcome the above shortcoming by analyzing messages of each ejabberd users to check whether it's actionable or not. If it's actionable then an automated Chatbot will initiates conversation with that user and help the user to resolve the issue by providing a human way interactions using LUIS and cognitive services. To provide a highly robust, scalable and extensible architecture, this system is implemented on AWS public cloud.

Real world smart chatbot for customer care using a software as a service (SaaS) architecture

The use of QR code-based technologies and systems has become a current trend in recent years where QR codes are acknowledged to be a practical and interesting data representation and processing mechanism amongst worldwide users. Our aim is to design and implement a two-factor identification authentication system with the use of QR codes and to make the relevant mechanism and process that could be more convenient for the user to use and practical than one time password (OTP) mechanisms used with similar intentions today. One time password (OTP) mechanisms are vulnerable since they can be compromised using man-in-the-middle attack, phishing, spoofing, etc. This system provides another level of security where QR code acts as the first factor and the android mobile acts as the second factor.

Two factor verification using QR-code: A unique authentication system for Android smartphone users

Trust-based Voting Method for Efficient Malware Detection

Energy crisis is one of the prime challenges being faced by many of the countries in the world today. Industrial development and population growth has tremendously increased the demand for energy to a huge extent. Many researchers and developers have come up with effective systems so as deal with this problem. A lot of techniques have been suggested such as an Energy monitoring system which is an efficient technique to monitor the devices present inside a house or industries and provide notification about their abnormal behavior. Main aim of this project is to design a SmartPlug: energy monitoring and control system which can control the devices, show power consumed by the devices and calculate electricity bills based on the total energy usage depending upon different vendors available. Our system includes a Raspberry pi, Arduino board and sensors which will be connected to each and every device. We have developed a website so that the user can just login and have information about the energy consumption by all the devices. A graphical representation of the power consumed by the devices will make the user aware if power consumed by any device exceeds a certain level. This system can reduce the electricity bills to a large extent and will prove beneficial for the users as well. It is not restricted to limited devices and thus can also be used in industries by using more Raspberry pi micro-controllers.

Automated IOT based system for home automation and prediction of electricity usage and comparative analysis of various electricity providers: SmartPlug

Owing to enlarged digital data obtainability and artificial intelligence (AI) progressions, there are quite a few occasions that can be reconnoitered in healthcare. Deep learning (DL) and inductive transfer practices are turning healthcare data— such as phantasmagorias and videotapes—into powerful data sources for predictive analytics. At the present time, patients fail to have entree to his/her individual medicinal records and hang around ignorant of data importance or prominence. This paper directs to offer a gestalt of AI and blockchain and exhibit a roadmap for a blockchain-assisted decentralized bionetwork of private healthcare data to expediate new methodologies to drug discovery and precautionary healthcare. A protected and crystal-clear disseminated marketplace of personal data by means of blockchain and DL technology will circumvent challenges faced by authorities of a given healthcare system and restore custody all across private records that includes medicinal documents back to humans. It also proposes a novel type of utility cryptotoken named LifeCoin, which can be produced through the stationing of data on the blockchain-assisted open market to streamline transactions and expedite inventive reward schemes.

Shraddha S. More

Papers

Real world smart chatbot for customer care using a software as a service (SaaS) architecture

Two factor verification using QR-code: A unique authentication system for Android smartphone users

Trust-based Voting Method for Efficient Malware Detection

Automated IOT based system for home automation and prediction of electricity usage and comparative analysis of various electricity providers: SmartPlug

Convergence of Blockchain and Artificial Intelligence to Decentralize Healthcare Systems