Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

&nbsp;

&nbsp;

VIT University

The rapid growth of Internet technologies and availability of web tools created an opportunity to develop a robust and user-friendly web service model for medical care, and it demands urgent solutions as the uncertainty of disease spread threaten humanity. With changing Quality of Service principles, many existing web services need to offer specific medical services that suit practical needs. The provision of an effective service selection and recommendation features that best meet the user's requirements will be able to improve the quality of web service model. The Quality of Service metrics should be calculated and analyzed before optimizing a recommendation technique. Evaluation therefore forms an important part of the process for designing and implementing recommendation systems. Further, predicting Quality of Service indicators accurately from historical background dataset under complex scenarios and combination of conditions is useful. In this perspective, lots of web service methods are studied, and this paper presents our comprehensive analysis mainly focusing on the development of better web service based framework for medical applications. © 2021. All Rights Reserved.

World University root node

Computer Science

School of Computer Science and Engineering

Chennai Campus

Fulltext

Webology

Developing a Robust and Flexible Web Service Framework for Medical Care

Rumour is a vital problem for modern techniques of communication. A piece of unauthenticated information travels around the social network creating chaos. In this study, based upon an integrated window prototype model network, N number of nodes are generated. In the study first, the time-varying networks are reduced to a series of static networks by introducing a time-integrating window. Second, instead of inspecting every individual, a reverse dissemination traversal algorithm is used to specify a set of suspects in the source. Third, to determine the real source from the suspects, a novel microscopic rumour spreading model is used to calculate the data counts for each suspect. The one who gets the largest count estimate is considered as to the real source. The proposed work develops a built-in dataset other than the cases, if a user sends existing information in the network it will not allow it to pass on and the fault information creator will block in the network and won't be allowed to send more information. Thus, the approaches help in building reliability in the system. © 2020 IEEE.

Proceedings of the 2nd International Conference on Inventive Research in Computing Applications, ICIRCA 2020

Rumour Source Identification in Static Network

Web service (WS) interactions correspond to states, and they can be modeled based on the type of interactions between the service consumer and the provider. Models like UML, OWL have been designed in the past but not all of them focus on state-based interaction among the requester and the provider. In this paper, we develop a framework that understands interactions between the requester and provider and learns behaviors using FSA. We first propose a model called the state machine representation model for analyzing the behavior of WSs and also supports for modeling the job fair service for identifying the appropriate services for the consumer. Next, we propose an implementation work which gives us the run time behavior of the Job Search Engine (JSE) in network and cloud environment. Finally, we conclude this paper by interpreting and analyzing the performance of the JSE with respect to the standard parameters such as access time for invoked state, discovered state, running state, halt state, disconnected state and show that the model framework designed and developed in this paper works for the JSE. In future the framework can be extended for other applications at the generic set of states analyzed in this paper. © 2019, © 2019 Informa UK Limited, trading as Taylor &amp; Francis Group.

International Journal of Computers and Applications

State behavior analysis in validating the web service framework

Users in web perform different actions. This can start from web page access to a transaction. Web service is a standardized way of communicating information between client and the server. Published services made available on web for the user to access the service. Interaction with web service can be considered at web service users or at web service state level.The type of transaction can be complete or incomplete due to normal actions or abnormal activities. The paper aims at discussing the website and web service user access patterns using Machine Learning considering only web service users. This will allow for further categorizing the users into specific levels. Learning of actions to be understood as anomaly can also be an outcome of the analysis. The dataset for website used for analysis is attributes used in KDDcup 2005 dataset and personalized web user dataset challenge. The dataset used for web service user access is based on the service assessment by several users on cloud. The paper aims at classifying the users based on query. The results are presented for analysis. The analysis can be used to understand behavior of users in organization and institution. The performance parameters analyzed are precision, recall, Accuracy, F1-score. © 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved.

Journal of Advanced Research in Dynamical and Control Systems

Machine learning algorithms for understanding web user access based on query

Web benefit revelation is the essential procedure and conventional technique that uses watchword based pursuit to find suitable web service. This strategy may not produce more good results. However, the non-real Quality of Service (QoS) parameters of the network benefits assumes an essential part of locating the network's benefits. For example, UDDI, WSDL, and SOAP have the ability to provide QoS -based web benefits exposure. Various research works are going on in the field of failure probability but there are also some other aspects which need to be taken care of like response time, throughput and quality of service among others. Hence research in these fields may prove to be more efficient if done in a sophisticated manner. This paper presents the survey conducted on earlier works on the QoS of web services in four different aspects. © IAEME Publication.

International Journal of Mechanical Engineering and Technology

A review on the quality of service of web services

Secure sharing of patient health records in Jelastic cloud provides the more benefits to the data owners and end users. We know that building a specialized data center's is very difficult task and maintenance cost also very high. Sharing the PHR Application in the third party server raises the security and privacy risks. In this paper we introduce ABE highly secure encryption algorithm for providing the security and good privacy policies to the PHR information, which is stored in the cloud server. Not only this, for providing the Scalability, Load balancing and for easy maintenance to the application, we are deploying the Personal health record's application into Jelastic cloud by the use of Servint server. Nginx is the Load balancer to provide the load balance to our PHR application. Jelastic cloud is successfully providing the both Horizontal and Vertical Scaling to our PHR Application. © 2017 IEEE.

VIT Unitversity

2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS)

Secure sharing of personal health records in Jelastic cloud by attribute based encryption

International Journal of Information Engineering and Electronic Business

Assessing the Behaviour of Web Services using Finite States

Cloud computing has become an enormous name in gift era. It's tested to be an excellent resolution for storing and process quantity of knowledge. It provides demand, scalable, pay-as-you go calculate and storage capability. Data processing techniques enforced with cloud computing paradigm square measure terribly helpful to research massive information on clouds. In our thesis we've got used association rule mining as an information mining technique. Especially we've got used Apriori formula for association rule mining. It's been as certained that the first Apriori formula was designed for successive computation thus directly mistreatment it for parallel computation doesn‘t look an honestplan. Thus, we've got improved the Apriori formula (FP Growth) thus on suit it for parallel computation platform. We've got used CloudSim machine for cloud computing.Index terms: Knowledge Discovery Databases(KDD),Radio Frequency Identification(RFI)