Titlebook: Smart Technologies in Data Science and Communication; Proceedings of SMART Kingsley A. Ogudo,Sanjoy Kumar Saha,Debnath Bhatta Conference pr

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Varaha Sai Adireddi,Charan Naga Santhu Jagadeesh Boddeda,Devi Shanthisree Kumpatla,Chris Daniel Mant.

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Debdatta Bhattacharya,N. Thirupathi Rao,K. Asish Vardhan,Eali Stephen Neal Joshua.

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Smart Technologies in Data Science and CommunicationProceedings of SMART

Ancestor

A Graph-Based Model for Discovering Host-Based Hook Attacks,on in Windows platform. As graph model can be effectively applied to replica complicated relation between entities, we opt it to visualize malicious rootkit behavior activities by monitoring system API calls. This will help the defender to optimally find malicious system calls from benign calls. Our

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E-Health Care Patient Information Retrieval and Monitoring System Using SVM, provides guidance for giving first aid. To collect these vital information, we need some sensors. These sensors sense various body parameters such as the blood pressure, temperature (body heat), heart rate, and sugar level. In addition, our system also analyzes the comma patient movement with the h

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Web Design as an Important Factor in the Success of a Website,dards from the beginning of the design phase is far less expensive than integrating them later (Maria Claudia Buzzi, Marina Buzzi, Barbara Leporini. Chap. 4 Accessibility and usability of web content and applications, IGI Global, 2010). In the long term, making things more accessible and inclusive i

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A Novel Approach for Health Analysis Using Machine Learning Approaches,e diabetes mellitus in the early detection of extrapolative studies. Different results algorithms display the random forest as well as the decision tree algorithm with the greatest distinguishability of 97.20 and 97.30%. Discreetly, diabetics perform best inspection of information. Information. Naiv