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Full-Text Articles in Computer Engineering
Gsu Alumni Portal, Vemuri Vinusha Chowdary, Sairam Dasu, Siva Machineni
Gsu Alumni Portal, Vemuri Vinusha Chowdary, Sairam Dasu, Siva Machineni
All Capstone Projects
The main objective of GSU alumni portal web application is to allow old and new students of a university to communicate with each other. The application allows students to register and then search the data based on different criteria. Also it has the benefit of having a centralized database and up to date information. A user can easily obtain information about other registered users. This application is deployed using Cloud computing (Microsoft Azure) and nothing is managed locally. The administrator is responsible for maintaining information of students. When a student submits the registration form, administrator will complete the verification process …
Employee Hr Connect Portal, Aparna Allusivala, Sindhura Reddy Mandadi, Sri Vidya Rani Mudunuri
Employee Hr Connect Portal, Aparna Allusivala, Sindhura Reddy Mandadi, Sri Vidya Rani Mudunuri
All Capstone Projects
Employee HR Connect Portal is essential in order to track employee time, project time. This portal can be hosted on any java based web server or application server and will be accessible via web-browsers. This portal is very user- friendly. Employee HR Connect Portal will be a useful tool to identify supply and demand of human resources. We have three main modules to maintain records of employee, department and project. Employee HR Connect Portal is very helpful for auditing. Through this portal we can judge the potentiality of the employee.
Real-Time Detection System For Suspicious Urls, Krishna Prasad Chouty, Anup Chandra Thogiti, Kranthi Sudha Vudatha
Real-Time Detection System For Suspicious Urls, Krishna Prasad Chouty, Anup Chandra Thogiti, Kranthi Sudha Vudatha
All Capstone Projects
Twitter is prone to malicious tweets containing URLs for spam, phishing, and malware distribution. Conventional Twitter spam detection schemes utilize account features such as the ratio of tweets containing URLs and the account creation date, or relation features in the Twitter graph. These detection schemes are ineffective against feature fabrications or consume much time and resources. Conventional suspicious URL detection schemes utilize several features including lexical features of URLs, URL redirection, HTML content, and dynamic behavior. However, evading techniques such as time-based evasion and crawler evasion exist. In this paper, we propose WARNINGBIRD, a suspicious Real-Time URL detection system for …