Browsing by Author "Edirisinghe, E. A. T. D"

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Embargo
Ads-In Site: Location based advertising framework with social network analyzer
(IEEE, 2014-12-10) Perera, A. A. G. A. K; Jayarathne, R. P. E. T; Thilantha, B. Y; Kalupahana, S. I. G; Haddela, P. S; Kirupananda, A; Edirisinghe, E. A. T. D
Social networks contain a vast amount of data that holds very valuable information and is nowadays identified as a very effective source in marketing. The content of social networks can be used to identify the business needs and preferences of people. This research is carried out with the aim of providing suitable advertisements for people based on their preferences by analysing their social network content. Users' demographic details are also considered in providing suitable advertisements of the shops that are most conveniently located for a particular user. The primary goal of this research is to build an advertisement framework that supports targeted advertising by analysing social network content. The information extracted by analysing the content of social networks is used to predict the advertisement categories that interest a particular user. The framework applies location based services to filter advertisements based on the location of the shop.
Embargo
Open source SOA based middleware framework for classified based web development
(IEEE, 2017-09-14) Kulathunga, K. S. D. A; Radith, W. M. N; Kumari, B. R. K. S; Liyanaarachchi, I. H; Edirisinghe, E. A. T. D; Kodagoda, N; Gamagedara Arachchilage, N. A
Online Classified Advertising has been dominating the advertising industry over traditional newspaper advertising since the emergence of web technologies. The rapid growth of mobile technologies and the massive usage of mobile devices has further increased the boundaries of web content advertising over the years. The adoption of online web technologies for advertising has improved the credibility of the advertisers and also improved the speed of transactions, where the traditional way had the interested buyer having to go through dozens of magazine advertisements before making a sound decision on his / her purchase order. This rapid growth in the classified industry has made many companies seek to gain a share in this ever-growing market, which has led to the popping up of a number of new classified websites every year. This has also brought up a huge competition between existing classified websites and newly emerging ones, forcing the organizations to update their web functionalities or even expand to new emerging technologies before the competitive rivals do. The time taken for adapting to the competition has directly affected these web based advertising businesses. Web Developers creating these web contents have been able not only to make changes to their existing websites, but also to adapt to new technologies that are continuously and inevitably changing. This raise in the learning curve for the developers has a direct effect on the time taken to bring the application or changes into the domain. This research project proposes a Middleware Framework that focuses on reducing the learning curve the developer has to face when developing classified based web applications. It will support the developers by having a developer friendly API that would reduce the learning curve of the developer for efficiently building classified based websites with core functionalities. This Framework supports many of the latest technologies needed to build a classified website from the scratch. It also facilitates the developers to integrate new technologies extending the framework, requiring only minor changes. This will highly reduce the development time of classified based web sites which will also directly reduce the cost of bringing the application to market. This will also advance their chances to sustainability in a market where the time to adapt to technological changes has been a factor of survival in internet businesses.
Embargo
Security testing as a service with docker containerization
(IEEE, 2017-12-06) Pathirathna, P. P. W; Ayesha, V. A. I; Imihira, W. A. T; Wasala, W. M. J. C; Kodagoda, N; Edirisinghe, E. A. T. D
Nowadays web applications are used widely in day to day life. These web applications needs to be secured from vulnerabilities. In order to test how much a web application is secured, testers use various web vulnerability scanners [1]. But in order to run scans as expected, these tools need to be properly configured and also consume lots of resources. This paper explains how developers can test the security of their web applications properly using a provided automated security testing service. This system is capable of running a dynamic security scan with Zed Attack Proxy tool, running a static code analysis security scan with FindSecBugs plugin and do a dependency check with Open Web Application Security Project (OWASP) dependency check tool through docker containerization. End user needs to provide their source code, the database dump and Uniform Resource Locators (URLs)/credentials for any login pages of their web application to the system. Then the system will run the scans and provide security reports without false positives by freeing end user from all the burden of manual security testing.