Faculty of Computing
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Publication Embargo Traffic Monitoring Related Experimental Study for a Software-Defined Network Based Virtualized Security Functions Platform(IEEE, 2021-12-01) Gamage, T. C. T.; Rankothge, W. H.; Gamage, N. D. U.; Jayasinghe, D; Uwanpriya, S. D. L. S.; Amarasinghe, D. A.Cloud computing and virtualization technologies are rapidly evolving with new capabilities being added all the time. Security Functions Virtualization (SFV) is the latest addition to cloud services, where Virtualized Security Functions (VSFs) are offered as services by Cloud Service Providers (CSPs). CSPs are focusing more on implementing effective resource management approaches for the cloud infrastructure, considering specific requirements of VSFs. Network traffic monitoring is one of the most crucial aspects of cloud resource management, as monitoring helps CSPs to have a global view of the resource utilization and take necessary proactive management actions, specifically for VSFs.This experimental study focuses on exploring network traffic and resource monitoring for the traffic traverse via a cloud platform where VSFs are offered as a service. We have considered two approaches: periodic monitoring and continuous monitoring. The network traffic is monitored continuously, and resource utilization is monitored periodically. With the implemented monitored framework, CSPs are able to take proactive decisions on resource management, specially towards scale-out/in decisions and security management.Publication Embargo NetEye: Network Monitoring for a Software Defined Network based Virtualized Network Functions Platform(IEEE, 2021-12-01) Rankothge, W. H; Gamage, N. D. U; Ariyawansa, M. M. T. R; Suhail, S. A. A; Dewwiman, H. G. H.; Senevirathne, M. D. B. PWith the introduction of Virtualized Network Functions Virtualization (VNFs), Cloud Service Providers (CSPs) allocate resources and deploy network functions as virtualized entities in the cloud. With the dynamic changes in the traffic and workload, initially allocated resources have to be increased or decreased to maintain the Service Level Agreement (SLA). Therefore, CSPs rely on network monitoring approaches to maintain an effective and efficient resource management process. However, the monitoring process itself creates an overhead to the performance of the network. Monitoring algorithms consume the CPU and memory resources of the cloud infrastructure during their execution. Therefore, selecting an appropriate monitoring approach is important, especially in a resource-constrained network. In this research, we have explored two monitoring approaches: continuous and periodic, and compared their performances in terms of memory and CPU utilization.Publication Embargo Network Traffic Prediction for a Software Defined Network Based Virtualized Security Functions Platform(IEEE, 2021-12-06) Jayasinghe, D; Rankothge, W. H; Gamage, N. D. U; Gamage, T. C. T; Amarasinghe, D. A. H. M; Uwanpriya, S. D. L. SSoftware-Defined Networking (SDN) has become a popular and widely used approach with Cloud Service Providers (CSPs). With the introduction of Virtualized Security Functions (VSFs), and offering them as a service, CSPs are exploring effective and efficient approaches for resource management in the cloud infrastructure, considering specific requirements of VSFs. Network traffic prediction is an important component of cloud resource management, as prediction helps CSPs to take necessary proactive management actions, specifically for VSFs. This research focuses on introducing an algorithm to predict the network traffic traverse via a cloud platform where VSFs are offered as a service, by using the Auto-Regressive Integrated Moving Average (ARIMA) model. In this paper, the implementation and performance of the traffic prediction algorithm are presented. The results show that the network traffic in cloud environments can be effectively predicted by using the introduced algorithm with an accuracy of 96.49%.Publication Embargo Lighthouse-Smart Virtual Learning Platform(IEEE, 2018-10-02) Abeyrathne, P. K. R. R. I; Sarathchandra, B. R. I. D; Hewavitharana, D. T. R; Perera, L. M. D; Wijesundara, MThis paper presents the design, development and performance evaluation of a new virtual learning platform. The novel features in this platform include real-time transcribing of live lectures conducted in English and the ability to search recorded lectures based on keywords mentioned during the lectures. This is in addition to real-time streaming and archiving of nine channels of information namely; audio, subtitles, video, slide synchronization, code editor, whiteboard, chat, polls and emotion. The system provides a number of novel features to ease the lecturer's workload. These include one touch recording, real-time polling, real-time emotion detection of students, and cloud based lecture editor allowing editing of each of the nine channels. From an operational perspective, the system requires no additional or special hardware other than a laptop, and it uses cloud based streaming and storage, eliminating the need for a dedicated infrastructure.Publication Embargo Augmented Reality Based Platform for Simulation of 3D Models, Generated with a Series of 2D Images, on Real Environment(IEEE, 2014-10-21) Ashinshanie, S. A. D. N. N; Hazari, A; Rupasinghe, H. N; Hettiarchchi, D. P; De Silva, D. IWith the need of an Augmented Reality based platform for simulation of three dimension models, generated with a series of two dimension images, on real environment, the main objective of this project is to build a platform for users to use both these functionalities. This is a mobile application which helps people to decide when they are buying household items, whether that item fits their desired place in the house. Three dimension models can be downloaded using the application and it will be simulated in the real time environment using the concept of Augmented Reality. A desktop application will be implemented for sellers to upload their three dimension models and to generate three dimension models using photographs. With the use of the technology people can make their lives easier, and this is another step the development team has taken to help that cause. Main goal is that with the use of this application people will be able to make their decisions easily when they are going to buy large household items.Publication Embargo Platform Independent Browser Forensic Tool for Advanced Analysis of Artifacts and Case Management(IEEE, 2021-12-09) Dissanayake, D; Rajakaruna, S; Ranasinghe, D; Wijesooriya, A; Jayakody, A; Rajapaksha, S. KA web browser is a major attack vector which cyber-criminals utilize to land in an environment. The evidence related to the malicious browsing activities can be found in the host which gives valuable information related to the case. These digital footprints involve history, cookies, bookmarks, saved credentials and downloads etc. This paper presents a sophisticated tool aiding the conventional manual investigation process from evidence collection to the final v e rdict b y a u tomating h u man dependent functions, resulting a fast and unbiased analysis of browser forensic artifacts. This tool states its unique value over the existing tools by working operating systems independently, collecting all browsing evidence including deleted artifacts and encrypted saved credentials, automatically analysing the reputation of the extracted evidence, integrating evidence collected from different web browsers into a single timeline, and correlating the adjacent distrustful events inside and outside the host. Eventually, this tool calculates a browsing reputation scorecard and creates a profile for the host, condensing the findings g a thered t h roughout the investigation. The paper presents another important methodology to predict the future browsing reputation score based on the past browsing patterns. Furthermore, multiple cases management feature and dashboard provide a concise overview of overall findings to the forensic investigator.Publication Embargo Policies Based Container Migration Using Cross-Cloud Management Platform(IEEE, 2018-12-21) Janarthanan, K; Peramune, P. R. L. C; Ranaweera, A. T; Krishnamohan, T; Rupasinghe, L; Sampath, K. K; Liyanapathirana, COver the last decade, cloud computing has helped in variety of ways to humanity. Mainly in the ways of, achieving Disaster Recovery (DR) and in protecting the end users' data and Anywhere, Any device, Anytime access to the users' data. This research further helps people and organization to overcome common problems related to clouds such as, vendor-lock in and legal regulation. In today's world, more and more organizations are adopting the cloud services mainly because of the reliability and affordability provided by them. However, there are several drawbacks faced by the cloud users and cloud service providers. Apart from the security perspective, the cloud users are facing challenges in control and visibility, lack of standard service interfaces, difficulty in deploying applications across multiple clouds and vendor lock-in. Also, cloud service providers are facing challenges in degradation of the quality of service provided because of the distance between cloud data center and the end user and unexpected interruption of services etc. The above problems can be reduced to a greater extent or mitigated by adopting Multi Cross Cloud Infrastructure. This benefits the cloud users to receive the best quality services to increase their productivity. Hence, the main aim of this research is to build a common platform to manage the cross-cloud environment particularly Microsoft AZURE cloud and Amazon Web Services (AWS) with multiple features such as policies based container migration among the clouds and finding the best virtual machines (VM) across the clouds to deploy new containers. Cross-cloud management platform can be implemented within an organization or Enterprise and is used by the 3rd level support team such as Infrastructure team to provide multiple services (E.g. - Delivering application containers, Migration of containers on request) to end users based on some service level agreements (SLA) with more control and visibility.Publication Embargo Policies based container migration using cross-cloud management platform(IEEE, 2018-12-21) Janarthanan, K; Peramune, P. R. L. C; Ranaweera, A. T; Krishnamohan, T; Rupasinghe, L; Sampath, K. K; Liyanapathirana, COver the last decade, cloud computing has helped in variety of ways to humanity. Mainly in the ways of, achieving Disaster Recovery (DR) and in protecting the end users' data and Anywhere, Any device, Anytime access to the users' data. This research further helps people and organization to overcome common problems related to clouds such as, vendor-lock in and legal regulation. In today's world, more and more organizations are adopting the cloud services mainly because of the reliability and affordability provided by them. However, there are several drawbacks faced by the cloud users and cloud service providers. Apart from the security perspective, the cloud users are facing challenges in control and visibility, lack of standard service interfaces, difficulty in deploying applications across multiple clouds and vendor lock-in. Also, cloud service providers are facing challenges in degradation of the quality of service provided because of the distance between cloud data center and the end user and unexpected interruption of services etc. The above problems can be reduced to a greater extent or mitigated by adopting Multi Cross Cloud Infrastructure. This benefits the cloud users to receive the best quality services to increase their productivity. Hence, the main aim of this research is to build a common platform to manage the cross-cloud environment particularly Microsoft AZURE cloud and Amazon Web Services (AWS) with multiple features such as policies based container migration among the clouds and finding the best virtual machines (VM) across the clouds to deploy new containers. Cross-cloud management platform can be implemented within an organization or Enterprise and is used by the 3rd level support team such as Infrastructure team to provide multiple services (E.g. - Delivering application containers, Migration of containers on request) to end users based on some service level agreements (SLA) with more control and visibility.Publication Embargo VTutor: A Platform for Improving Searchability and Interactivity of Recorded Lectures(IEEE, 2019-12-05) Karunaratna, D; Hettiarachchi, I; Fernando, S; Epa, S; Kodagoda, N; Suriyawansa, KRecorded lectures have gained popularity as a method of delivering lecture content as they give learners a host of distinct advantages such as the ability to follow lectures without time or location constraints and to consume the lectures at their own pace. However, despite such benefits, they have a tendency to be lengthy and tedious to watch. They also prove cumbersome when precise information needs to be extracted from the content. Another drawback is that recorded lecture videos fail to show the connection between the lecture and its support material such as slides and questionnaires. Though many of the existing platforms allow editing lecture videos for more interactivity, the methods employed by these platforms have always been manual, and therefore time intensive. VTutor is a web platform that aims to address these drawbacks by introducing automation into the video enhancement process, eventually combining the lecture material to create an enhanced user experience. Specifically, VTutor allows users to navigate through a lecture video using subtopics, its corresponding slides and code samples. Furthermore, it is equipped with the ability to automatically generate questions by scraping the internet based on provided keywords thus improving the level of engagement that a learner has with the lecture.