Department of Computer systems Engineering-Scopes

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/2178

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Subject: search.filters.subject.Blockchain

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    PublicationOpen Access
    “iSAY”: Blockchain-based Intelligent Polling System for Legislative Assistance
    (2021-01) Wattegama, D; Silva, P. S; Elapatha, K; Yapa Abeywardena, K; Kuruwitaarachchi, N; Jayathilake, C. R
    “iSAY”' is a Blockchain-based polling system created for legislative assistance. Sri Lanka is a democratic country. Country follows a representative democracy and voters in Sri Lanka vote for their preferred government based on their election mandate. However, governments implement legislative decisions that are not stated in the election mandate. People won’t get a chance to state their opinion on this legislative matter and the government also doesn’t know whether people like this or not.  To solve this issue, in this paper the authors propose a blockchain-based intelligent polling application for legislative assistance.  “iSay” is an application where blockchain technology gets together with machine learning to add value into the public opinion. The government can create a poll about a legislative decision and people can state their opinion which could be further discussed in the legislature. Adding a significant change to the blockchain based e-voting solutions this paper proposes a novel feature where users can add their idea to a relevant poll. Using machine learning algorithms all these user ideas will be classified and analyzed before presenting to the government. Through this research, it is expected to deploy scalable elections among the general public and get their vote and ideas about specific legislations to generate an overview of general public opinion about legislative decisions.
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    PublicationEmbargo
    Credit Card Fraud Prevention Using Blockchain
    (IEEE, 2021-04-02) Balagolla, E. M. S. W; Fernando, W. P. C; Rathnayake, R. M. N. S; Wijesekera, M. J. M. R. P; Senarathne, A. N; Abeywardhana, K. Y
    With the advancement of online payments in various products and services, the likelihood of credit card fraud has risen compared to the decades-long history of credit cards. When blockchain systems' immutability meets smart contracts, third-party removal and decentralization could be met as a high level of security. Proposed blockchain with fraud detection technology will assist to mitigate fraudulent credit card transactions due to its intermediate parties. Authors propose a solution (B-Box.com) where credit card transactions are modeled on a blockchain so that the credit card processing can be decentralized and verifiable with an accredited set of computing nodes. This solution reduces fraud due to ambiguous contracts with the use of a smart contract between the bank and the customer. Also, this project includes a scaling mechanism to blockchain because the current projects have a lack of scalability. Moreover, the solution introduces a proactive anomaly detection to detect fraudulent credit card transactions, in which the system will resist frauds before the fraudulent transaction enters the blockchain. So the proposed solution will make transparency between the banks and the end-users and at the same time prevents frauds before it happens which helps the banks to save millions in otherwise lost due to fraud.
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    PublicationEmbargo
    A New Approach for Consumer Protection with Business Intelligence and Data Visualization
    (2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Kariyawasam, K.S.T.U.S.; Liyanaarachchi, L.A.A.S.; Chathurabhani, H.M.N.N.; Jayakody, A.; Attanayaka, B.
    According to the current market usage in Sri Lanka, there is no proper system to manage the buying and selling process of consumer goods and services. This paper presents a possibility of developing a systematic and essential food items management system using a mobile application with public and private interventions benefiting both the trade and the consumer is being explored. The authors discussed a methodology for managing essential food items through business intelligence and data visualization. It connects the trade and consumer sectors and the public and responsible private sectors related to this sector through a mobile application and presents data related to this sector through business intelligence forecasting and visualization methods. This research will also help reduce consumer problems by building transparency in the essential foodstuff sector. It will also systematically update the future of the essential food and beverage industry. The findings contribute to the body of knowledge on the New Approach for Consumer Protection with Business Intelligence and Data Visualization.