Browsing by Author "Jayasinghe, R"

Now showing 1 - 2 of 2

Open Access
Automated Phishing Detection: A Noval Machine Learning Approach
(SLIIT, 2024-12) Jayasinghe, R
This research contributes a novel machine learning-based approach to cybersecurity, enhancing defenses against phishing and protecting users from emerging online threats. Phishing is an increasingly pervasive cybersecurity threat that exploits user trust by creating fraudulent websites that imitate legitimate ones to steal sensitive information, such as usernames, passwords, and financial details. These deceptive sites use visual and linguistic elements from authentic brands, making them difficult to distinguish from trusted sources and increasing the likelihood of successful attacks. As phishing tactics evolve alongside technological advancements, there is a critical need for robust, adaptive anti-phishing solutions. This research investigates the application of machine learning to enhance phishing detection, focusing on a model that uses the Gradient Boosting Classifier to identify phishing websites based on key URL features. This approach involves extracting unique characteristics that differentiate phishing URLs from genuine ones, enabling real-time classification and improved detection accuracy. The proposed method systematically analyzes URL features, comparing and contrasting aspects such as domain structure, syntax, and use of brand elements to accurately identify malicious sites. The model achieved 97.6% accuracy, demonstrating high classification correctness. With a precision of 96.5%, it effectively minimizes false positives, reducing legitimate URL misclassifications. A recall of 98.1% highlights its sensitivity in identifying phishing URLs, and an F1 score of 97.3% balances precision and recall, underscoring its reliability. These results validate the Gradient Boosting Classifier as an effective, adaptable tool against advanced phishing tactics.
Open Access
Challenging Arbitral Awards in the Construction Industry
(SLIIT, 2022-02-11) Jayasinghe, R; Dahanayake, R; Edirisinghe, V
One of the most common alternative dispute resolution methods used in the Sri Lankan construction industry is arbitration. However, challenging arbitration awards based on legal grounds at the courts has been a current trend by the disagreeing party. If this situation occurs continuously, the purpose of having arbitration as an alternative dispute resolution method can be abandoned. Therefore, the study aims to identify the causes where arbitration is challenged in multi-story building construction projects in Sri Lanka through a case study. The methodological choice was qualitative and used semistructured interviews from six arbitrators and 2 case studies that referred to courts to challenge arbitration awards as research strategies. The study found the poor attitude of parties, lack of technical knowledge, reliability, and capability of the arbitrator to act according to the arbitrary acts imposed by the government as the main causes. Further. The study recommends arbitrators consider the reasons to act well enough and reject the cases if the arbitration is likely to be challenged in courts, train arbitrators to be reliable and on technical knowledge, and improve parties' attitudes by educating on the arbitration procedure and its benefits.