Browsing by Author "Pang, Ying Han"
Now showing items 1-6 of 6
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Adoption of IP Truncation in a Privacy-Based Decision Tree Pruning Design: A Case Study in Network Intrusion Detection System
(2022-03)A decision tree is a transparent model where the rules are visible and can represent the logic of classification. However, this structure might allow attackers to infer confidential information if the rules carry some ... -
Adoption of IP truncation in a privacy-based decision tree pruning design: A case study in network intrusion detection system
(2022-03-04)A decision tree is a transparent model where the rules are visible and can represent the logic of classification. However, this structure might allow attackers to infer confidential information if the rules carry some ... -
Benchmarking full version of GureKDDCup, UNSW-NB15, and CIDDS-001 NIDS datasets using rolling-origin resampling
(2021-10)Network intrusion detection system (NIDS) is a system that analyses network traffic to flag malicious traffic or suspicious activities. Several recent NIDS datasets have been published, however, the lack of baseline ... -
A Review of Forest Fire Combating Efforts, Challenges and Future Directions in Peninsular Malaysia, Sabah, and Sarawak
(2022-09-01)The land surface of Malaysia mostly constitutes forest cover. For decades, forest fires have been one of the nation’s most concerning environmental issues. With the advent of machine learning, many studies have been conducted ... -
Toward forecasting future day air pollutant index in Malaysia
(2020-10-14)The association of air pollution and the magnitude of adverse health effects are receiving close attention from the world. The effects of air pollution were found to be most significant for children, elderly, and patients ... -
Trend Analysis of Forest Fire in Pahang, Malaysia from 2001-2021 with Google Earth Engine Platform
(2022-12)Remote sensing imagery is one of the cost-efficient solutions to observe forest fire occurrence in a particular region. With the accessibility of more public remote sensing data, researchers and field experts can exploit ...
