Rosni Abdullah
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View article: Mitigasi Keamanan Webserver Sistem Informasi Akademik terhadap Serangan Brute Force Menggunakan Penetration Testing
Mitigasi Keamanan Webserver Sistem Informasi Akademik terhadap Serangan Brute Force Menggunakan Penetration Testing Open
Meningkatnya serangan siber dan pencurian data sensitif menjadi isu krusial seiring dengan semakin banyaknya aplikasi berbasis web yang menyimpan informasi pengguna. Salah satu aplikasi web yang banyak mengalami serangan kejahatan adalah s…
View article: Reinforcement Learning-Based Voting for Feature Drift-Aware Intrusion Detection: An Incremental Learning Framework
Reinforcement Learning-Based Voting for Feature Drift-Aware Intrusion Detection: An Incremental Learning Framework Open
In Intrusion Detection Systems (IDS), stream data classification faces significant challenges due to concept drifts and feature evolution, where traditional methods struggle to maintain accuracy over time. One critical challenge is feature…
View article: Oil palm land cover classification using WorldView satellite and machine learning algorithms from QGIS ENMAP-box plugin
Oil palm land cover classification using WorldView satellite and machine learning algorithms from QGIS ENMAP-box plugin Open
Mapping oil palm within a plantation is a crucial task for efficient oil palm management. Using satellite data and machine learning techniques to accurately map land cover classes help in identifying and differentiating between oil palm an…
View article: Corrigendum to “Hybridizing flower pollination algorithm with particle swarm optimization for enhancing the performance of IPv6 intrusion detection system” [Alex. Eng. J. 104 (2024) 504–514]
Corrigendum to “Hybridizing flower pollination algorithm with particle swarm optimization for enhancing the performance of IPv6 intrusion detection system” [Alex. Eng. J. 104 (2024) 504–514] Open
View article: Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems
Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems Open
View article: Hybridizing flower pollination algorithm with particle swarm optimization for enhancing the performance of IPv6 intrusion detection system
Hybridizing flower pollination algorithm with particle swarm optimization for enhancing the performance of IPv6 intrusion detection system Open
Internet Protocol version 6 (IPv6) is the most recent iteration of IP, designed to accommodate hundreds of thousands of devices with unique IP addresses. IPv6 introduces new features, such as the Neighbor Discovery Protocol (NDP) and Addre…
View article: Block-scale Oil Palm Yield Prediction Using Machine Learning Approaches Based on Landsat and MODIS Satellite Data
Block-scale Oil Palm Yield Prediction Using Machine Learning Approaches Based on Landsat and MODIS Satellite Data Open
Due to environmental threats and weather uncertainty concerns, oil palm yield prediction is crucial for sustaining crop production. This can be achieved through machine learning and utilising remotely sensed data to predict crop yield. How…
View article: Mapping Oil Palm Plantations Using WorldView-2 Satellite Imagery and Machine Learning Algorithms
Mapping Oil Palm Plantations Using WorldView-2 Satellite Imagery and Machine Learning Algorithms Open
Currently, remote sensing has been used extensively in the agriculture industry for oil palm monitoring due to their large plantation area. Oil palm monitoring can be done by performing land cover classification using various classificatio…
View article: A Review on the Framework for Identifying High-yielding and Stress-tolerant Oil Palm with Molecular Markers
A Review on the Framework for Identifying High-yielding and Stress-tolerant Oil Palm with Molecular Markers Open
The various molecular markers employed in breeding programs have been identified in the last decade of the 20th century. Molecular marker development has significantly altered genetics. Molecular markers are not only utilised in connecting…
View article: Harmful algal blooms (HAB) open issues: A review of ecological data challenges, factor analysis and prediction approaches using data-driven method
Harmful algal blooms (HAB) open issues: A review of ecological data challenges, factor analysis and prediction approaches using data-driven method Open
Ongoing research on the temporal and spatial distribution of algae ecological data has caused intricacies entailing incomprehensible data, model overfit, and inaccurate algal bloom prediction. Relevant scholars have integrated past histori…
View article: Developing a Supplementary Diagnostic Tool for Breast Cancer Risk Estimation Using Ensemble Transfer Learning
Developing a Supplementary Diagnostic Tool for Breast Cancer Risk Estimation Using Ensemble Transfer Learning Open
Breast cancer is the most prevalent cancer worldwide. Thus, it is necessary to improve the efficiency of the medical workflow of the disease. Therefore, this study aims to develop a supplementary diagnostic tool for radiologists using ense…
View article: Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner
Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner Open
Concept drift (CD) in data streaming scenarios such as networking intrusion detection systems (IDS) refers to the change in the statistical distribution of the data over time. There are five principal variants related to CD: incremental, g…
View article: Developing a Supplementary Diagnostic Tool for Breast Cancer Risk Estimation Using Ensemble Transfer Learning
Developing a Supplementary Diagnostic Tool for Breast Cancer Risk Estimation Using Ensemble Transfer Learning Open
This study utilised an ensemble of pre-trained networks and digital mammograms to develop a supplementary diagnostic tool for radiologists. Digital mammograms and their associated information were collected from the department of radiology…
View article: Modified Flower Pollination Algorithm for ICMPv6-Based DDoS Attacks Anomaly Detection
Modified Flower Pollination Algorithm for ICMPv6-Based DDoS Attacks Anomaly Detection Open
Internet Protocol version 6 (IPv6) is the latest version of IP that goal to host 3.4*1038 unique IP addresses of devices in the network. IPv6 needed a number of protocols such as the Address Auto-configuration scheme and Internet Control M…
View article: Feature Selection for Detecting ICMPv6-Based DDoS Attacks Using Binary Flower Pollination Algorithm
Feature Selection for Detecting ICMPv6-Based DDoS Attacks Using Binary Flower Pollination Algorithm Open
Internet Protocol version 6 (IPv6) is the latest version of IP that goal to host 3.4 × 1038 unique IP addresses of devices in the network. IPv6 has introduced new features like Neighbour Discovery Protocol (NDP) and Address Auto…
View article: Using Informative Score for Instance Selection Strategy in Semi-Supervised Sentiment Classification
Using Informative Score for Instance Selection Strategy in Semi-Supervised Sentiment Classification Open
Sentiment classification is a useful tool to classify reviews about sentiments and attitudes towards a product or service. Existing studies heavily rely on sentiment classification methods that require fully annotated inputs. However, ther…
View article: Big Data Maturity Assessment Models: A Systematic Literature Review
Big Data Maturity Assessment Models: A Systematic Literature Review Open
Big Data and analytics have become essential factors in managing the COVID-19 pandemic. As no company can escape the effects of the pandemic, mature Big Data and analytics practices are essential for successful decision-making insights and…
View article: Over-the-Counter Breast Cancer Classification Using Machine Learning and Patient Registration Records
Over-the-Counter Breast Cancer Classification Using Machine Learning and Patient Registration Records Open
This study aims to determine the feasibility of machine learning (ML) and patient registration record to be utilised to develop an over-the-counter (OTC) screening model for breast cancer risk estimation. Data were retrospectively collecte…
View article: Oil Palm Yield Prediction Across Blocks Using Multi-Source Data and Machine Learning
Oil Palm Yield Prediction Across Blocks Using Multi-Source Data and Machine Learning Open
Predicting yields on a bigger scale in a timely and accurate manner is essential for preventing climate risk and ensuring food security, particularly in the light of climate change and the escalation of extreme climatic events. Furthermore…
View article: Oil Palm Plantation Land Cover and Age Mapping Using Sentinel-2 Satellite Imagery and Machine Learning Algorithms
Oil Palm Plantation Land Cover and Age Mapping Using Sentinel-2 Satellite Imagery and Machine Learning Algorithms Open
Nowadays, there are various techniques and methods used in land cover classification using remote sensing data especially in oil palm monitoring. This study discussed the oil palm mapping using satellite imagery (Sentinel-2) and classifica…
View article: A Review of an Artificial Intelligence Framework for Identifying the Most Effective Palm Oil Prediction
A Review of an Artificial Intelligence Framework for Identifying the Most Effective Palm Oil Prediction Open
Machine Learning (ML) offers new precision technologies with intelligent algorithms and robust computation. This technology benefits various agricultural industries, such as the palm oil sector, which possesses one of the most sustainable …
View article: Developing An Over-the-Counter Screening Model for Breast Cancer among the Asian Women Population
Developing An Over-the-Counter Screening Model for Breast Cancer among the Asian Women Population Open
This study aimed to determine the feasibility of the development of an over-the-counter (OTC) screening model using machine learning for breast cancer screening in the Asian women population. Data were retrospectively collected from women …
View article: Factors Influencing Mammographic Density in Asian Women: A Retrospective Cohort Study in the Northeast Region of Peninsular Malaysia
Factors Influencing Mammographic Density in Asian Women: A Retrospective Cohort Study in the Northeast Region of Peninsular Malaysia Open
Mammographic density is a significant risk factor for breast cancer. In this study, we identified the risk factors of mammographic density in Asian women and quantified the impact of breast density on the severity of breast cancer. We coll…
View article: A novel ensemble machine learning and time series approach for oil palm yield prediction using Landsat time series imagery based on NDVI
A novel ensemble machine learning and time series approach for oil palm yield prediction using Landsat time series imagery based on NDVI Open
Accurate oil palm yield prediction is necessary to sustain oil palm production for food security and economic return. However, there are limited studies on comprehensive mapping and accurate oil palm yield prediction using advanced machine…
View article: Labelled Dataset on Distributed Denial‐of‐Service (DDoS) Attacks Based on Internet Control Message Protocol Version 6 (ICMPv6)
Labelled Dataset on Distributed Denial‐of‐Service (DDoS) Attacks Based on Internet Control Message Protocol Version 6 (ICMPv6) Open
The most dangerous attack against IPv6 networks today is a distributed denial‐of‐service (DDoS) attack using Internet Control Message Protocol version 6 (ICMPv6) messages. Many ICMPv6‐DDoS attack detection mechanisms rely on self‐created d…
View article: Detection of ICMPv6-based DDoS attacks using anomaly based intrusion detection system: A comprehensive review
Detection of ICMPv6-based DDoS attacks using anomaly based intrusion detection system: A comprehensive review Open
Security network systems have been an increasingly important discipline since the implementation of preliminary stages of Internet Protocol version 6 (IPv6) for exploiting by attackers. IPv6 has an improved protocol in terms of security as…
View article: Predicting Heritability of Oil Palm Breeding Using Phenotypic Traits and Machine Learning
Predicting Heritability of Oil Palm Breeding Using Phenotypic Traits and Machine Learning Open
Oil palm is one of the main crops grown to help achieve sustainability in Malaysia. The selection of the best breeds will produce quality crops and increase crop yields. This study aimed to examine machine learning (ML) in oil palm breedin…
View article: Detection of ICMPv6-based DDoS attacks using anomaly based intrusion detection system: A comprehensive review
Detection of ICMPv6-based DDoS attacks using anomaly based intrusion detection system: A comprehensive review Open
Security network systems have been an increasingly important discipline since the implementation of preliminary stages of Internet Protocol version 6 (IPv6) for exploiting by attackers. IPv6 has an improved protocol in terms of security as…
View article: Harris Hawks Optimizer for Solving Multiple Sequence Alignment
Harris Hawks Optimizer for Solving Multiple Sequence Alignment Open
In the field of bioinformatics, sequence alignment is crucial for the genes study and drug development. Multiple Sequence Alignment (MSA) is an NP-hard problem in the sequence alignment. In the last three decades, the MSA problem has drawn…
View article: Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers
Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers Open
Background The Ministry of Health of Malaysia has invested significant resources to implement an electronic health record (EHR) system to ensure the full automation of hospitals for coordinated care delivery. Thus, evaluating whether the s…