Fariza Sabrina

According to our database, Fariza Sabrina authored at least 43 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

LogFiT: Log Anomaly Detection Using Fine-Tuned Language Models.

Crispin Almodovar, Fariza Sabrina, Sarvnaz Karimi, Salahuddin A. Azad

IEEE Trans. Netw. Serv. Manag., April, 2024

2023

IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset.

Yuhua Yin, Julian Jang-Jaccard, Wen Xu, Amardeep Singh, Jinting Zhu, Fariza Sabrina, Jin Kwak

J. Big Data, December, 2023

Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis.

Tin Lai, Farnaz Farid, Abubakar Bello, Fariza Sabrina

CoRR, 2023

Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods.

Yuanyuan Wei, Julian Jang-Jaccard, Amardeep Singh, Fariza Sabrina, Seyit Camtepe

CoRR, 2023

Reconstruction-based LSTM-Autoencoder for Anomaly-based DDoS Attack Detection over Multivariate Time-Series Data.

Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Wen Xu, Seyit Camtepe, Aeryn Dunmore

CoRR, 2023

Generative Adversarial Networks for Malware Detection: a Survey.

Aeryn Dunmore, Julian Jang-Jaccard, Fariza Sabrina, Jin Kwak

CoRR, 2023

A Comprehensive Survey of Generative Adversarial Networks (GANs) in Cybersecurity Intrusion Detection.

Aeryn Dunmore, Julian Jang-Jaccard, Fariza Sabrina, Jin Kwak

IEEE Access, 2023

Clustering-TinyPointNet for Fast Large-scale Point Cloud Semantic Segmentation.

Zhenglin Wang, Kerry B. Walsh, Fariza Sabrina, Lasitha Piyathilaka, Yufeng Lin

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Improving Multilayer-Perceptron(MLP)-based Network Anomaly Detection with Birch Clustering on CICIDS-2017 Dataset.

Yuhua Yin, Julian Jang-Jaccard, Fariza Sabrina, Jin Kwak

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Empowering Patients to Delegate and Revoke Access to Blockchain-based Electronic Health Records.

Fariza Sabrina, Tony Sahama, Md. Mamunur Rashid, Steven Gordon

Proceedings of the 2023 Australasian Computer Science Week, 2023

2022

A Blockchain Based Secure IoT System Using Device Identity Management.

Fariza Sabrina, Nan Li, Shaleeza Sohail

Sensors, 2022

Artificial Intelligence-Enabled DDoS Detection for Blockchain-Based Smart Transport Systems.

Tong Liu, Fariza Sabrina, Julian Jang-Jaccard, Wen Xu, Yuanyuan Wei

Sensors, 2022

Multi-tiered Artificial Neural Networks model for intrusion detection in smart homes.

Shaleeza Sohail, Zongwen Fan, Xin Gu, Fariza Sabrina

Intell. Syst. Appl., 2022

Explainable and Optimally Configured Artificial Neural Networks for Attack Detection in Smart Homes.

Shaleeza Sohail, Zongwen Fan, Xin Gu, Fariza Sabrina

CoRR, 2022

LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data.

Yuanyuan Wei, Julian Jang-Jaccard, Wen Xu, Fariza Sabrina, Seyit Camtepe, Mikael Boulic

CoRR, 2022

Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection.

Wen Xu, Julian Jang-Jaccard, Tong Liu, Fariza Sabrina

CoRR, 2022

Improved Bidirectional GAN-Based Approach for Network Intrusion Detection Using One-Class Classifier.

Wen Xu, Julian Jang-Jaccard, Tong Liu, Fariza Sabrina, Jin Kwak

Comput., 2022

AI and Fake News: A Conceptual Framework for Fake News Detection.

Leila Ameli, Md Shah Alam Chowdhury, Farnaz Farid, Abubakar Bello, Fariza Sabrina, Alana Maurushat

Proceedings of the 2022 International Conference on Cyber Security, 2022

2021

Entitlement-Based Access Control for Smart Cities Using Blockchain.

Fariza Sabrina, Julian Jang-Jaccard

Sensors, 2021

A Smart Biometric Identity Management Framework for Personalised IoT and Cloud Computing-Based Healthcare Services.

Farnaz Farid, Mahmoud Elkhodr, Fariza Sabrina, Farhad Ahamed, Ergun Gide

Sensors, 2021

Improving Performance of Autoencoder-Based Network Anomaly Detection on NSL-KDD Dataset.

Wen Xu, Julian Jang-Jaccard, Amardeep Singh, Yuanyuan Wei, Fariza Sabrina

IEEE Access, 2021

AE-MLP: A Hybrid Deep Learning Approach for DDoS Detection and Classification.

Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Amardeep Singh, Wen Xu, Seyit Camtepe

IEEE Access, 2021

Performance Enhancement of Intrusion Detection System Using Machine Learning Algorithms with Feature Selection.

Anuradha Samkham Raju, Md. Mamunur Rashid, Fariza Sabrina

Proceedings of the 31st International Telecommunication Networks and Applications Conference, 2021

MSD-Kmeans: A Hybrid Algorithm for Efficient Detection of Global and Local Outliers.

Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Timothy R. McIntosh

Proceedings of the 15th IEEE International Conference on Big Data Science and Engineering, 2021

2020

Large-Scale Outlier Detection for Low-Cost PM₁₀ Sensors.

Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Hooman Alavizadeh

IEEE Access, 2020

2019

MSD-Kmeans: A Novel Algorithm for Efficient Detection of Global and Local Outliers.

Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Timothy R. McIntosh

CoRR, 2019

Blockchain and Structural Relationship Based Access Control for IoT: A Smart City Use Case.

Fariza Sabrina

Proceedings of the 44th IEEE Conference on Local Computer Networks, 2019

A Novel Entitlement-based Blockchain-enabled Security Architecture for IoT.

Fariza Sabrina

Proceedings of the 29th International Telecommunication Networks and Applications Conference, 2019

2016

Effectiveness of Problem-Based Learning Implementation.

Savitri Bevinakoppa, Biplob Ray, Fariza Sabrina

Int. J. Qual. Assur. Eng. Technol. Educ., 2016

2010

A novel resource scheduling algorithm for QoS-aware services on the Internet.

Fariza Sabrina

Comput. Electr. Eng., 2010

Improving Performance of Multimedia Applications in Distributed Collaborative Environment.

Fariza Sabrina

Proceedings of the Global Communications Conference, 2010

2009

Rate control of multi class priority flows with end-to-end delay and rate constraints for QoS networks.

Zvi Rosberg, Fariza Sabrina

Comput. Networks, 2009

Rate and delay controlled core networks: An experimental demonstration.

Zvi Rosberg, Fariza Sabrina, Sheldon Dealy, John Matthews, Craig Russell

Proceedings of the 17th International Workshop on Quality of Service, 2009

Priority Based Dynamic Rate Control for VoIP Traffic.

Fariza Sabrina, Jean-Marc Valin

Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2008

Adaptive Rate Control for Aggregated VoIP Traffic.

Fariza Sabrina, Jean-Marc Valin

Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

2007

Design, Analysis, and Implementation of a Novel Low Complexity Scheduler for Joint Resource Allocation.

Fariza Sabrina, Salil S. Kanhere, Sanjay K. Jha

IEEE Trans. Parallel Distributed Syst., 2007

Design, Analysis and Implementation of a Novel Multiple Resource Scheduler.

Fariza Sabrina, Salil S. Kanhere, Sanjay K. Jha

IEEE Trans. Computers, 2007

QoS Aware Dynamic Flow Control in Virtual Private Network.

Fariza Sabrina, Glynn Rogers

Proceedings of IEEE International Conference on Communications, 2007

2005

Processing resource scheduling in programmable networks.

Fariza Sabrina, Cong Duc Nguyen, Sanjay K. Jha, Don Platt, Farzad Safaei

Comput. Commun., 2005

Implementation and Performance Analysis of a Packet Scheduler on a Programmable Network Processor.

Fariza Sabrina, Salil S. Kanhere, Sanjay K. Jha

Proceedings of the 30th Annual IEEE Conference on Local Computer Networks (LCN 2005), 2005

2004

A composite scheduling algorithm for programmable networks.

Fariza Sabrina, Sanjay K. Jha

Proceedings of IEEE International Conference on Communications, 2004

2003

An Adaptive Resource Management Architecture for Active Networks.

Fariza Sabrina, Sanjay K. Jha

Telecommun. Syst., 2003

Scheduling Resources in Programmable and Active Networks Based on Adaptive Estimations.

Fariza Sabrina, Sanjay K. Jha

Proceedings of the 28th Annual IEEE Conference on Local Computer Networks (LCN 2003), 2003