Fariza Sabrina

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 34

Top Topics

Intrusion Detection

Top Venues

Publications

Tin Lai, Farnaz Farid, Abubakar Bello, Fariza Sabrina
Ensemble learning based anomaly detection for IoT cybersecurity via Bayesian hyperparameters sensitivity analysis. Cybersecur. 7 (1) (2024)
Crispin Almodovar, Fariza Sabrina, Sarvnaz Karimi, Salahuddin A. Azad
LogFiT: Log Anomaly Detection Using Fine-Tuned Language Models. IEEE Trans. Netw. Serv. Manag. 21 (2) (2024)
Umair Ullah Tariq, Haider Ali, Muhammad Shahroz Nadeem, Syed Roohullah Jan, Fariza Sabrina, Srimannarayana Grandhi, Zhenglin Wang, Lu Liu
Energy-Aware Successor Tree Consistent EDF Scheduling for PCTGs on MPSoCs. IEEE Access 12 (2024)
Mohamed Azarudheen Mohamed Mohideen, Muhammad Shahroz Nadeem, James Hardy, Haider Ali, Umair Ullah Tariq, Fariza Sabrina, Muhammad Waqar, Salman Ahmed
Behind the Code: Identifying Zero-Day Exploits in WordPress. Future Internet 16 (7) (2024)
Zhenglin Wang, Kerry Walsh, Fariza Sabrina, Lasitha Piyathilaka, Yufeng Lin
Clustering-TinyPointNet for Fast Large-scale Point Cloud Semantic Segmentation. DICTA (2023)
Aeryn Dunmore, Julian Jang-Jaccard, Fariza Sabrina, Jin Kwak
A Comprehensive Survey of Generative Adversarial Networks (GANs) in Cybersecurity Intrusion Detection. IEEE Access 11 (2023)
Fariza Sabrina, Tony Sahama, Md. Mamunur Rashid, Steven Gordon
Empowering Patients to Delegate and Revoke Access to Blockchain-based Electronic Health Records. ACSW (2023)
Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Wen Xu, Seyit Camtepe, Aeryn Dunmore
Reconstruction-based LSTM-Autoencoder for Anomaly-based DDoS Attack Detection over Multivariate Time-Series Data. CoRR (2023)
Tin Lai, Farnaz Farid, Abubakar Bello, Fariza Sabrina
Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis. CoRR (2023)
Yuhua Yin, Julian Jang-Jaccard, Fariza Sabrina, Jin Kwak
Improving Multilayer-Perceptron(MLP)-based Network Anomaly Detection with Birch Clustering on CICIDS-2017 Dataset. CSCWD (2023)
Yuhua Yin, Julian Jang-Jaccard, Wen Xu, Amardeep Singh, Jinting Zhu, Fariza Sabrina, Jin Kwak
IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset. J. Big Data 10 (1) (2023)
Aeryn Dunmore, Julian Jang-Jaccard, Fariza Sabrina, Jin Kwak
Generative Adversarial Networks for Malware Detection: a Survey. CoRR (2023)
Yuanyuan Wei, Julian Jang-Jaccard, Amardeep Singh, Fariza Sabrina, Seyit Camtepe
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods. CoRR (2023)
Wen Xu, Julian Jang-Jaccard, Tong Liu, Fariza Sabrina, Jin Kwak
Improved Bidirectional GAN-Based Approach for Network Intrusion Detection Using One-Class Classifier. Comput. 11 (6) (2022)
Yuhua Yin, Julian Jang-Jaccard, Wen Xu, Amardeep Singh, Jinting Zhu, Fariza Sabrina, Jin Kwak
IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset. CoRR (2022)
Yuhua Yin, Julian Jang-Jaccard, Fariza Sabrina, Jin Kwak
Improving Multilayer-Perceptron(MLP)-based Network Anomaly Detection with Birch Clustering on CICIDS-2017 Dataset. CoRR (2022)
Yuanyuan Wei, Julian Jang-Jaccard, Wen Xu, Fariza Sabrina, Seyit Camtepe, Mikael Boulic
LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data. CoRR (2022)
Fariza Sabrina, Nan Li, Shaleeza Sohail
A Blockchain Based Secure IoT System Using Device Identity Management. Sensors 22 (19) (2022)
Wen Xu, Julian Jang-Jaccard, Tong Liu, Fariza Sabrina
Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection. CoRR (2022)
Tong Liu, Fariza Sabrina, Julian Jang-Jaccard, Wen Xu, Yuanyuan Wei
Artificial Intelligence-Enabled DDoS Detection for Blockchain-Based Smart Transport Systems. Sensors 22 (1) (2022)
Shaleeza Sohail, Zongwen Fan, Xin Gu, Fariza Sabrina
Explainable and Optimally Configured Artificial Neural Networks for Attack Detection in Smart Homes. CoRR (2022)
Leila Ameli, Md Shah Alam Chowdhury, Farnaz Farid, Abubakar Bello, Fariza Sabrina, Alana Maurushat
AI and Fake News: A Conceptual Framework for Fake News Detection. CSW (2022)
Shaleeza Sohail, Zongwen Fan, Xin Gu, Fariza Sabrina
Multi-tiered Artificial Neural Networks model for intrusion detection in smart homes. Intell. Syst. Appl. 16 (2022)
Anuradha Samkham Raju, Md. Mamunur Rashid, Fariza Sabrina
Performance Enhancement of Intrusion Detection System Using Machine Learning Algorithms with Feature Selection. ITNAC (2021)
Farnaz Farid, Mahmoud Elkhodr, Fariza Sabrina, Farhad Ahamed, Ergun Gide
A Smart Biometric Identity Management Framework for Personalised IoT and Cloud Computing-Based Healthcare Services. Sensors 21 (2) (2021)
Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Amardeep Singh, Wen Xu, Seyit Camtepe
AE-MLP: A Hybrid Deep Learning Approach for DDoS Detection and Classification. IEEE Access 9 (2021)
Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Timothy R. McIntosh
MSD-Kmeans: A Hybrid Algorithm for Efficient Detection of Global and Local Outliers. BigDataSE (2021)
Wen Xu, Julian Jang-Jaccard, Amardeep Singh, Yuanyuan Wei, Fariza Sabrina
Improving Performance of Autoencoder-Based Network Anomaly Detection on NSL-KDD Dataset. IEEE Access 9 (2021)
Fariza Sabrina, Julian Jang-Jaccard
Entitlement-Based Access Control for Smart Cities Using Blockchain. Sensors 21 (16) (2021)
Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Hooman Alavizadeh
Large-Scale Outlier Detection for Low-Cost PM₁₀ Sensors. IEEE Access 8 (2020)
Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Timothy R. McIntosh
MSD-Kmeans: A Novel Algorithm for Efficient Detection of Global and Local Outliers. CoRR (2019)
Fariza Sabrina
Blockchain and Structural Relationship Based Access Control for IoT: A Smart City Use Case. LCN (2019)
Fariza Sabrina
A Novel Entitlement-based Blockchain-enabled Security Architecture for IoT. ITNAC (2019)
Savitri Bevinakoppa, Biplob Ray, Fariza Sabrina
Effectiveness of Problem-Based Learning Implementation. Int. J. Qual. Assur. Eng. Technol. Educ. 5 (3) (2016)
Fariza Sabrina
A novel resource scheduling algorithm for QoS-aware services on the Internet. Comput. Electr. Eng. 36 (4) (2010)
Fariza Sabrina
Improving Performance of Multimedia Applications in Distributed Collaborative Environment. GLOBECOM (2010)
Zvi Rosberg, Fariza Sabrina
Rate control of multi class priority flows with end-to-end delay and rate constraints for QoS networks. Comput. Networks 53 (16) (2009)
Zvi Rosberg, Fariza Sabrina, Sheldon Dealy, John Matthews, Craig Russell
Rate and delay controlled core networks: An experimental demonstration. IWQoS (2009)
Fariza Sabrina, Jean-Marc Valin
Priority Based Dynamic Rate Control for VoIP Traffic. GLOBECOM (2009)
Fariza Sabrina, Jean-Marc Valin
Adaptive Rate Control for Aggregated VoIP Traffic. GLOBECOM (2008)
Fariza Sabrina, Salil S. Kanhere, Sanjay K. Jha
Design, Analysis, and Implementation of a Novel Low Complexity Scheduler for Joint Resource Allocation. IEEE Trans. Parallel Distributed Syst. 18 (6) (2007)
Fariza Sabrina, Salil S. Kanhere, Sanjay K. Jha
Design, Analysis and Implementation of a Novel Multiple Resource Scheduler. IEEE Trans. Computers 56 (8) (2007)
Fariza Sabrina, Glynn Rogers
QoS Aware Dynamic Flow Control in Virtual Private Network. ICC (2007)
Fariza Sabrina, Salil S. Kanhere, Sanjay K. Jha
Implementation and Performance Analysis of a Packet Scheduler on a Programmable Network Processor. LCN (2005)
Fariza Sabrina, Cong Duc Nguyen, Sanjay K. Jha, Don Platt, Farzad Safaei
Processing resource scheduling in programmable networks. Comput. Commun. 28 (6) (2005)
Fariza Sabrina, Sanjay K. Jha
A composite scheduling algorithm for programmable networks. ICC (2004)
Fariza Sabrina, Sanjay K. Jha
An Adaptive Resource Management Architecture for Active Networks. Telecommun. Syst. 24 (2-4) (2003)
Fariza Sabrina, Sanjay K. Jha
Scheduling Resources in Programmable and Active Networks Based on Adaptive Estimations. LCN (2003)