Faranak Abri

According to our database, Faranak Abri authored at least 30 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data.

Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin

IEEE Access, 2024

The Applicability of LLMs in Generating Textual Samples for Analysis of Imbalanced Datasets.

Saroj Gopali, Faranak Abri, Akbar Siami Namin, Keith S. Jones

IEEE Access, 2024

The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs.

Saroj Gopali, Akbar Siami Namin, Faranak Abri, Keith S. Jones

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models.

Denish Omondi Otieno, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Deception and Lie Detection Using Reduced Linguistic Features, Deep Models and Large Language Models for Transcribed Data.

Tien Nguyen, Faranak Abri, Akbar Siami Namin, Keith S. Jones

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles.

Sonali Singh, Faranak Abri, Akbar Siami Namin

Proceedings of the IEEE International Conference on Big Data, 2023

The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews.

Bharkavi Sachithanandam, Akbar Siami Namin, Faranak Abri

Proceedings of the IEEE International Conference on Big Data, 2023

Detecting Phishing URLs using the BERT Transformer Model.

Denish Omondi Otieno, Faranak Abri, Akbar Siami Namin, Keith S. Jones

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Content analysis and modeling interactions in social engineering attacks.

Faranak Abri

PhD thesis, 2022

MalView: Interactive Visual Analytics for Comprehending Malware Behavior.

Huyen N. Nguyen, Faranak Abri, Vung Pham, Moitrayee Chatterjee, Akbar Siami Namin, Tommy Dang

IEEE Access, 2022

Markov Decision Process for Modeling Social Engineering Attacks and Finding Optimal Attack Strategies.

Faranak Abri, Jianjun Zheng, Akbar Siami Namin, Keith S. Jones

IEEE Access, 2022

A user-centric threat model and repository for cyber attacks.

Prerit Datta, Sara Sartoli, Luis Felipe Gutiérrez, Faranak Abri, Akbar Siami Namin, Keith S. Jones

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Classifying Perceived Emotions based on Polarity of Arousal and Valence from Sound Events.

Pooja Krishan, Faranak Abri

Proceedings of the IEEE International Conference on Big Data, 2022

Using Transformers for Identification of Persuasion Principles in Phishing Emails.

Bimal Karki, Faranak Abri, Akbar Siami Namin, Keith S. Jones

Proceedings of the IEEE International Conference on Big Data, 2022

2021

A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models.

Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin

CoRR, 2021

Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks.

Faranak Abri, Luis Felipe Gutiérrez, Chaitra T. Kulkarni, Akbar Siami Namin, Keith S. Jones

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

A Comparison of TCN and LSTM Models in Detecting Anomalies in Time Series Data.

Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Phishing Detection through Email Embeddings.

Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones

CoRR, 2020

Fake Reviews Detection through Analysis of Linguistic Features.

Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears

CoRR, 2020

Cloud as an Attack Platform.

Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones

CoRR, 2020

Fake Reviews Detection through Ensemble Learning.

Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin, Keith S. Jones, David R. W. Sears

CoRR, 2020

Launching Stealth Attacks using Cloud.

Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones

CoRR, 2020

Linguistic Features for Detecting Fake Reviews.

Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Ensemble Learning for Detecting Fake Reviews.

Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin, Keith S. Jones, David R. W. Sears

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Cloud: A Platform to Launch Stealth Attacks.

Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Abuse of the Cloud as an Attack Platform.

Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Email Embeddings for Phishing Detection.

Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Predicting Emotions Perceived from Sounds.

Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities.

Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin

CoRR, 2019

Can Machine/Deep Learning Classifiers Detect Zero-Day Malware with High Accuracy?

Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019