Faranak Abri

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Phishing Emails

Inductive Learning Algorithms

Linguistic Features

Top Venues

Publications

Saroj Gopali, Akbar Siami Namin, Faranak Abri, Keith S. Jones
The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs. SAC (2024)
Saroj Gopali, Akbar Siami Namin, Faranak Abri, Keith S. Jones
The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs. CoRR (2024)
Denish Omondi Otieno, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin
The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models. CoRR (2024)
Denish Omondi Otieno, Faranak Abri, Akbar Siami Namin, Keith S. Jones
Detecting Phishing URLs using the BERT Transformer Model. BigData (2023)
Bharkavi Sachithanandam, Akbar Siami Namin, Faranak Abri
The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews. BigData (2023)
Sonali Singh, Faranak Abri, Akbar Siami Namin
Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles. BigData (2023)
Sonali Singh, Faranak Abri, Akbar Siami Namin
Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles. CoRR (2023)
Huyen N. Nguyen, Faranak Abri, Vung Pham, Moitrayee Chatterjee, Akbar Siami Namin, Tommy Dang
MalView: Interactive Visual Analytics for Comprehending Malware Behavior. IEEE Access 10 (2022)
Prerit Datta, Sara Sartoli, Luis Felipe Gutiérrez, Faranak Abri, Akbar Siami Namin, Keith S. Jones
A user-centric threat model and repository for cyber attacks. SAC (2022)
Bimal Karki, Faranak Abri, Akbar Siami Namin, Keith S. Jones
Using Transformers for Identification of Persuasion Principles in Phishing Emails. Big Data (2022)
Pooja Krishan, Faranak Abri
Classifying Perceived Emotions based on Polarity of Arousal and Valence from Sound Events. Big Data (2022)
Faranak Abri, Jianjun Zheng, Akbar Siami Namin, Keith S. Jones
Markov Decision Process for Modeling Social Engineering Attacks and Finding Optimal Attack Strategies. IEEE Access 10 (2022)
Faranak Abri, Luis Felipe Gutiérrez, Chaitra T. Kulkarni, Akbar Siami Namin, Keith S. Jones
Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks. CoRR (2021)
Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin
A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models. CoRR (2021)
Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin
A Comparison of TCN and LSTM Models in Detecting Anomalies in Time Series Data. IEEE BigData (2021)
Faranak Abri, Luis Felipe Gutiérrez, Chaitra T. Kulkarni, Akbar Siami Namin, Keith S. Jones
Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks. COMPSAC (2021)
Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
Ensemble Learning for Detecting Fake Reviews. COMPSAC (2020)
Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones
Email Embeddings for Phishing Detection. IEEE BigData (2020)
Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones
Phishing Detection through Email Embeddings. CoRR (2020)
Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
Fake Reviews Detection through Analysis of Linguistic Features. CoRR (2020)
Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones
Predicting Emotions Perceived from Sounds. IEEE BigData (2020)
Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
Fake Reviews Detection through Ensemble Learning. CoRR (2020)
Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
Linguistic Features for Detecting Fake Reviews. ICMLA (2020)
Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones
Predicting Emotions Perceived from Sounds. CoRR (2020)
Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones
Abuse of the Cloud as an Attack Platform. COMPSAC (2020)
Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones
Cloud as an Attack Platform. CoRR (2020)
Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones
Launching Stealth Attacks using Cloud. CoRR (2020)
Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones
Cloud: A Platform to Launch Stealth Attacks. COMPSAC (2020)
Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin
Can Machine/Deep Learning Classifiers Detect Zero-Day Malware with High Accuracy? IEEE BigData (2019)
Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin
The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities. CoRR (2019)