Akbar Siami Namin

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 106

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)
Zulfiqar Ali Khan, Akbar Siami Namin
A Survey of Vulnerability Detection Techniques by Smart Contract Tools. IEEE Access 12 (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)
Zulfiqar Ali Khan, Akbar Siami Namin
Involuntary Transfer: A Vulnerability Pattern in Smart Contracts. IEEE Access 12 (2024)
Denish Omondi Otieno, Faranak Abri, Akbar Siami Namin, Keith S. Jones
Detecting Phishing URLs using the BERT Transformer Model. BigData (2023)
Miriam E. Armstrong, Keith S. Jones, Akbar Siami Namin
How Perceptions of Caller Honesty Vary During Vishing Attacks That Include Highly Sensitive or Seemingly Innocuous Requests. Hum. Factors 65 (2) (2023)
Bharkavi Sachithanandam, Akbar Siami Namin, Faranak Abri
The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews. BigData (2023)
Zulfiqar Ali Khan, Akbar Siami Namin
Dynamic Analysis for the Detection of Locked Ether Smart Contracts. BigData (2023)
Zulfiqar Ali Khan, Akbar Siami Namin
Dynamic Analysis for Detection of Self-Destructive Smart Contracts. COMPSAC (2023)
Bipin Chhetri, Saroj Gopali, Rukayat Olapojoye, Samin Dehbashi, Akbar Siami Namin
A Survey on Blockchain-Based Federated Learning and Data Privacy. COMPSAC (2023)
Sonali Singh, Faranak Abri, Akbar Siami Namin
Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles. BigData (2023)
Denish Omondi Otieno, Akbar Siami Namin, Keith S. Jones
The Application of the BERT Transformer Model for Phishing Email Classification. COMPSAC (2023)
Sonali Singh, Faranak Abri, Akbar Siami Namin
Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles. CoRR (2023)
Bipin Chhetri, Saroj Gopali, Rukayat Olapojoye, Samin Dehbashi, Akbar Siami Namin
A Survey on Blockchain-Based Federated Learning and Data Privacy. 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)
Luis Felipe Gutiérrez, Akbar Siami Namin
ContextMiner: Mining Contextual Features for Conceptualizing Knowledge in Security Texts. IEEE Access 10 (2022)
Shannon Angel, Akbar Siami Namin
Conceptual Mappings of Conventional Software and Machine Learning-based Applications Development. COMPSAC (2022)
Saroj Gopali, Zulfiqar Ali Khan, Bipin Chhetri, Bimal Karki, Akbar Siami Namin
Vulnerability Detection in Smart Contracts Using Deep Learning. COMPSAC (2022)
Ayda Demir, Luis Felipe Gutiérrez, Akbar Siami Namin, Stephen B. Bayne
Solar Irradiance Prediction Using Transformer-based Machine Learning Models. Big Data (2022)
Prerit Datta, Akbar Siami Namin, Keith S. Jones
Can We Predict Consequences of Cyber Attacks? ICMLA (2022)
Luis Felipe Gutiérrez, Akbar Siami Namin
Generating Interpretable Features for Context-Aware Document Clustering: A Cybersecurity Case Study. Big Data (2022)
Keith S. Jones, Natalie R. Lodinger, Benjamin P. Widlus, Akbar Siami Namin, Emily Maw, Miriam Armstrong
Grouping and Determining Perceived Severity of Cyber-Attack Consequences: Gaining Information Needed to Sonify Cyber-Attacks. J. Multimodal User Interfaces 16 (4) (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)
Keith S. Jones, Natalie R. Lodinger, Benjamin P. Widlus, Akbar Siami Namin, Emily Maw, Miriam E. Armstrong
How do non experts think about cyber attack consequences? Inf. Comput. Secur. 30 (4) (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)
Shuvalaxmi Dass, Prerit Datta, Akbar Siami Namin
Attack Prediction using Hidden Markov Model. CoRR (2021)
Moitrayee Chatterjee, Akbar Siami Namin
A fuzzy Dempster-Shafer classifier for detecting Web spams. J. Inf. Secur. Appl. 59 (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)
Keith S. Jones, Miriam E. Armstrong, McKenna K. Tornblad, Akbar Siami Namin
How social engineers use persuasion principles during vishing attacks. Inf. Comput. Secur. 29 (2) (2021)
Zulfiqar Ali Khan, Akbar Siami Namin
A Survey on the Applications of Blockchains in Security of IoT Systems. CoRR (2021)
Eleanor K. Foster, Keith S. Jones, Miriam E. Armstrong, Akbar Siami Namin
User Perceptions of Phishing Consequence Severity and Likelihood, and Implications for Warning Message Design. AHFE (10) (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)
Zulfiqar Ali Khan, Akbar Siami Namin
The Applications of Blockchains in Addressing the Integration and Security of IoT Systems: A Survey. IEEE BigData (2021)
Shuvalaxmi Dass, Prerit Datta, Akbar Siami Namin
Attack Prediction using Hidden Markov Model. COMPSAC (2021)
Zahra Sadat Shariatmadar, Karim Faez, Akbar Siami Namin
Sal-HMAX: An Enhanced HMAX Model in Conjunction With a Visual Attention Mechanism to Improve Object Recognition Task. IEEE Access 9 (2021)
Keith S. Jones, Natalie R. Lodinger, Benjamin P. Widlus, Akbar Siami Namin, Rattikorn Hewett
Do Warning Message Design Recommendations Address Why Non-Experts Do Not Protect Themselves from Cybersecurity Threats? A Review. Int. J. Hum. Comput. Interact. 37 (18) (2021)
Sara Sartoli, Sepideh Ghanavati, Akbar Siami Namin
Towards Variability-Aware Legal-GRL Framework for Modeling Compliance Requirements. ESPRE@RE (2020)
Prerit Datta, Natalie R. Lodinger, Akbar Siami Namin, Keith S. Jones
Cyber-Attack Consequence Prediction. CoRR (2020)
Prerit Datta, Natalie R. Lodinger, Akbar Siami Namin, Keith S. Jones
Predicting Consequences of Cyber-Attacks. IEEE BigData (2020)
Miriam E. Armstrong, Keith S. Jones, Akbar Siami Namin, David C. Newton
Knowledge, Skills, and Abilities for Specialized Curricula in Cyber Defense: Results from Interviews with Cyber Professionals. ACM Trans. Comput. Educ. 20 (4) (2020)
Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink
Optimizing CNN using Fast Fourier Transformation for Object Recognition. ICMLA (2020)
Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
Ensemble Learning for Detecting Fake Reviews. COMPSAC (2020)
Shuvalaxmi Dass, Xiaozhen Xue, Akbar Siami Namin
Detection of Coincidentally Correct Test Cases through Random Forests. CoRR (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)
Luis Felipe Gutiérrez, Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic. CoRR (2020)
Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink
Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition. 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)
Zulfiqar Ali Khan, Akbar Siami Namin
A Survey on Vulnerabilities of Ethereum Smart Contracts. CoRR (2020)
Shuvalaxmi Dass, Akbar Siami Namin
Evolutionary Algorithms for Vulnerability Coverage. COMPSAC (2020)
Shuvalaxmi Dass, Akbar Siami Namin
Vulnerability Coverage as an Adequacy Testing Criterion. CoRR (2020)
Shuvalaxmi Dass, Xiaozhen Xue, Akbar Siami Namin
Ensemble Random Forests Classifier for Detecting Coincidentally Correct Test Cases. COMPSAC (2020)
Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
Linguistic Features for Detecting Fake Reviews. ICMLA (2020)
Luis Felipe Gutiérrez, Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic. IEEE BigData (2020)
Shuvalaxmi Dass, Akbar Siami Namin
Vulnerability Coverage for Secure Configuration. CoRR (2020)
Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones
Predicting Emotions Perceived from Sounds. CoRR (2020)
Neda Tavakoli, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin
Clustering Time Series Data through Autoencoder-based Deep Learning Models. 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)
Shuvalaxmi Dass, Akbar Siami Namin
Vulnerability coverage for adequacy security testing. SAC (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)
Shuvalaxmi Dass, Akbar Siami Namin
A Sensitivity Analysis of Evolutionary Algorithms in Generating Secure Configurations. IEEE BigData (2020)
Sara Sartoli, Sepideh Ghanavati, Akbar Siami Namin
Compliance Requirements Checking in Variable Environments. COMPSAC (2020)
Jianjun Zheng, Akbar Siami Namin
Markov Decision Process to Enforce Moving Target Defence Policies. CoRR (2019)
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)
Jianjun Zheng, Akbar Siami Namin
A Survey on the Moving Target Defense Strategies: An Architectural Perspective. J. Comput. Sci. Technol. 34 (1) (2019)
Jianjun Zheng, Akbar Siami Namin
Enforcing Optimal Moving Target Defense Policies. COMPSAC (1) (2019)
Moitrayee Chatterjee, Akbar Siami Namin
Detecting Phishing Websites through Deep Reinforcement Learning. COMPSAC (2) (2019)
Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
The Performance of LSTM and BiLSTM in Forecasting Time Series. IEEE BigData (2019)
Marcel Heimlich, Akbar Siami Namin
TestLocal: just-in-time parametrized testing of local variables. SAC (2019)
Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM. CoRR (2019)
Sara Sartoli, Akbar Siami Namin
Modeling adaptive access control policies using answer set programming. J. Inf. Secur. Appl. 44 (2019)
Moitrayee Chatterjee, Akbar Siami Namin
Deep Reinforcement Learning for Detecting Malicious Websites. CoRR (2019)
Miriam E. Armstrong, Keith S. Jones, Akbar Siami Namin, David C. Newton
What Vulnerability Assessment and Management Cybersecurity Professionals Think Their Future Colleagues Need to Know: (Abstract Only). SIGCSE (2018)
Alaa Darabseh, Sima Siami-Namini, Akbar Siami Namin
Continuous Authentications Using Frequent English Terms. Appl. Artif. Intell. 32 (1) (2018)
Moitrayee Chatterjee, Akbar Siami Namin
Detecting Web Spams Using Evidence Theory. COMPSAC (2) (2018)
Keith S. Jones, Akbar Siami Namin, Miriam E. Armstrong
The Core Cyber-Defense Knowledge, Skills, and Abilities That Cybersecurity Students Should Learn in School: Results from Interviews with Cybersecurity Professionals. ACM Trans. Comput. Educ. 18 (3) (2018)
Moitrayee Chatterjee, Akbar Siami Namin, Prerit Datta
Evidence Fusion for Malicious Bot Detection in IoT. IEEE BigData (2018)
Long Hoang Nguyen, Rattikorn Hewett, Akbar Siami Namin, Nicholas Alvarez, Cristina Bradatan, Fang Jin
Smart and Connected Water Resource Management Via Social Media and Community Engagement. ASONAM (2018)
Jianjun Zheng, Akbar Siami Namin
Defending SDN-based IoT Networks Against DDoS Attacks Using Markov Decision Process. IEEE BigData (2018)
Sima Siami-Namini, Akbar Siami Namin
Forecasting Economics and Financial Time Series: ARIMA vs. LSTM. CoRR (2018)
Prerit Datta, Akbar Siami Namin, Moitrayee Chatterjee
A Survey of Privacy Concerns in Wearable Devices. IEEE BigData (2018)
Xiaozhen Xue, Sima Siami-Namini, Akbar Siami Namin
Testing Multi-Threaded Applications Using Answer Set Programming. Int. J. Softw. Eng. Knowl. Eng. 28 (8) (2018)
Vinh The Nguyen, Akbar Siami Namin, Tommy Dang
MalViz: an interactive visualization tool for tracing malware. ISSTA (2018)
Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
A Comparison of ARIMA and LSTM in Forecasting Time Series. ICMLA (2018)
Jianjun Zheng, Akbar Siami Namin
A Markov Decision Process to Determine Optimal Policies in Moving Target. CCS (2018)
Xiaozhen Xue, Sima Siami-Namini, Akbar Siami Namin
Assessing the Effectiveness of Coverage-Based Fault Localizations Using Mutants. Int. J. Softw. Eng. Knowl. Eng. 28 (8) (2018)
Akbar Siami Namin, Rattikorn Hewett, Keith S. Jones, Rona L. Pogrund
The Sounds of Cyber Threats. CoRR (2018)
Sara Sartoli, Akbar Siami Namin
A semantic model for action-based adaptive security. SAC (2017)
Keith S. Jones, Akbar Siami Namin, Miriam Armstrong
What Should Cybersecurity Students Learn in School?: Results from Interviews with Cyber Professionals (Abstract Only). SIGCSE (2017)
Yulei Pang, Xiaozhen Xue, Akbar Siami Namin
Fault Localizations Through Feature Selections. Int. J. Softw. Eng. Knowl. Eng. 27 (8) (2017)
Yulei Pang, Xiaozhen Xue, Akbar Siami Namin
A Clustering-Based Test Case Classification Technique for Enhancing Regression Testing. J. Softw. 12 (3) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Akbar Siami Namin