A. Namin

发表

ContextMiner: Mining Contextual Features for Conceptualizing Knowledge in Security Texts

Luis Felipe Gutiérrez, A. Namin, 2022, IEEE Access.

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

Keith S. Jones, A. Namin, Faranak Abri, 2022, IEEE Access.

The Applications of Blockchains in Addressing the Integration and Security of IoT Systems: A Survey

Z. Khan, A. Namin, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Grouping and Determining Perceived Severity of Cyber-Attack Consequences: Gaining Information Needed to Sonify Cyber-Attacks

Emily L. Maw, Natalie R. Lodinger, Miriam E. Armstrong, 2022, Journal on Multimodal User Interfaces.

Sal-HMAX: An Enhanced HMAX Model in Conjunction with a Visual Attention Mechanism to Improve Object Recognition Task

Karim Faez, Akbar Siami Namin, Zahra Sadat Shariatmadar, 2021, IEEE Access.

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

Sima Siami‐Namini, A. Namin, Faranak Abri, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Continuous Authentications Using Frequent English Terms

Akbar Siami Namin, Sima Siami-Namini, Alaa Darabseh, 2018, Appl. Artif. Intell..

How Significant is the Effect of Fault Interactions on Coverage-Based Fault Localizations?

Akbar Siami Namin, Xiaozhen Xue, Xiaozhen Xue, 2013, 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement.

The Performance of LSTM and BiLSTM in Forecasting Time Series

Akbar Siami Namin, Sima Siami-Namini, Neda Tavakoli, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Using experiential learning to teach and learn digital forensics: Educator and student perspectives

Keith S. Jones, Raymond Flores, Sima Siami‐Namini, 2021 .

A Comparison of ARIMA and LSTM in Forecasting Time Series

Akbar Siami Namin, Sima Siami-Namini, Neda Tavakoli, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Bayesian reasoning for software testing

Akbar Siami Namin, Mohan Sridharan, M. Sridharan, 2010, FoSER '10.

Position Paper: Bayesian Reasoning for Software Testing

Akbar Siami Namin, Mohan Sridharan, M. Sridharan, 2010 .

Characteristics that Predict Phishing Susceptibility: A Review

Keith S. Jones, A. Namin, McKenna Tornblad, 2021, Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

Generating Interpretable Features for Context-Aware Document Clustering: A Cybersecurity Case Study

Luis Felipe Gutiérrez, A. Namin, 2022, 2022 IEEE International Conference on Big Data (Big Data).

MuRanker: a mutant ranking tool

Pankaj Sharma, Akbar Siami Namin, Xiaozhen Xue, 2015, Softw. Test. Verification Reliab..

The use of mutation in testing experiments and its sensitivity to external threats

Akbar Siami Namin, Sahitya Kakarla, S. Kakarla, 2011, ISSTA '11.

The influence of size and coverage on test suite effectiveness

Akbar Siami Namin, James H. Andrews, J. Andrews, 2009, ISSTA.

Sufficient mutation operators for measuring test effectiveness

Akbar Siami Namin, James H. Andrews, Duncan J. Murdoch, 2008, 2008 ACM/IEEE 30th International Conference on Software Engineering.

Finding Sufficient Mutation Operators via Variable Reduction

J.H. Andrews, A.S. Namin, J. Andrews, 2006, Second Workshop on Mutation Analysis (Mutation 2006 - ISSRE Workshops 2006).

Optimizing CNN using Fast Fourier Transformation for Object Recognition

Craig Snoeyink, Neda Tavakoli, Moitrayee Chatterjee, 2020, 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA).

How Perceptions of Caller Honesty Vary During Vishing Attacks That Include Highly Sensitive or Seemingly Innocuous Requests

Keith S. Jones, Miriam E. Armstrong, A. Namin, 2021, Hum. Factors.

Forecasting Economics and Financial Time Series: ARIMA vs. LSTM pdf

Akbar Siami Namin, Sima Siami-Namini, Sima Siami‐Namini, 2018, ArXiv.

A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic

Sima Siami‐Namini, Luis Felipe Gutiérrez, Neda Tavakoli, 2020, 2020 IEEE International Conference on Big Data (Big Data).

A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic pdf

Akbar Siami Namin, Sima Siami-Namini, Neda Tavakoli, 2020, ArXiv.

Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria

Lionel C. Briand, Akbar Siami Namin, James H. Andrews, 2006, IEEE Transactions on Software Engineering.

A Survey on the Moving Target Defense Strategies: An Architectural Perspective

A. Namin, Jianjun Zheng, 2019, Journal of Computer Science and Technology.

Detecting Phishing Websites through Deep Reinforcement Learning

Moitrayee Chatterjee, Akbar-Siami Namin, Moitrayee Chatterjee, 2019, 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC).

A Survey of DDOS Attack Detection Techniques for IoT Systems Using BlockChain Technology

Z. Khan, A. Namin, 2022, Electronics.

Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection

Akbar Siami Namin, Xiaozhen Xue, Yulei Pang, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Debugging in Parallel or Sequential: An Empirical Study

Akbar Siami Namin, Xiaozhen Xue, Yulei Pang, 2015, J. Softw..

Measuring the Odds of Statements Being Faulty

Akbar Siami Namin, Xiaozhen Xue, Xiaozhen Xue, 2013, Ada-Europe.

A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM pdf

Akbar Siami Namin, Sima Siami-Namini, Neda Tavakoli, 2019, ArXiv.

A Survey on Blockchain-Based Federated Learning and Data Privacy

A. Namin, Saroj Gopali, Samin Dehbashi, 2023, 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC).

Modeling adaptive access control policies using answer set programming

Sara Sartoli, Akbar Siami Namin, A. Namin, 2019, J. Inf. Secur. Appl..

Adaptive Reasoning in the Presence of Imperfect Security Requirements

Sara Sartoli, Akbar Siami Namin, A. Namin, 2016, 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC).

Adaptive Reasoning for Context-Sensitive Access Controls

Sara Sartoli, Akbar Siami Namin, A. Namin, 2016, 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC).

Poster: Reasoning Based on Imperfect Context Data in Adaptive Security

Sara Sartoli, Akbar Siami Namin, A. Namin, 2015, 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.

Clustering Time Series Data through Autoencoder-based Deep Learning Models pdf

Akbar Siami Namin, Sima Siami-Namini, Neda Tavakoli, 2020, ArXiv.

Smart and Connected Water Resource Management Via Social Media and Community Engagement

Akbar Siami Namin, Fang Jin, Rattikorn Hewett, 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

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

Akbar Siami Namin, Sima Siami-Namini, Faranak Abri, 2021, ArXiv.

Evidence Fusion for Malicious Bot Detection in IoT

Akbar Siami Namin, Moitrayee Chatterjee, Prerit Datta, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Internet Use and Cybersecurity Concerns of Individuals with Visual Impairments

Akbar Siami Namin, Fethi A. Inan, Keith S. Jones, 2016, J. Educ. Technol. Soc..

Email Embeddings for Phishing Detection

Miriam E. Armstrong, Keith S. Jones, Luis Felipe Gutiérrez, 2020, 2020 IEEE International Conference on Big Data (Big Data).

A Survey on Vulnerabilities of Ethereum Smart Contracts pdf

Akbar Siami Namin, Zulfiqar Ali Khan, Z. Khan, 2020, ArXiv.

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

Akbar Siami Namin, Sima Siami-Namini, Faranak Abri, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Ensemble Learning for Detecting Fake Reviews

Akbar Siami Namin, Faranak Abri, Keith S. Jones, 2020, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC).

Warning users about cyber threats through sounds

Akbar Siami Namin, Rattikorn Hewett, Prerit Datta, 2021, SN Applied Sciences.

Testing Multi-Threaded Applications Using Answer Set Programming

Akbar Siami Namin, Xiaozhen Xue, Sima Siami-Namini, 2018, Int. J. Softw. Eng. Knowl. Eng..

Teaching Cyber Security through Competition An Experience Report about a Participatory Training Workshop

Akbar Siami Namin, Keith S. Jones, Zenaida Aguirre-Muñoz, 2016 .

Paraµ -- A Partial and Higher-Order Mutation Tool with Concurrency Operators

Akbar Siami Namin, Pratyusha Madiraju, A. Namin, 2011, 2011 IEEE Fourth International Conference on Software Testing, Verification and Validation Workshops.

Can We Predict Consequences of Cyber Attacks?

Keith S. Jones, A. Namin, Prerit Datta, 2022, 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).

Predicting Consequences of Cyber-Attacks

Natalie R. Lodinger, Keith S. Jones, A. Namin, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Cyber-Attack Consequence Prediction

Keith S. Jones, Natalie R. Lodinger, A. Namin, 2020, ArXiv.

Attack Prediction using Hidden Markov Model

Akbar Siami Namin, Shuvalaxmi Dass, Prerit Datta, 2021, 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC).

The Core Cyber-Defense Knowledge, Skills, and Abilities That Cybersecurity Students Should Learn in School

Akbar Siami Namin, Keith S. Jones, Miriam E. Armstrong, 2018, ACM Trans. Comput. Educ..

Solar Irradiance Prediction Using Transformer-based Machine Learning Models

Luis Felipe Gutiérrez, A. Namin, Stephen B. Bayne, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Effective User Authentications Using Keystroke Dynamics Based on Feature Selections

Akbar Siami Namin, Alaa Darabseh, A. Namin, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Deep Reinforcement Learning for Detecting Malicious Websites pdf

Akbar Siami Namin, Moitrayee Chatterjee, Moitrayee Chatterjee, 2019, ArXiv.

Fake Reviews Detection through Analysis of Linguistic Features pdf

Akbar Siami Namin, Keith S. Jones, Faranak Abri, 2020, ArXiv.

Phishing Detection through Email Embeddings pdf

Akbar Siami Namin, Keith S. Jones, Luis Felipe Guti'errez, 2020, ArXiv.

Fake Reviews Detection through Ensemble Learning pdf

Akbar Siami Namin, Keith S. Jones, Faranak Abri, 2020, ArXiv.

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

Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Sima Siami‐Namini, 2019, ArXiv.

Towards Variability-Aware Legal-GRL Framework for Modeling Compliance Requirements

Sepideh Ghanavati, Sara Sartoli, Akbar Siami Namin, 2020, 2020 IEEE 7th International Workshop on Evolving Security & Privacy Requirements Engineering (ESPRE).

Knowledge, Skills, and Abilities for Specialized Curricula in Cyber Defense

Akbar Siami Namin, Miriam E. Armstrong, David C. Newton, 2020, ACM Trans. Comput. Educ..

A Markov Decision Process to Determine Optimal Policies in Moving Target

Akbar Siami Namin, Jianjun Zheng, A. Namin, 2018, CCS.

An Energy Model for Applications Running on Multicore Systems

Akbar Siami Namin, Delbert Bonner, A. Namin, 2012, 2012 Second International Conference on Cloud and Green Computing.

Measuring the Energy Efficiency Ratio of Parallelized Software Applications

A. Namin, Delbert Bonner, 2014 .