Web Services/Agent-Based Model for Inter-Enterprise Collaboration. - Akbar Siami Namin; Weiming Shen 001; Hamada H. Ghenniwa (BASYS, 2004)

Applying secret sharing schemes to service reputation. - Akbar Siami Namin; Ruizhong Wei; Weiming Shen 001; Hamada H. Ghenniwa (CSCWD (2), 2005)

An Efficient Trust Model for Multi-Agent Systems. - Akbar Siami Namin; Ruizhong Wei; Weiming Shen 001; Hamada H. Ghenniwa (CSCWD, 2006)

Implementing enterprise collaboration using web services and software agents. - Akbar Siami Namin; Weiming Shen 001; Hamada H. Ghenniwa (Int. J. Netw. Virtual Organisations, 2006)

Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria. - James H. Andrews; Lionel C. Briand; Yvan Labiche; Akbar Siami Namin (IEEE Trans. Software Eng., 2006)

On Sufficiency of Mutants. - Akbar Siami Namin; James H. Andrews (ICSE Companion, 2007)

Sufficient mutation operators for measuring test effectiveness. - Akbar Siami Namin; James H. Andrews; Duncan J. Murdoch (ICSE, 2008)

The influence of size and coverage on test suite effectiveness. - Akbar Siami Namin; James H. Andrews (ISSTA, 2009)

The influence of environmental parameters on concurrency fault exposures: an exploratory study. - Sahitya Kakarla; Akbar Siami Namin (ESEM, 2010)

Predicting multi-core performance: a case study using Solaris containers. - Akbar Siami Namin; Mohan Sridharan; Pulkit Tomar (IWMSE@ICSE, 2010)

Bayesian methods for data analysis in software engineering. - Mohan Sridharan; Akbar Siami Namin (ICSE (2), 2010)

Prioritizing Mutation Operators Based on Importance Sampling. - Mohan Sridharan; Akbar Siami Namin (ISSRE, 2010)

Bayesian reasoning for software testing. - Akbar Siami Namin; Mohan Sridharan (FoSER, 2010)

An Evaluation of Mutation and Data-Flow Testing: A Meta-analysis. - Sahitya Kakarla; Selina Momotaz; Akbar Siami Namin (ICST Workshops, 2011)

Paraµ - A Partial and Higher-Order Mutation Tool with Concurrency Operators. - Pratyusha Madiraju; Akbar Siami Namin (ICST Workshops, 2011)

The use of mutation in testing experiments and its sensitivity to external threats. - Akbar Siami Namin; Sahitya Kakarla (ISSTA, 2011)

An Energy Model for Applications Running on Multicore Systems. - Delbert Bonner; Akbar Siami Namin (CGC, 2012)

Measuring the Odds of Statements Being Faulty. - Xiaozhen Xue; Akbar Siami Namin (Ada-Europe, 2013)

How Significant is the Effect of Fault Interactions on Coverage-Based Fault Localizations? - Xiaozhen Xue; Akbar Siami Namin (ESEM, 2013)

Identifying Effective Test Cases through K-Means Clustering for Enhancing Regression Testing. - Yulei Pang; Xiaozhen Xue; Akbar Siami Namin (ICMLA (2), 2013)

Trimming Test Suites with Coincidentally Correct Test Cases for Enhancing Fault Localizations. - Xiaozhen Xue; Yulei Pang; Akbar Siami Namin (COMPSAC, 2014)

The accuracy of user authentication through keystroke features using the most frequent words. - Alaa Darabseh; Akbar Siami Namin (CISR, 2014)

Feature Selections for Effectively Localizing Faulty Events in GUI Applications. - Xiaozhen Xue; Yulei Pang; Akbar Siami Namin (ICMLA, 2014)

On Accuracy of Keystroke Authentications Based on Commonly Used English Words. - Alaa Darabseh; Akbar Siami Namin (BIOSIG, 2015)

Keystroke Active Authentications Based on Most Frequently Used Words. - Alaa Darabseh; Akbar Siami Namin (IWSPA@CODASPY, 2015)

On Accuracy of Classification-Based Keystroke Dynamics for Continuous User Authentication. - Alaa Darabseh; Akbar Siami Namin (CW, 2015)

Effective User Authentications Using Keystroke Dynamics Based on Feature Selections. - Alaa Darabseh; Akbar Siami Namin (ICMLA, 2015)

Statistical Fault Localization Based on Importance Sampling. - Akbar Siami Namin (ICMLA, 2015)

Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection. - Yulei Pang; Xiaozhen Xue; Akbar Siami Namin (ICMLA, 2015)

Poster: Reasoning Based on Imperfect Context Data in Adaptive Security. - Sara Sartoli; Akbar Siami Namin (ICSE (2), 2015)

Debugging in Parallel or Sequential: An Empirical Study. - Yulei Pang; Xiaozhen Xue; Akbar Siami Namin (J. Softw., 2015)

MuRanker: a mutant ranking tool. - Akbar Siami Namin; Xiaozhen Xue; Omar Rosas; Pankaj Sharma (Softw. Test. Verification Reliab., 2015)

Sonifying Internet Security Threats. - Akbar Siami Namin; Rattikorn Hewett; Keith S. Jones; Rona L. Pogrund (CHI Extended Abstracts, 2016)

Adaptive Reasoning for Context-Sensitive Access Controls. - Sara Sartoli; Akbar Siami Namin (COMPSAC, 2016)

Adaptive Reasoning in the Presence of Imperfect Security Requirements. - Sara Sartoli; Akbar Siami Namin (COMPSAC, 2016)

The Impact of Address Changes and Host Diversity on the Effectiveness of Moving Target Defense Strategy. - Jianjun Zheng; Akbar Siami Namin (COMPSAC Workshops, 2016)

Early Identification of Vulnerable Software Components via Ensemble Learning. - Yulei Pang; Xiaozhen Xue; Akbar Siami Namin (ICMLA, 2016)

Internet Use and Cybersecurity Concerns of Individuals with Visual Impairments. - Fethi A. Inan; Akbar Siami Namin; Rona L. Pogrund; Keith S. Jones (J. Educ. Technol. Soc., 2016)

A semantic model for action-based adaptive security. - Sara Sartoli; Akbar Siami Namin (SAC, 2017)

What Should Cybersecurity Students Learn in School?: Results from Interviews with Cyber Professionals (Abstract Only). - Keith S. Jones; Akbar Siami Namin; Miriam Armstrong (SIGCSE, 2017)

Fault Localizations Through Feature Selections. - Yulei Pang; Xiaozhen Xue; Akbar Siami Namin (Int. J. Softw. Eng. Knowl. Eng., 2017)

A Clustering-Based Test Case Classification Technique for Enhancing Regression Testing. - Yulei Pang; Xiaozhen Xue; Akbar Siami Namin (J. Softw., 2017)

Smart and Connected Water Resource Management Via Social Media and Community Engagement. - Long Hoang Nguyen 002; Rattikorn Hewett; Akbar Siami Namin; Nicholas Alvarez; Cristina Bradatan; Fang Jin (ASONAM, 2018)

Evidence Fusion for Malicious Bot Detection in IoT. - Moitrayee Chatterjee; Akbar Siami Namin; Prerit Datta (IEEE BigData, 2018)

A Survey of Privacy Concerns in Wearable Devices. - Prerit Datta; Akbar Siami Namin; Moitrayee Chatterjee (IEEE BigData, 2018)

Defending SDN-based IoT Networks Against DDoS Attacks Using Markov Decision Process. - Jianjun Zheng; Akbar Siami Namin (IEEE BigData, 2018)

A Markov Decision Process to Determine Optimal Policies in Moving Target. - Jianjun Zheng; Akbar Siami Namin (CCS, 2018)

Detecting Web Spams Using Evidence Theory. - Moitrayee Chatterjee; Akbar Siami Namin (COMPSAC (2), 2018)

A Comparison of ARIMA and LSTM in Forecasting Time Series. - Sima Siami-Namini; Neda Tavakoli; Akbar Siami Namin (ICMLA, 2018)

MalViz: an interactive visualization tool for tracing malware. - Vinh The Nguyen 001; Akbar Siami Namin; Tommy Dang (ISSTA, 2018)

What Vulnerability Assessment and Management Cybersecurity Professionals Think Their Future Colleagues Need to Know: (Abstract Only). - Miriam E. Armstrong; Keith S. Jones; Akbar Siami Namin; David C. Newton (SIGCSE, 2018)

Continuous Authentications Using Frequent English Terms. - Alaa Darabseh; Sima Siami-Namini; Akbar Siami Namin (Appl. Artif. Intell., 2018)

Forecasting Economics and Financial Time Series: ARIMA vs. LSTM. - Sima Siami-Namini; Akbar Siami Namin (CoRR, 2018)

The Sounds of Cyber Threats. - Akbar Siami Namin; Rattikorn Hewett; Keith S. Jones; Rona L. Pogrund (CoRR, 2018)

Assessing the Effectiveness of Coverage-Based Fault Localizations Using Mutants. - Xiaozhen Xue; Sima Siami-Namini; Akbar Siami Namin (Int. J. Softw. Eng. Knowl. Eng., 2018)

Testing Multi-Threaded Applications Using Answer Set Programming. - Xiaozhen Xue; Sima Siami-Namini; Akbar Siami Namin (Int. J. Softw. Eng. Knowl. Eng., 2018)

The Core Cyber-Defense Knowledge, Skills, and Abilities That Cybersecurity Students Should Learn in School: Results from Interviews with Cybersecurity Professionals. - Keith S. Jones; Akbar Siami Namin; Miriam E. Armstrong (ACM Trans. Comput. Educ., 2018)

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 (IEEE BigData, 2019)

The Performance of LSTM and BiLSTM in Forecasting Time Series. - Sima Siami-Namini; Neda Tavakoli; Akbar Siami Namin (IEEE BigData, 2019)

Detecting Phishing Websites through Deep Reinforcement Learning. - Moitrayee Chatterjee; Akbar Siami Namin (COMPSAC (2), 2019)

Enforcing Optimal Moving Target Defense Policies. - Jianjun Zheng; Akbar Siami Namin (COMPSAC (1), 2019)

TestLocal: just-in-time parametrized testing of local variables. - Marcel Heimlich; Akbar Siami Namin (SAC, 2019)

Deep Reinforcement Learning for Detecting Malicious Websites. - Moitrayee Chatterjee; Akbar Siami Namin (CoRR, 2019)

Markov Decision Process to Enforce Moving Target Defence Policies. - Jianjun Zheng; Akbar Siami Namin (CoRR, 2019)

A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM. - Sima Siami-Namini; Neda Tavakoli; Akbar Siami Namin (CoRR, 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)

Modeling adaptive access control policies using answer set programming. - Sara Sartoli; Akbar Siami Namin (J. Inf. Secur. Appl., 2019)

A Survey on the Moving Target Defense Strategies: An Architectural Perspective. - Jianjun Zheng; Akbar Siami Namin (J. Comput. Sci. Technol., 2019)

Predicting Emotions Perceived from Sounds. - Faranak Abri; Luis Felipe Gutiérrez; Akbar Siami Namin; David R. W. Sears; Keith S. Jones (IEEE BigData, 2020)

A Sensitivity Analysis of Evolutionary Algorithms in Generating Secure Configurations. - Shuvalaxmi Dass; Akbar Siami Namin (IEEE BigData, 2020)

Predicting Consequences of Cyber-Attacks. - Prerit Datta; Natalie R. Lodinger; Akbar Siami Namin; Keith S. Jones (IEEE BigData, 2020)

Email Embeddings for Phishing Detection. - Luis Felipe Gutiérrez; Faranak Abri; Miriam Armstrong; Akbar Siami Namin; Keith S. Jones (IEEE BigData, 2020)

A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic. - Luis Felipe Gutiérrez; Sima Siami-Namini; Neda Tavakoli; Akbar Siami Namin (IEEE BigData, 2020)

Abuse of the Cloud as an Attack Platform. - Moitrayee Chatterjee; Prerit Datta; Faranak Abri; Akbar Siami Namin; Keith S. Jones (COMPSAC, 2020)

Cloud: A Platform to Launch Stealth Attacks. - Moitrayee Chatterjee; Prerit Datta; Faranak Abri; Akbar Siami Namin; Keith S. Jones (COMPSAC, 2020)

Evolutionary Algorithms for Vulnerability Coverage. - Shuvalaxmi Dass; Akbar Siami Namin (COMPSAC, 2020)

Ensemble Random Forests Classifier for Detecting Coincidentally Correct Test Cases. - Shuvalaxmi Dass; Xiaozhen Xue; Akbar Siami Namin (COMPSAC, 2020)

Ensemble Learning for Detecting Fake Reviews. - Luis Gutierrez-Espinoza; Faranak Abri; Akbar Siami Namin; Keith S. Jones; David R. W. Sears (COMPSAC, 2020)

Compliance Requirements Checking in Variable Environments. - Sara Sartoli; Sepideh Ghanavati; Akbar Siami Namin (COMPSAC, 2020)

Towards Variability-Aware Legal-GRL Framework for Modeling Compliance Requirements. - Sara Sartoli; Sepideh Ghanavati; Akbar Siami Namin (ESPRE@RE, 2020)

Linguistic Features for Detecting Fake Reviews. - Faranak Abri; Luis Felipe Gutiérrez; Akbar Siami Namin; Keith S. Jones; David R. W. Sears (ICMLA, 2020)

Optimizing CNN using Fast Fourier Transformation for Object Recognition. - Varsha Nair; Moitrayee Chatterjee; Neda Tavakoli; Akbar Siami Namin; Craig Snoeyink (ICMLA, 2020)

Vulnerability coverage for adequacy security testing. - Shuvalaxmi Dass; Akbar Siami Namin (SAC, 2020)

Clustering Time Series Data through Autoencoder-based Deep Learning Models. - Neda Tavakoli; Sima Siami-Namini; Mahdi Adl Khanghah; Fahimeh Mirza Soltani; Akbar Siami Namin (CoRR, 2020)

Launching Stealth Attacks using Cloud. - 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)

Cloud as an Attack Platform. - Moitrayee Chatterjee; Prerit Datta; Faranak Abri; Akbar Siami Namin; Keith S. Jones (CoRR, 2020)

Vulnerability Coverage for Secure Configuration. - Shuvalaxmi Dass; Akbar Siami Namin (CoRR, 2020)

Detection of Coincidentally Correct Test Cases through Random Forests. - Shuvalaxmi Dass; Xiaozhen Xue; Akbar Siami Namin (CoRR, 2020)

Vulnerability Coverage as an Adequacy Testing Criterion. - Shuvalaxmi Dass; Akbar Siami Namin (CoRR, 2020)

Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition. - Varsha Nair; Moitrayee Chatterjee; Neda Tavakoli; Akbar Siami Namin; Craig Snoeyink (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)

Cyber-Attack Consequence Prediction. - Prerit Datta; Natalie R. Lodinger; Akbar Siami Namin; Keith S. Jones (CoRR, 2020)

A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic. - Luis Felipe Gutiérrez; Sima Siami-Namini; Neda Tavakoli; Akbar Siami Namin (CoRR, 2020)

A Survey on Vulnerabilities of Ethereum Smart Contracts. - Zulfiqar Ali Khan; Akbar Siami Namin (CoRR, 2020)

Phishing Detection through Email Embeddings. - Luis Felipe Gutiérrez; Faranak Abri; Miriam Armstrong; Akbar Siami Namin; Keith S. Jones (CoRR, 2020)

Knowledge, Skills, and Abilities for Specialized Curricula in Cyber Defense: Results from Interviews with Cyber Professionals. - Miriam E. Armstrong; Keith S. Jones; Akbar Siami Namin; David C. Newton (ACM Trans. Comput. Educ., 2020)

User Perceptions of Phishing Consequence Severity and Likelihood, and Implications for Warning Message Design. - Eleanor K. Foster; Keith S. Jones; Miriam E. Armstrong; Akbar Siami Namin (AHFE (10), 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 (IEEE BigData, 2021)

The Applications of Blockchains in Addressing the Integration and Security of IoT Systems: A Survey. - Zulfiqar Ali Khan; Akbar Siami Namin (IEEE BigData, 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 (COMPSAC, 2021)

Attack Prediction using Hidden Markov Model. - Shuvalaxmi Dass; Prerit Datta; Akbar Siami Namin (COMPSAC, 2021)

Sal-HMAX: An Enhanced HMAX Model in Conjunction With a Visual Attention Mechanism to Improve Object Recognition Task. - Zahra Sadat Shariatmadar; Karim Faez; Akbar Siami Namin (IEEE Access, 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)

A Survey on the Applications of Blockchains in Security of IoT Systems. - Zulfiqar Ali Khan; Akbar Siami Namin (CoRR, 2021)

Do Warning Message Design Recommendations Address Why Non-Experts Do Not Protect Themselves from Cybersecurity Threats? A Review. - Keith S. Jones; Natalie R. Lodinger; Benjamin P. Widlus; Akbar Siami Namin; Rattikorn Hewett (Int. J. Hum. Comput. Interact., 2021)

How social engineers use persuasion principles during vishing attacks. - Keith S. Jones; Miriam E. Armstrong; McKenna K. Tornblad; Akbar Siami Namin (Inf. Comput. Secur., 2021)

A fuzzy Dempster-Shafer classifier for detecting Web spams. - Moitrayee Chatterjee; Akbar Siami Namin (J. Inf. Secur. Appl., 2021)

Solar Irradiance Prediction Using Transformer-based Machine Learning Models. - Ayda Demir; Luis Felipe Gutiérrez; Akbar Siami Namin; Stephen B. Bayne (IEEE Big Data, 2022)

Generating Interpretable Features for Context-Aware Document Clustering: A Cybersecurity Case Study. - Luis Felipe Gutiérrez; Akbar Siami Namin (IEEE Big Data, 2022)

Using Transformers for Identification of Persuasion Principles in Phishing Emails. - Bimal Karki; Faranak Abri; Akbar Siami Namin; Keith S. Jones (IEEE Big Data, 2022)

Conceptual Mappings of Conventional Software and Machine Learning-based Applications Development. - Shannon Angel; Akbar Siami Namin (COMPSAC, 2022)

Vulnerability Detection in Smart Contracts Using Deep Learning. - Saroj Gopali; Zulfiqar Ali Khan; Bipin Chhetri; Bimal Karki; Akbar Siami Namin (COMPSAC, 2022)

Can We Predict Consequences of Cyber Attacks? - Prerit Datta; Akbar Siami Namin; Keith S. Jones (ICMLA, 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 (SAC, 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)

ContextMiner: Mining Contextual Features for Conceptualizing Knowledge in Security Texts. - Luis Felipe Gutiérrez; Akbar Siami Namin (IEEE Access, 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)

How do non experts think about cyber attack consequences? - Keith S. Jones; Natalie R. Lodinger; Benjamin P. Widlus; Akbar Siami Namin; Emily Maw; Miriam E. Armstrong (Inf. Comput. Secur., 2022)

Grouping and Determining Perceived Severity of Cyber-Attack Consequences: Gaining Information Needed to Sonify Cyber-Attacks. - Keith S. Jones; Natalie R. Lodinger; Benjamin P. Widlus; Akbar Siami Namin; Emily Maw; Miriam Armstrong (J. Multimodal User Interfaces, 2022)

Dynamic Analysis for the Detection of Locked Ether Smart Contracts. - Zulfiqar Ali Khan; Akbar Siami Namin (IEEE Big Data, 2023)

Detecting Phishing URLs using the BERT Transformer Model. - Denish Omondi Otieno; Faranak Abri; Akbar Siami Namin; Keith S. Jones (IEEE Big Data, 2023)

The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews. - Bharkavi Sachithanandam; Akbar Siami Namin; Faranak Abri (IEEE Big Data, 2023)

Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles. - Sonali Singh; Faranak Abri; Akbar Siami Namin (IEEE Big Data, 2023)

A Survey on Blockchain-Based Federated Learning and Data Privacy. - Bipin Chhetri; Saroj Gopali; Rukayat Olapojoye; Samin Dehbashi; Akbar Siami Namin (COMPSAC, 2023)

Dynamic Analysis for Detection of Self-Destructive Smart Contracts. - Zulfiqar Ali Khan; Akbar Siami Namin (COMPSAC, 2023)

The Application of the BERT Transformer Model for Phishing Email Classification. - Denish Omondi Otieno; Akbar Siami Namin; Keith S. Jones (COMPSAC, 2023)

How Perceptions of Caller Honesty Vary During Vishing Attacks That Include Highly Sensitive or Seemingly Innocuous Requests. - Miriam E. Armstrong; Keith S. Jones; Akbar Siami Namin (Hum. Factors, 2023)

Adversarial Training of Retrieval Augmented Generation to Generate Believable Fake News. - Sonali Singh; Akbar Siami Namin (IEEE Big Data, 2024)

An Information Reliability Framework for Detecting Misinformation based on Large Language Models. - Venkata Sai Prathyush Turaga; Akbar Siami Namin (IEEE Big Data, 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 (COMPSAC, 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 (COMPSAC, 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 (SAC, 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)

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)

Involuntary Transfer: A Vulnerability Pattern in Smart Contracts. - Zulfiqar Ali Khan; Akbar Siami Namin (IEEE Access, 2024)

A Survey of Vulnerability Detection Techniques by Smart Contract Tools. - Zulfiqar Ali Khan; Akbar Siami Namin (IEEE Access, 2024)

The performance of the LSTM-based code generated by Large Language Models (LLMs) in forecasting time series data. - Saroj Gopali; Sima Siami-Namini; Faranak Abri; Akbar Siami Namin (Nat. Lang. Process. J., 2024)

The Application of Transformer-Based Models for Predicting Consequences of Cyber Attacks. - Bipin Chhetri; Akbar Siami Namin (COMPSAC, 2025)

IoT Malware Network Traffic Detection using Deep Learning and GraphSAGE Models. - Nikesh Prajapati; Bimal Karki; Saroj Gopali; Akbar Siami Namin (COMPSAC, 2025)

The effects of persuasion principles on perceived honesty during shoulder surfing attacks. - Keith S. Jones; McKenna K. Tornblad; Miriam E. Armstrong; Jinwoo Choi; Akbar Siami Namin (Inf. Comput. Secur., 2025)

A survey on chatbots and large language models: Testing and evaluation techniques. - Sonali Singh; Akbar Siami Namin (Nat. Lang. Process. J., 2025)

Evolutionary Defense: Advancing Moving Target Strategies with Bio-Inspired Reinforcement Learning to Secure Misconfigured Software Applications. - Niloofar Heidarikohol; Shuvalaxmi Dass; Akbar Siami Namin (CoRR, 2025)