Akbar Siami Namin

160 papers A* 2A 8B 33C 11Misc 6Journal 67Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Exploratory Survey on the Use of Graph Algorithms in Analysis of Social Networks. IEEE Access Udochukwu Nwandikom, Akbar Siami Namin
2025	J	`jnl`	A survey on chatbots and large language models: Testing and evaluation techniques. Nat. Lang. Process. J. Sonali Singh, Akbar Siami Namin
2025	B	`conf`	An LLM-Based Multi-Modal Framework for Efficient and Realtime Detection of Sensitive Information Using Speech and Transcribed Data. IEEE Big Data Vamsi Krishna Koppala, Srijagan Tirumalavasa Adari, Akbar Siami Namin
2025	J	`jnl`	CO2 (Co-Compliance Officer): An LLM-Based Ontology-Driven Methodology for Generating Knowledge Graphs and AI Compliance Checking. IEEE Access Venkata Sai Prathyush Turaga, Timea Pahi, Simon Tjoa, Sima Siami-Namini, Akbar Siami Namin
2025	B	`conf`	Emotion Detection in Imbalanced Conversational Data Using Transformer-Based Language Models. IEEE Big Data Bipsa Paka, Akbar Siami Namin, Faranak Abri, Keith S. Jones
2025	J	`jnl`	Evolutionary Defense: Advancing Moving Target Strategies with Bio-Inspired Reinforcement Learning to Secure Misconfigured Software Applications. CoRR Niloofar Heidarikohol, Shuvalaxmi Dass, Akbar Siami Namin
2025	B	`conf`	In-Context and Few-Shots Learning for Forecasting Time Series Data Based on Large Language Models. IEEE Big Data Saroj Gopali, Bipin Chhetri, Deepika Giri, Sima Siami-Namini, Akbar Siami Namin
2025	J	`jnl`	In-Context and Few-Shots Learning for Forecasting Time Series Data based on Large Language Models. CoRR Saroj Gopali, Bipin Chhetri, Deepika Giri, Sima Siami-Namini, Akbar Siami Namin
2025	B	`conf`	IoT Malware Network Traffic Detection using Deep Learning and GraphSAGE Models. COMPSAC Nikesh Prajapati, Bimal Karki, Saroj Gopali, Akbar Siami Namin
2025	J	`jnl`	IoT Malware Network Traffic Detection using Deep Learning and GraphSAGE Models. CoRR Nikesh Prajapati, Bimal Karki, Saroj Gopali, Akbar Siami Namin
2025	B	`conf`	The Application of Transformer-Based Models for Predicting Consequences of Cyber Attacks. COMPSAC Bipin Chhetri, Akbar Siami Namin
2025	J	`jnl`	The Application of Transformer-Based Models for Predicting Consequences of Cyber Attacks. CoRR Bipin Chhetri, Akbar Siami Namin
2025	J	`jnl`	The effects of persuasion principles on perceived honesty during shoulder surfing attacks. Inf. Comput. Secur. Keith S. Jones, McKenna K. Tornblad, Miriam E. Armstrong, Jinwoo Choi, Akbar Siami Namin
2025	J	`jnl`	The influence of persuasive techniques on large language models: A scenario-based study. Comput. Hum. Behav. Artif. Humans Sonali Singh, Akbar Siami Namin
2024	J	`jnl`	A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data. IEEE Access Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin
2024	J	`jnl`	A Survey of Vulnerability Detection Techniques by Smart Contract Tools. IEEE Access Zulfiqar Ali Khan, Akbar Siami Namin
2024	B	`conf`	Adversarial Training of Retrieval Augmented Generation to Generate Believable Fake News. IEEE Big Data Sonali Singh, Akbar Siami Namin
2024	B	`conf`	An Information Reliability Framework for Detecting Misinformation based on Large Language Models. IEEE Big Data Venkata Sai Prathyush Turaga, Akbar Siami Namin
2024	B	`conf`	Deception and Lie Detection Using Reduced Linguistic Features, Deep Models and Large Language Models for Transcribed Data. COMPSAC Tien Nguyen, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2024	J	`jnl`	Involuntary Transfer: A Vulnerability Pattern in Smart Contracts. IEEE Access Zulfiqar Ali Khan, Akbar Siami Namin
2024	B	`conf`	The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models. COMPSAC Denish Omondi Otieno, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin
2024	J	`jnl`	The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models. CoRR Denish Omondi Otieno, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin
2024	J	`jnl`	The Applicability of LLMs in Generating Textual Samples for Analysis of Imbalanced Datasets. IEEE Access Saroj Gopali, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2024	Misc	`conf`	The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs. SAC Saroj Gopali, Akbar Siami Namin, Faranak Abri, Keith S. Jones
2024	J	`jnl`	The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs. CoRR Saroj Gopali, Akbar Siami Namin, Faranak Abri, Keith S. Jones
2024	J	`jnl`	The Performance of the LSTM-based Code Generated by Large Language Models (LLMs) in Forecasting Time Series Data. CoRR Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin
2024	J	`jnl`	The performance of the LSTM-based code generated by Large Language Models (LLMs) in forecasting time series data. Nat. Lang. Process. J. Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin
2023	B	`conf`	A Survey on Blockchain-Based Federated Learning and Data Privacy. COMPSAC Bipin Chhetri, Saroj Gopali, Rukayat Olapojoye, Samin Dehbashi, Akbar Siami Namin
2023	J	`jnl`	A Survey on Blockchain-Based Federated Learning and Data Privacy. CoRR Bipin Chhetri, Saroj Gopali, Rukayat Olapojoye, Samin Dehbashi, Akbar Siami Namin
2023	B	`conf`	Detecting Phishing URLs using the BERT Transformer Model. IEEE Big Data Denish Omondi Otieno, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2023	B	`conf`	Dynamic Analysis for Detection of Self-Destructive Smart Contracts. COMPSAC Zulfiqar Ali Khan, Akbar Siami Namin
2023	B	`conf`	Dynamic Analysis for the Detection of Locked Ether Smart Contracts. IEEE Big Data Zulfiqar Ali Khan, Akbar Siami Namin
2023	B	`conf`	Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles. IEEE Big Data Sonali Singh, Faranak Abri, Akbar Siami Namin
2023	J	`jnl`	Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles. CoRR Sonali Singh, Faranak Abri, Akbar Siami Namin
2023	J	`jnl`	How Perceptions of Caller Honesty Vary During Vishing Attacks That Include Highly Sensitive or Seemingly Innocuous Requests. Hum. Factors Miriam E. Armstrong, Keith S. Jones, Akbar Siami Namin
2023	B	`conf`	The Application of the BERT Transformer Model for Phishing Email Classification. COMPSAC Denish Omondi Otieno, Akbar Siami Namin, Keith S. Jones
2023	B	`conf`	The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews. IEEE Big Data Bharkavi Sachithanandam, Akbar Siami Namin, Faranak Abri
2022	Misc	`conf`	A user-centric threat model and repository for cyber attacks. SAC Prerit Datta, Sara Sartoli, Luis Felipe Gutiérrez, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2022	C	`conf`	Can We Predict Consequences of Cyber Attacks? ICMLA Prerit Datta, Akbar Siami Namin, Keith S. Jones
2022	B	`conf`	Conceptual Mappings of Conventional Software and Machine Learning-based Applications Development. COMPSAC Shannon Angel, Akbar Siami Namin
2022	J	`jnl`	ContextMiner: Mining Contextual Features for Conceptualizing Knowledge in Security Texts. IEEE Access Luis Felipe Gutiérrez, Akbar Siami Namin
2022	B	`conf`	Generating Interpretable Features for Context-Aware Document Clustering: A Cybersecurity Case Study. IEEE Big Data Luis Felipe Gutiérrez, Akbar Siami Namin
2022	J	`jnl`	Grouping and Determining Perceived Severity of Cyber-Attack Consequences: Gaining Information Needed to Sonify Cyber-Attacks. J. Multimodal User Interfaces Keith S. Jones, Natalie R. Lodinger, Benjamin P. Widlus, Akbar Siami Namin, Emily Maw, Miriam Armstrong
2022	J	`jnl`	How do non experts think about cyber attack consequences? Inf. Comput. Secur. Keith S. Jones, Natalie R. Lodinger, Benjamin P. Widlus, Akbar Siami Namin, Emily Maw, Miriam E. Armstrong
2022	J	`jnl`	MalView: Interactive Visual Analytics for Comprehending Malware Behavior. IEEE Access Huyen N. Nguyen, Faranak Abri, Vung Pham, Moitrayee Chatterjee, Akbar Siami Namin, Tommy Dang
2022	J	`jnl`	Markov Decision Process for Modeling Social Engineering Attacks and Finding Optimal Attack Strategies. IEEE Access Faranak Abri, Jianjun Zheng, Akbar Siami Namin, Keith S. Jones
2022	B	`conf`	Solar Irradiance Prediction Using Transformer-based Machine Learning Models. IEEE Big Data Ayda Demir, Luis Felipe Gutiérrez, Akbar Siami Namin, Stephen B. Bayne
2022	B	`conf`	Using Transformers for Identification of Persuasion Principles in Phishing Emails. IEEE Big Data Bimal Karki, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2022	B	`conf`	Vulnerability Detection in Smart Contracts Using Deep Learning. COMPSAC Saroj Gopali, Zulfiqar Ali Khan, Bipin Chhetri, Bimal Karki, Akbar Siami Namin
2021	J	`jnl`	A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models. CoRR Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin
2021	—	`conf`	A Comparison of TCN and LSTM Models in Detecting Anomalies in Time Series Data. IEEE BigData Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin
2021	J	`jnl`	A Survey on the Applications of Blockchains in Security of IoT Systems. CoRR Zulfiqar Ali Khan, Akbar Siami Namin
2021	J	`jnl`	A fuzzy Dempster-Shafer classifier for detecting Web spams. J. Inf. Secur. Appl. Moitrayee Chatterjee, Akbar Siami Namin
2021	B	`conf`	Attack Prediction using Hidden Markov Model. COMPSAC Shuvalaxmi Dass, Prerit Datta, Akbar Siami Namin
2021	J	`jnl`	Attack Prediction using Hidden Markov Model. CoRR Shuvalaxmi Dass, Prerit Datta, Akbar Siami Namin
2021	J	`jnl`	Do Warning Message Design Recommendations Address Why Non-Experts Do Not Protect Themselves from Cybersecurity Threats? A Review. Int. J. Hum. Comput. Interact. Keith S. Jones, Natalie R. Lodinger, Benjamin P. Widlus, Akbar Siami Namin, Rattikorn Hewett
2021	J	`jnl`	How social engineers use persuasion principles during vishing attacks. Inf. Comput. Secur. Keith S. Jones, Miriam E. Armstrong, McKenna K. Tornblad, Akbar Siami Namin
2021	J	`jnl`	Sal-HMAX: An Enhanced HMAX Model in Conjunction With a Visual Attention Mechanism to Improve Object Recognition Task. IEEE Access Zahra Sadat Shariatmadar, Karim Faez, Akbar Siami Namin
2021	—	`conf`	The Applications of Blockchains in Addressing the Integration and Security of IoT Systems: A Survey. IEEE BigData Zulfiqar Ali Khan, Akbar Siami Namin
2021	B	`conf`	Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks. COMPSAC Faranak Abri, Luis Felipe Gutiérrez, Chaitra T. Kulkarni, Akbar Siami Namin, Keith S. Jones
2021	J	`jnl`	Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks. CoRR Faranak Abri, Luis Felipe Gutiérrez, Chaitra T. Kulkarni, Akbar Siami Namin, Keith S. Jones
2021	—	`conf`	User Perceptions of Phishing Consequence Severity and Likelihood, and Implications for Warning Message Design. AHFE (10) Eleanor K. Foster, Keith S. Jones, Miriam E. Armstrong, Akbar Siami Namin
2020	J	`jnl`	A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic. CoRR Luis Felipe Gutiérrez, Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
2020	—	`conf`	A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic. IEEE BigData Luis Felipe Gutiérrez, Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
2020	—	`conf`	A Sensitivity Analysis of Evolutionary Algorithms in Generating Secure Configurations. IEEE BigData Shuvalaxmi Dass, Akbar Siami Namin
2020	J	`jnl`	A Survey on Vulnerabilities of Ethereum Smart Contracts. CoRR Zulfiqar Ali Khan, Akbar Siami Namin
2020	B	`conf`	Abuse of the Cloud as an Attack Platform. COMPSAC Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2020	J	`jnl`	Cloud as an Attack Platform. CoRR Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2020	B	`conf`	Cloud: A Platform to Launch Stealth Attacks. COMPSAC Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2020	J	`jnl`	Clustering Time Series Data through Autoencoder-based Deep Learning Models. CoRR Neda Tavakoli, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin
2020	B	`conf`	Compliance Requirements Checking in Variable Environments. COMPSAC Sara Sartoli, Sepideh Ghanavati, Akbar Siami Namin
2020	J	`jnl`	Cyber-Attack Consequence Prediction. CoRR Prerit Datta, Natalie R. Lodinger, Akbar Siami Namin, Keith S. Jones
2020	J	`jnl`	Detection of Coincidentally Correct Test Cases through Random Forests. CoRR Shuvalaxmi Dass, Xiaozhen Xue, Akbar Siami Namin
2020	—	`conf`	Email Embeddings for Phishing Detection. IEEE BigData Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones
2020	B	`conf`	Ensemble Learning for Detecting Fake Reviews. COMPSAC Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
2020	B	`conf`	Ensemble Random Forests Classifier for Detecting Coincidentally Correct Test Cases. COMPSAC Shuvalaxmi Dass, Xiaozhen Xue, Akbar Siami Namin
2020	B	`conf`	Evolutionary Algorithms for Vulnerability Coverage. COMPSAC Shuvalaxmi Dass, Akbar Siami Namin
2020	J	`jnl`	Fake Reviews Detection through Analysis of Linguistic Features. CoRR Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
2020	J	`jnl`	Fake Reviews Detection through Ensemble Learning. CoRR Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
2020	J	`jnl`	Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition. CoRR Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink
2020	J	`jnl`	Knowledge, Skills, and Abilities for Specialized Curricula in Cyber Defense: Results from Interviews with Cyber Professionals. ACM Trans. Comput. Educ. Miriam E. Armstrong, Keith S. Jones, Akbar Siami Namin, David C. Newton
2020	J	`jnl`	Launching Stealth Attacks using Cloud. CoRR Moitrayee Chatterjee, Prerit Datta, Faranak Abri, Akbar Siami Namin, Keith S. Jones
2020	C	`conf`	Linguistic Features for Detecting Fake Reviews. ICMLA Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
2020	C	`conf`	Optimizing CNN using Fast Fourier Transformation for Object Recognition. ICMLA Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink
2020	J	`jnl`	Phishing Detection through Email Embeddings. CoRR Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones
2020	—	`conf`	Predicting Consequences of Cyber-Attacks. IEEE BigData Prerit Datta, Natalie R. Lodinger, Akbar Siami Namin, Keith S. Jones
2020	—	`conf`	Predicting Emotions Perceived from Sounds. IEEE BigData Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones
2020	J	`jnl`	Predicting Emotions Perceived from Sounds. CoRR Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones
2020	—	`conf`	Towards Variability-Aware Legal-GRL Framework for Modeling Compliance Requirements. ESPRE@RE Sara Sartoli, Sepideh Ghanavati, Akbar Siami Namin
2020	J	`jnl`	Vulnerability Coverage as an Adequacy Testing Criterion. CoRR Shuvalaxmi Dass, Akbar Siami Namin
2020	J	`jnl`	Vulnerability Coverage for Secure Configuration. CoRR Shuvalaxmi Dass, Akbar Siami Namin
2020	Misc	`conf`	Vulnerability coverage for adequacy security testing. SAC Shuvalaxmi Dass, Akbar Siami Namin
2019	J	`jnl`	A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM. CoRR Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
2019	J	`jnl`	A Survey on the Moving Target Defense Strategies: An Architectural Perspective. J. Comput. Sci. Technol. Jianjun Zheng, Akbar Siami Namin
2019	—	`conf`	Can Machine/Deep Learning Classifiers Detect Zero-Day Malware with High Accuracy? IEEE BigData Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin
2019	J	`jnl`	Deep Reinforcement Learning for Detecting Malicious Websites. CoRR Moitrayee Chatterjee, Akbar Siami Namin
2019	—	`conf`	Detecting Phishing Websites through Deep Reinforcement Learning. COMPSAC (2) Moitrayee Chatterjee, Akbar Siami Namin
2019	—	`conf`	Enforcing Optimal Moving Target Defense Policies. COMPSAC (1) Jianjun Zheng, Akbar Siami Namin
2019	J	`jnl`	Markov Decision Process to Enforce Moving Target Defence Policies. CoRR Jianjun Zheng, Akbar Siami Namin
2019	J	`jnl`	Modeling adaptive access control policies using answer set programming. J. Inf. Secur. Appl. Sara Sartoli, Akbar Siami Namin
2019	Misc	`conf`	TestLocal: just-in-time parametrized testing of local variables. SAC Marcel Heimlich, Akbar Siami Namin
2019	—	`conf`	The Performance of LSTM and BiLSTM in Forecasting Time Series. IEEE BigData Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
2019	J	`jnl`	The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities. CoRR Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin
2018	C	`conf`	A Comparison of ARIMA and LSTM in Forecasting Time Series. ICMLA Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
2018	A*	`conf`	A Markov Decision Process to Determine Optimal Policies in Moving Target. CCS Jianjun Zheng, Akbar Siami Namin
2018	—	`conf`	A Survey of Privacy Concerns in Wearable Devices. IEEE BigData Prerit Datta, Akbar Siami Namin, Moitrayee Chatterjee
2018	J	`jnl`	Assessing the Effectiveness of Coverage-Based Fault Localizations Using Mutants. Int. J. Softw. Eng. Knowl. Eng. Xiaozhen Xue, Sima Siami-Namini, Akbar Siami Namin
2018	J	`jnl`	Continuous Authentications Using Frequent English Terms. Appl. Artif. Intell. Alaa Darabseh, Sima Siami-Namini, Akbar Siami Namin
2018	—	`conf`	Defending SDN-based IoT Networks Against DDoS Attacks Using Markov Decision Process. IEEE BigData Jianjun Zheng, Akbar Siami Namin
2018	—	`conf`	Detecting Web Spams Using Evidence Theory. COMPSAC (2) Moitrayee Chatterjee, Akbar Siami Namin
2018	—	`conf`	Evidence Fusion for Malicious Bot Detection in IoT. IEEE BigData Moitrayee Chatterjee, Akbar Siami Namin, Prerit Datta
2018	J	`jnl`	Forecasting Economics and Financial Time Series: ARIMA vs. LSTM. CoRR Sima Siami-Namini, Akbar Siami Namin
2018	A	`conf`	MalViz: an interactive visualization tool for tracing malware. ISSTA Vinh The Nguyen, Akbar Siami Namin, Tommy Dang
2018	B	`conf`	Smart and Connected Water Resource Management Via Social Media and Community Engagement. ASONAM Long Hoang Nguyen, Rattikorn Hewett, Akbar Siami Namin, Nicholas Alvarez, Cristina Bradatan, Fang Jin
2018	J	`jnl`	Testing Multi-Threaded Applications Using Answer Set Programming. Int. J. Softw. Eng. Knowl. Eng. Xiaozhen Xue, Sima Siami-Namini, Akbar Siami Namin
2018	J	`jnl`	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. Keith S. Jones, Akbar Siami Namin, Miriam E. Armstrong
2018	J	`jnl`	The Sounds of Cyber Threats. CoRR Akbar Siami Namin, Rattikorn Hewett, Keith S. Jones, Rona L. Pogrund
2018	A	`conf`	What Vulnerability Assessment and Management Cybersecurity Professionals Think Their Future Colleagues Need to Know: (Abstract Only). SIGCSE Miriam E. Armstrong, Keith S. Jones, Akbar Siami Namin, David C. Newton
2017	J	`jnl`	A Clustering-Based Test Case Classification Technique for Enhancing Regression Testing. J. Softw. Yulei Pang, Xiaozhen Xue, Akbar Siami Namin
2017	Misc	`conf`	A semantic model for action-based adaptive security. SAC Sara Sartoli, Akbar Siami Namin
2017	J	`jnl`	Fault Localizations Through Feature Selections. Int. J. Softw. Eng. Knowl. Eng. Yulei Pang, Xiaozhen Xue, Akbar Siami Namin
2017	A	`conf`	What Should Cybersecurity Students Learn in School?: Results from Interviews with Cyber Professionals (Abstract Only). SIGCSE Keith S. Jones, Akbar Siami Namin, Miriam Armstrong
2016	B	`conf`	Adaptive Reasoning for Context-Sensitive Access Controls. COMPSAC Sara Sartoli, Akbar Siami Namin
2016	B	`conf`	Adaptive Reasoning in the Presence of Imperfect Security Requirements. COMPSAC Sara Sartoli, Akbar Siami Namin
2016	C	`conf`	Early Identification of Vulnerable Software Components via Ensemble Learning. ICMLA Yulei Pang, Xiaozhen Xue, Akbar Siami Namin
2016	J	`jnl`	Internet Use and Cybersecurity Concerns of Individuals with Visual Impairments. J. Educ. Technol. Soc. Fethi A. Inan, Akbar Siami Namin, Rona L. Pogrund, Keith S. Jones
2016	—	`conf`	Sonifying Internet Security Threats. CHI Extended Abstracts Akbar Siami Namin, Rattikorn Hewett, Keith S. Jones, Rona L. Pogrund
2016	—	`conf`	The Impact of Address Changes and Host Diversity on the Effectiveness of Moving Target Defense Strategy. COMPSAC Workshops Jianjun Zheng, Akbar Siami Namin
2015	J	`jnl`	Debugging in Parallel or Sequential: An Empirical Study. J. Softw. Yulei Pang, Xiaozhen Xue, Akbar Siami Namin
2015	C	`conf`	Effective User Authentications Using Keystroke Dynamics Based on Feature Selections. ICMLA Alaa Darabseh, Akbar Siami Namin
2015	—	`conf`	Keystroke Active Authentications Based on Most Frequently Used Words. IWSPA@CODASPY Alaa Darabseh, Akbar Siami Namin
2015	J	`jnl`	MuRanker: a mutant ranking tool. Softw. Test. Verification Reliab. Akbar Siami Namin, Xiaozhen Xue, Omar Rosas, Pankaj Sharma
2015	C	`conf`	On Accuracy of Classification-Based Keystroke Dynamics for Continuous User Authentication. CW Alaa Darabseh, Akbar Siami Namin
2015	—	`conf`	On Accuracy of Keystroke Authentications Based on Commonly Used English Words. BIOSIG Alaa Darabseh, Akbar Siami Namin
2015	—	`conf`	Poster: Reasoning Based on Imperfect Context Data in Adaptive Security. ICSE (2) Sara Sartoli, Akbar Siami Namin
2015	C	`conf`	Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection. ICMLA Yulei Pang, Xiaozhen Xue, Akbar Siami Namin
2015	C	`conf`	Statistical Fault Localization Based on Importance Sampling. ICMLA Akbar Siami Namin
2014	C	`conf`	Feature Selections for Effectively Localizing Faulty Events in GUI Applications. ICMLA Xiaozhen Xue, Yulei Pang, Akbar Siami Namin
2014	—	`conf`	The accuracy of user authentication through keystroke features using the most frequent words. CISR Alaa Darabseh, Akbar Siami Namin
2014	B	`conf`	Trimming Test Suites with Coincidentally Correct Test Cases for Enhancing Fault Localizations. COMPSAC Xiaozhen Xue, Yulei Pang, Akbar Siami Namin
2013	A	`conf`	How Significant is the Effect of Fault Interactions on Coverage-Based Fault Localizations? ESEM Xiaozhen Xue, Akbar Siami Namin
2013	—	`conf`	Identifying Effective Test Cases through K-Means Clustering for Enhancing Regression Testing. ICMLA (2) Yulei Pang, Xiaozhen Xue, Akbar Siami Namin
2013	Misc	`conf`	Measuring the Odds of Statements Being Faulty. Ada-Europe Xiaozhen Xue, Akbar Siami Namin
2012	—	`conf`	An Energy Model for Applications Running on Multicore Systems. CGC Delbert Bonner, Akbar Siami Namin
2011	—	`conf`	An Evaluation of Mutation and Data-Flow Testing: A Meta-analysis. ICST Workshops Sahitya Kakarla, Selina Momotaz, Akbar Siami Namin
2011	—	`conf`	Paraµ - A Partial and Higher-Order Mutation Tool with Concurrency Operators. ICST Workshops Pratyusha Madiraju, Akbar Siami Namin
2011	A	`conf`	The use of mutation in testing experiments and its sensitivity to external threats. ISSTA Akbar Siami Namin, Sahitya Kakarla
2010	—	`conf`	Bayesian methods for data analysis in software engineering. ICSE (2) Mohan Sridharan, Akbar Siami Namin
2010	—	`conf`	Bayesian reasoning for software testing. FoSER Akbar Siami Namin, Mohan Sridharan
2010	—	`conf`	Predicting multi-core performance: a case study using Solaris containers. IWMSE@ICSE Akbar Siami Namin, Mohan Sridharan, Pulkit Tomar
2010	A	`conf`	Prioritizing Mutation Operators Based on Importance Sampling. ISSRE Mohan Sridharan, Akbar Siami Namin
2010	A	`conf`	The influence of environmental parameters on concurrency fault exposures: an exploratory study. ESEM Sahitya Kakarla, Akbar Siami Namin
2009	A	`conf`	The influence of size and coverage on test suite effectiveness. ISSTA Akbar Siami Namin, James H. Andrews
2008	A*	`conf`	Sufficient mutation operators for measuring test effectiveness. ICSE Akbar Siami Namin, James H. Andrews, Duncan J. Murdoch
2007	—	`conf`	On Sufficiency of Mutants. ICSE Companion Akbar Siami Namin, James H. Andrews
2006	C	`conf`	An Efficient Trust Model for Multi-Agent Systems. CSCWD Akbar Siami Namin, Ruizhong Wei, Weiming Shen, Hamada H. Ghenniwa
2006	J	`jnl`	Implementing enterprise collaboration using web services and software agents. Int. J. Netw. Virtual Organisations Akbar Siami Namin, Weiming Shen, Hamada H. Ghenniwa
2006	J	`jnl`	Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria. IEEE Trans. Software Eng. James H. Andrews, Lionel C. Briand, Yvan Labiche, Akbar Siami Namin
2005	—	`conf`	Applying secret sharing schemes to service reputation. CSCWD (2) Akbar Siami Namin, Ruizhong Wei, Weiming Shen, Hamada H. Ghenniwa
2004	—	`conf`	Web Services/Agent-Based Model for Inter-Enterprise Collaboration. BASYS Akbar Siami Namin, Weiming Shen, Hamada H. Ghenniwa