Two-tier network anomaly detection model: a machine learning approach. - Hamed Haddad Pajouh; Gholamhossein Dastghaibyfard; Sattar Hashemi (J. Intell. Inf. Syst., 2017)

A deep Recurrent Neural Network based approach for Internet of Things malware threat hunting. - Hamed Haddad Pajouh; Ali Dehghantanha; Raouf Khayami; Kim-Kwang Raymond Choo (Future Gener. Comput. Syst., 2018)

Intelligent OS X malware threat detection with code inspection. - Hamed Haddad Pajouh; Ali Dehghantanha; Raouf Khayami; Kim-Kwang Raymond Choo (J. Comput. Virol. Hacking Tech., 2018)

A Cyber Kill Chain Based Analysis of Remote Access Trojans. - Reyhaneh HosseiniNejad; Hamed Haddad Pajouh; Ali Dehghantanha; Reza M. Parizi (Handbook of Big Data and IoT Security, 2019)

A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks. - Hamed Haddad Pajouh; Reza Javidan; Raouf Khayami; Ali Dehghantanha; Kim-Kwang Raymond Choo (IEEE Trans. Emerg. Top. Comput., 2019)

Industrial Big Data Analytics: Challenges and Opportunities. - Abdulrahman Al-Abassi; Hadis Karimipour; Hamed Haddad Pajouh; Ali Dehghantanha; Reza M. Parizi (Handbook of Big Data Privacy, 2020)

RAT Hunter: Building Robust Models for Detecting Remote Access Trojans Based on Optimum Hybrid Features. - Mohammad Mehdi BehradFar; Hamed HaddadPajouh; Ali Dehghantanha; Amin Azmoodeh; Hadis Karimipour; Reza M. Parizi; Gautam Srivastava 001 (Handbook of Big Data Privacy, 2020)

Malware Elimination Impact on Dynamic Analysis: An Experimental Machine Learning Approach. - Mohammad Nassiri; Hamed HaddadPajouh; Ali Dehghantanha; Hadis Karimipour; Reza M. Parizi; Gautam Srivastava 001 (Handbook of Big Data Privacy, 2020)

A Hybrid Deep Generative Local Metric Learning Method for Intrusion Detection. - Mahdis Saharkhizan; Amin Azmoodeh; Hamed HaddadPajouh; Ali Dehghantanha; Reza M. Parizi; Gautam Srivastava 001 (Handbook of Big Data Privacy, 2020)

Artificial Intelligence and Security of Industrial Control Systems. - Suby Singh; Hadis Karimipour; Hamed HaddadPajouh; Ali Dehghantanha (Handbook of Big Data Privacy, 2020)

MVFCC: A Multi-View Fuzzy Consensus Clustering Model for Malware Threat Attribution. - Hamed Haddad Pajouh; Amin Azmoodeh; Ali Dehghantanha; Reza M. Parizi (IEEE Access, 2020)

Cryptocurrency malware hunting: A deep Recurrent Neural Network approach. - Abbas Yazdinejad; Hamed HaddadPajouh; Ali Dehghantanha; Reza M. Parizi; Gautam Srivastava 001; Mu-Yen Chen (Appl. Soft Comput., 2020)

AI4SAFE-IoT: an AI-powered secure architecture for edge layer of Internet of things. - Hamed HaddadPajouh; Raouf Khayami; Ali Dehghantanha; Kim-Kwang Raymond Choo; Reza M. Parizi (Neural Comput. Appl., 2020)

A survey on internet of things security: Requirements, challenges, and solutions. - Hamed HaddadPajouh; Ali Dehghantanha; Reza M. Parizi; Mohammed Aledhari; Hadis Karimipour (Internet Things, 2021)

A Multikernel and Metaheuristic Feature Selection Approach for IoT Malware Threat Hunting in the Edge Layer. - Hamed HaddadPajouh; Alireza Mohtadi; Ali Dehghantanha; Hadis Karimipour; Xiaodong Lin 001; Kim-Kwang Raymond Choo (IEEE Internet Things J., 2021)

VQR: vulnerability analysis in quadratic residues-based authentication protocols. - Meysam Ghahramani; Hamed HaddadPajouh; Reza Javidan; Saru Kumari (J. Ambient Intell. Humaniz. Comput., 2023)