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ORCIDHamed Haddad Pajouh
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2020 – today
- 2023
[j10]Meysam Ghahramani
, Hamed HaddadPajouh, Reza Javidan, Saru Kumari:
VQR: vulnerability analysis in quadratic residues-based authentication protocols. J. Ambient Intell. Humaniz. Comput. 14(6): 7559-7574 (2023)- 2021
- [j9]Hamed HaddadPajouh, Ali Dehghantanha, Reza M. Parizi, Mohammed Aledhari, Hadis Karimipour:
A survey on internet of things security: Requirements, challenges, and solutions. Internet Things 14: 100129 (2021) - [j8]Hamed HaddadPajouh, Alireza Mohtadi, Ali Dehghantanha, Hadis Karimipour, Xiaodong Lin, Kim-Kwang Raymond Choo:
A Multikernel and Metaheuristic Feature Selection Approach for IoT Malware Threat Hunting in the Edge Layer. IEEE Internet Things J. 8(6): 4540-4547 (2021) - 2020
- [j7]Hamed Haddad Pajouh, Amin Azmoodeh, Ali Dehghantanha, Reza M. Parizi:
MVFCC: A Multi-View Fuzzy Consensus Clustering Model for Malware Threat Attribution. IEEE Access 8: 139188-139198 (2020) - [j6]Abbas Yazdinejad, Hamed HaddadPajouh, Ali Dehghantanha, Reza M. Parizi, Gautam Srivastava, Mu-Yen Chen:
Cryptocurrency malware hunting: A deep Recurrent Neural Network approach. Appl. Soft Comput. 96: 106630 (2020) - [j5]Hamed HaddadPajouh, Raouf Khayami, Ali Dehghantanha, Kim-Kwang Raymond Choo, Reza M. Parizi:
AI4SAFE-IoT: an AI-powered secure architecture for edge layer of Internet of things. Neural Comput. Appl. 32(20): 16119-16133 (2020) - [p6]Abdulrahman Al-Abassi, Hadis Karimipour, Hamed Haddad Pajouh, Ali Dehghantanha, Reza M. Parizi:
Industrial Big Data Analytics: Challenges and Opportunities. Handbook of Big Data Privacy 2020: 37-61 - [p5]Suby Singh, Hadis Karimipour, Hamed HaddadPajouh, Ali Dehghantanha:
Artificial Intelligence and Security of Industrial Control Systems. Handbook of Big Data Privacy 2020: 121-164 - [p4]Mahdis Saharkhizan, Amin Azmoodeh, Hamed HaddadPajouh, Ali Dehghantanha, Reza M. Parizi, Gautam Srivastava:
A Hybrid Deep Generative Local Metric Learning Method for Intrusion Detection. Handbook of Big Data Privacy 2020: 343-357 - [p3]Mohammad Nassiri, Hamed HaddadPajouh, Ali Dehghantanha, Hadis Karimipour, Reza M. Parizi, Gautam Srivastava:
Malware Elimination Impact on Dynamic Analysis: An Experimental Machine Learning Approach. Handbook of Big Data Privacy 2020: 359-370 - [p2]Mohammad Mehdi BehradFar, Hamed HaddadPajouh, Ali Dehghantanha, Amin Azmoodeh, Hadis Karimipour, Reza M. Parizi, Gautam Srivastava:
RAT Hunter: Building Robust Models for Detecting Remote Access Trojans Based on Optimum Hybrid Features. Handbook of Big Data Privacy 2020: 371-383
2010 – 2019
- 2019
- [j4]Hamed Haddad Pajouh, Reza Javidan, Raouf Khayami, Ali Dehghantanha, Kim-Kwang Raymond Choo:
A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks. IEEE Trans. Emerg. Top. Comput. 7(2): 314-323 (2019) - [p1]Reyhaneh HosseiniNejad, Hamed Haddad Pajouh, Ali Dehghantanha, Reza M. Parizi:
A Cyber Kill Chain Based Analysis of Remote Access Trojans. Handbook of Big Data and IoT Security 2019: 273-299 - 2018
- [j3]Hamed Haddad Pajouh, Ali Dehghantanha, Raouf Khayami, Kim-Kwang Raymond Choo:
A deep Recurrent Neural Network based approach for Internet of Things malware threat hunting. Future Gener. Comput. Syst. 85: 88-96 (2018) - [j2]Hamed Haddad Pajouh, Ali Dehghantanha, Raouf Khayami, Kim-Kwang Raymond Choo:
Intelligent OS X malware threat detection with code inspection. J. Comput. Virol. Hacking Tech. 14(3): 213-223 (2018) - 2017
- [j1]Hamed Haddad Pajouh, Gholamhossein Dastghaibyfard, Sattar Hashemi:
Two-tier network anomaly detection model: a machine learning approach. J. Intell. Inf. Syst. 48(1): 61-74 (2017)
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