| A two-layer dimension reduction and two-tier classification model for anomaly-based intrusion detection in IoT backbone networks HH Pajouh, R Javidan, R Khayami, A Dehghantanha, KKR Choo IEEE Transactions on Emerging Topics in Computing 7 (2), 314-323, 2016 | 394 | 2016 |
| A deep recurrent neural network based approach for internet of things malware threat hunting H HaddadPajouh, A Dehghantanha, R Khayami, KKR Choo Future Generation Computer Systems 85, 88-96, 2018 | 325 | 2018 |
| A survey on internet of things security: Requirements, challenges, and solutions H HaddadPajouh, A Dehghantanha, RM Parizi, M Aledhari, H Karimipour Internet of Things 14, 100129, 2021 | 183 | 2021 |
| Two-tier network anomaly detection model: a machine learning approach HH Pajouh, GH Dastghaibyfard, S Hashemi Journal of Intelligent Information Systems 48, 61-74, 2017 | 148 | 2017 |
| Cryptocurrency malware hunting: A deep recurrent neural network approach A Yazdinejad, H HaddadPajouh, A Dehghantanha, RM Parizi, ... Applied Soft Computing 96, 106630, 2020 | 84 | 2020 |
| Intelligent OS X malware threat detection with code inspection HH Pajouh, A Dehghantanha, R Khayami, KKR Choo Journal of Computer Virology and Hacking Techniques 14, 213-223, 2018 | 66 | 2018 |
| AI4SAFE-IoT: An AI-powered secure architecture for edge layer of Internet of things H HaddadPajouh, R Khayami, A Dehghantanha, KKR Choo, RM Parizi Neural Computing and Applications 32, 16119-16133, 2020 | 53 | 2020 |
| A multikernel and metaheuristic feature selection approach for IoT malware threat hunting in the edge layer H Haddadpajouh, A Mohtadi, A Dehghantanaha, H Karimipour, X Lin, ... IEEE Internet of Things Journal 8 (6), 4540-4547, 2020 | 31 | 2020 |
| MVFCC: A multi-view fuzzy consensus clustering model for malware threat attribution H Haddadpajouh, A Azmoodeh, A Dehghantanha, RM Parizi IEEE Access 8, 139188-139198, 2020 | 24 | 2020 |
| Industrial big data analytics: challenges and opportunities A Al-Abassi, H Karimipour, H HaddadPajouh, A Dehghantanha, RM Parizi Handbook of big data privacy, 37-61, 2020 | 21 | 2020 |
| A hybrid deep generative local metric learning method for intrusion detection M Saharkhizan, A Azmoodeh, H HaddadPajouh, A Dehghantanha, ... Handbook of Big Data Privacy, 343-357, 2020 | 18 | 2020 |
| Mobile forensics: A bibliometric analysis J Gill, I Okere, H HaddadPajouh, A Dehghantanha Cyber Threat Intelligence, 297-310, 2018 | 12 | 2018 |
| A cyber kill chain based analysis of remote access trojans R HosseiniNejad, H HaddadPajouh, A Dehghantanha, RM Parizi Handbook of big data and iot security, 273-299, 2019 | 10 | 2019 |
| Malware elimination impact on dynamic analysis: An experimental machine learning approach M Nassiri, H HaddadPajouh, A Dehghantanha, H Karimipour, RM Parizi, ... Handbook of Big Data Privacy, 359-370, 2020 | 9 | 2020 |
| Artificial intelligence and security of industrial control systems S Singh, H Karimipour, H HaddadPajouh, A Dehghantanha Handbook of Big Data Privacy, 121-164, 2020 | 5 | 2020 |
| RAT hunter: Building robust models for detecting remote access trojans based on optimum hybrid features MM BehradFar, H HaddadPajouh, A Dehghantanha, A Azmoodeh, ... Handbook of Big Data Privacy, 371-383, 2020 | 4 | 2020 |
| Ransomware threat detection: A deep learning approach K Marsh, H Haddadpajouh Handbook of Big Data Analytics and Forensics, 253-269, 2022 | 3 | 2022 |
| Artificial intelligence, important assistant of scientists and physicians A Karimi, H HaddadPajouh Galen Medical Journal 9, e2048-e2048, 2020 | 1 | 2020 |
| An Investigation on the Use of Expert Systems in Developing Web-Based Fitness Exercise Plan Generator A Darejeh, HH Pajouh, A Darejeh Int. Rev. Comput. Softw.(IRECOS) 9, 1442-1448, 2014 | 1 | 2014 |
Ali DehghantanhaCanada Research Chair in Cybersecurity & Threat Intelligence - University of Guelph, ON, CanadaAdresă de e-mail confirmată pe uoguelph.ca
