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Amin Azmoodeh
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2020 – today
- 2024
- [j9]Bardia Esmaeili
, Amin Azmoodeh, Ali Dehghantanha
A GNN-Based Adversarial Internet of Things Malware Detection Framework for Critical Infrastructure: Studying Gafgyt, Mirai, and Tsunami Campaigns. IEEE Internet Things J. 11(16): 26826-26836 (2024) - 2022
- [j8]Bardia Esmaeili
IIoT Deep Malware Threat Hunting: From Adversarial Example Detection to Adversarial Scenario Detection. IEEE Trans. Ind. Informatics 18(12): 8477-8486 (2022) - [c2]Mohammad Maghsoudimehrabani
Proactive Detection of Query-based Adversarial Scenarios in NLP Systems. AISec@CCS 2022: 103-113 - [i2]Amin Azmoodeh, Ali Dehghantanha:
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities. CoRR abs/2211.14667 (2022) - 2021
- [i1]Ali Dehghantanha, Hadis Karimipour, Amin Azmoodeh:
Cybersecurity in Smart Farming: Canada Market Research. CoRR abs/2104.05183 (2021) - 2020
- [j7]Hamed Haddad Pajouh
MVFCC: A Multi-View Fuzzy Consensus Clustering Model for Malware Threat Attribution. IEEE Access 8: 139188-139198 (2020) - [j6]Mahdis Saharkhizan, Amin Azmoodeh, Ali Dehghantanha
An Ensemble of Deep Recurrent Neural Networks for Detecting IoT Cyber Attacks Using Network Traffic. IEEE Internet Things J. 7(9): 8852-8859 (2020) - [j5]Hamid Darabian, Ali Dehghantanha, Sattar Hashemi, Mohammad Taheri
A multiview learning method for malware threat hunting: windows, IoT and android as case studies. World Wide Web 23(2): 1241-1260 (2020) - [p8]Amin Azmoodeh, Ali Dehghantanha
Big Data and Privacy: Challenges and Opportunities. Handbook of Big Data Privacy 2020: 1-5 - [p7]Wenyu Han, Amin Azmoodeh, Hadis Karimipour, Simon Yang:
Privacy Preserving Abnormality Detection: A Deep Learning Approach. Handbook of Big Data Privacy 2020: 285-303 - [p6]Mahdis Saharkhizan, Amin Azmoodeh, Hamed HaddadPajouh, Ali Dehghantanha
A Hybrid Deep Generative Local Metric Learning Method for Intrusion Detection. Handbook of Big Data Privacy 2020: 343-357 - [p5]Mohammad Mehdi BehradFar, Hamed HaddadPajouh, Ali Dehghantanha
RAT Hunter: Building Robust Models for Detecting Remote Access Trojans Based on Optimum Hybrid Features. Handbook of Big Data Privacy 2020: 371-383 - [p4]Amin Azmoodeh, Ali Dehghantanha
Active Spectral Botnet Detection Based on Eigenvalue Weighting. Handbook of Big Data Privacy 2020: 385-397 - [p3]Reza M. Parizi
Blockchain in Cybersecurity Realm: An Overview. Blockchain Cybersecurity, Trust and Privacy 2020: 1-5
2010 – 2019
- 2019
- [j4]Ensieh Modiri Dovom, Amin Azmoodeh
Fuzzy pattern tree for edge malware detection and categorization in IoT. J. Syst. Archit. 97: 1-7 (2019) - [j3]Amin Azmoodeh, Ali Dehghantanha
Robust Malware Detection for Internet of (Battlefield) Things Devices Using Deep Eigenspace Learning. IEEE Trans. Sustain. Comput. 4(1): 88-95 (2019) - [p2]Amin Azmoodeh, Ali Dehghantanha, Kim-Kwang Raymond Choo:
Big Data and Internet of Things Security and Forensics: Challenges and Opportunities. Handbook of Big Data and IoT Security 2019: 1-4 - [p1]Kimia Bolouri, Amin Azmoodeh, Ali Dehghantanha, Mohammad Firouzmand:
Internet of Things Camera Identification Algorithm Based on Sensor Pattern Noise Using Color Filter Array and Wavelet Transform. Handbook of Big Data and IoT Security 2019: 211-223 - 2018
- [j2]Amin Azmoodeh, Ali Dehghantanha
Detecting crypto-ransomware in IoT networks based on energy consumption footprint. J. Ambient Intell. Humaniz. Comput. 9(4): 1141-1152 (2018) - 2017
- [j1]Hashem Hashemi, Amin Azmoodeh, Ali Hamzeh
Graph embedding as a new approach for unknown malware detection. J. Comput. Virol. Hacking Tech. 13(3): 153-166 (2017) - 2013
- [c1]Amin Azmoodeh, Sattar Hashemi
To Boost Graph Clustering Based on Power Iteration by Removing Outliers. DaEng 2013: 249-258
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