To Boost Graph Clustering Based on Power Iteration by Removing Outliers. - Amin Azmoodeh; Sattar Hashemi (DaEng, 2013)

Graph embedding as a new approach for unknown malware detection. - Hashem Hashemi; Amin Azmoodeh; Ali Hamzeh; Sattar Hashemi (J. Comput. Virol. Hacking Tech., 2017)

Detecting crypto-ransomware in IoT networks based on energy consumption footprint. - Amin Azmoodeh; Ali Dehghantanha; Mauro Conti; Kim-Kwang Raymond Choo (J. Ambient Intell. Humaniz. Comput., 2018)

Big Data and Internet of Things Security and Forensics: Challenges and Opportunities. - Amin Azmoodeh; Ali Dehghantanha; Kim-Kwang Raymond Choo (Handbook of Big Data and IoT Security, 2019)

Internet of Things Camera Identification Algorithm Based on Sensor Pattern Noise Using Color Filter Array and Wavelet Transform. - Kimia Bolouri; Amin Azmoodeh; Ali Dehghantanha; Mohammad Firouzmand (Handbook of Big Data and IoT Security, 2019)

Fuzzy pattern tree for edge malware detection and categorization in IoT. - Ensieh Modiri Dovom; Amin Azmoodeh; Ali Dehghantanha; David Ellis Newton; Reza M. Parizi; Hadis Karimipour (J. Syst. Archit., 2019)

Robust Malware Detection for Internet of (Battlefield) Things Devices Using Deep Eigenspace Learning. - Amin Azmoodeh; Ali Dehghantanha; Kim-Kwang Raymond Choo (IEEE Trans. Sustain. Comput., 2019)

Big Data and Privacy: Challenges and Opportunities. - Amin Azmoodeh; Ali Dehghantanha (Handbook of Big Data Privacy, 2020)

Active Spectral Botnet Detection Based on Eigenvalue Weighting. - Amin Azmoodeh; Ali Dehghantanha; Reza M. Parizi; Sattar Hashemi; Bahram Gharabaghi; Gautam Srivastava 001 (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)

Privacy Preserving Abnormality Detection: A Deep Learning Approach. - Wenyu Han; Amin Azmoodeh; Hadis Karimipour; Simon Yang (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)

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)

An Ensemble of Deep Recurrent Neural Networks for Detecting IoT Cyber Attacks Using Network Traffic. - Mahdis Saharkhizan; Amin Azmoodeh; Ali Dehghantanha; Kim-Kwang Raymond Choo; Reza M. Parizi (IEEE Internet Things J., 2020)

A multiview learning method for malware threat hunting: windows, IoT and android as case studies. - Hamid Darabian; Ali Dehghantanha; Sattar Hashemi; Mohammad Taheri; Amin Azmoodeh; Sajad Homayoun; Kim-Kwang Raymond Choo; Reza M. Parizi (World Wide Web, 2020)

Blockchain in Cybersecurity Realm: An Overview. - Reza M. Parizi; Ali Dehghantanha; Amin Azmoodeh; Kim-Kwang Raymond Choo (Blockchain Cybersecurity, Trust and Privacy, 2020)

Cybersecurity in Smart Farming: Canada Market Research. - Ali Dehghantanha; Hadis Karimipour; Amin Azmoodeh (CoRR, 2021)

Proactive Detection of Query-based Adversarial Scenarios in NLP Systems. - Mohammad Maghsoudimehrabani; Amin Azmoodeh; Ali Dehghantanha; Behrouz Zolfaghari; Gautam Srivastava 001 (AISec@CCS, 2022)

Deep Fake Detection, Deterrence and Response: Challenges and Opportunities. - Amin Azmoodeh; Ali Dehghantanha (CoRR, 2022)

IIoT Deep Malware Threat Hunting: From Adversarial Example Detection to Adversarial Scenario Detection. - Bardia Esmaeili; Amin Azmoodeh; Ali Dehghantanha; Hadis Karimipour; Behrouz Zolfaghari; Mohammad Hammoudeh (IEEE Trans. Ind. Informatics, 2022)

A GNN-Based Adversarial Internet of Things Malware Detection Framework for Critical Infrastructure: Studying Gafgyt, Mirai, and Tsunami Campaigns. - Bardia Esmaeili; Amin Azmoodeh; Ali Dehghantanha; Gautam Srivastava 001; Hadis Karimipour; Jerry Chun-Wei Lin (IEEE Internet Things J., 2024)