Current Students:

- Zahra Janfada, PhD (joint supervisor: Dr. Hosseini Seno), commenced in September 2023.

- Dhamyaa Humairi, PhD, commenced in September 2022.

- Mohammad Ghahri, MSc, commenced in September 2022.

- Mohammad Amin Rahimi, MSc, commenced in September 2022.

- Mehdi Rahimnia, MSc, commenced in September 2022.

- Morteza Khorramdel, MSc, commenced in September 2022.

- Mohammadreza Arab Ameri, MSc, commenced in September 2021.

- Zahra Karimi, MSc, commenced in September 2019.

- Tahereh Nayerifard, PhD (joint supervisor: Dr. Ghaemi Bafghi), commenced in September 2018.

- Hamid Karimkhani, PhD (joint supervisor: Dr. Ghaemi Bafghi), commenced in September 2018.

- Ala Ekramifard, PhD (joint supervisor: Dr. Hosseini Seno), Security of IoT, commenced in September 2017.

 

Past Students:

- Farnaz kamranfar, MSc, ' Designing a Decentralized Role Based Access Control for Smart Health Systems' graduated in September 2023.

- Mahdieh Talebzadeh, MSc, 'Decentralized IA-enabled Quality Control in Online Participatory Systems', graduated in September 2023.

- Seyed Javad Bozorgzadeh Razavi, MSc, 'A Novel Worker Recruitment Method Based on Clarity and Fairness of Requester', graduated in September 2022.

- Farideh Parastar, MSc, 'Privacy Preserving Person Tracking and Counting in Video Analytics with Edge Computing', graduated in September 2022.

- Nedhal Ahmed (International), PhD, 'Signature-Based Intrusion Detection Using Shallow Neural Networks', graduated in February 2022.

 - Salar Ghazi, MSc, Performance and Security Improvements and Prediction of Block Creation Delay in Monitor Nodes in The Trustchain, graduated in September 2021.

- Fariba Abedinzadeh, 'A Novel Quality Assessment Model for Asynchronous Collaborative Content Generation systems', graduated in September 2021.

- Wael Ibrahim, MSc, 'A multi-stage intrusion detection model for attacks with few training data', graduated in September 2021.

- Reham Althabhawi, 'Network intrusion detection using an improved crow search optimization algorithm and feature selection', graduated in Septembwer 2021. 

- Noor Al-sahlanee, MSc, 'Credit card fraud detection by combining neural network and optimization algorithm', graduated in September 2021.

Dhamyaa Humairi, MSc, 'Provide a secure authentication method based on certificateless encryption and based on fog computing to ensure safety in calculating the reputation of devices in the internet of things', graduated in September 2020.

- Wurood Murad, MSc, 'Ontology-based trust management model for dynamic distributed networks', graduated in September 2020.

 -  Mahdi Nikooghadam, MSc, 'A secure and efficient scheme for storing, sharing, and accessing medical data stored on cloud service providers', graduated  in September 2020.  

- Ahmad Fahim Maqsodi, MSc, 'Detecting anomalies in the IoT using autoencoder neural networks', graduated in September 2019.

- Hadis Kamal Gharibi, MSc, 'Design and Implementation of a Privacy-aware Framework for Cloud based Demand Response in Smart Grid', graduated in September 2019.

- Hassan Hellawi, MSc, 'Statistical Based Early Detection System of Multi-Rate DDoS Attacks Using Dynamic Window Size in QoS Environments', graduated in September 2019.

- Ammar Al-Saffar, MSc, 'IoT Smart City Lighting, Crisis Management Approach', graduated in October 2018.

- Hussain Ali Mousa, MSc, 'A Hybrid Multi-objective Genetic Algorithm for Scientific Workflow Scheduling', graduated in October 2018.

- Milad Davari, MSc, 'Recruitment in Participatory Sensing', graduated in August 2018.

- Ali Jaber Taresh, MSc, 'A New Remote Biometric User Identification Based on Sparse Coding for Secure Access to IoT Services', graduated in   August 2018.

- Ahmed Almusawi, MSc, ‘DNS Tunneling Detection Based On Multi-Label Support Vector Machine’, graduated in 2017.

- Fuqdan Al-Ibraheemi, MSc, ‘A Hybrid Method of Genetic Algorithm and Support Vector Machine for Intrusion Detection’,  graduated in 2017.

- Mushtaq Talb Tally, MSc, ‘DNS Tunneling Detection Based on Genetic Algorithm and Support Vector Machine’, graduated in 2017.