Sajjad Dadkhah
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
11
Active years
2017–2025
Best venue rank
C
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | PST | FragmentFool: Fragment-based Adversarial Perturbation for Graph Neural Network-based Vulnerability Detection. | Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Hiroaki Inoue, Takeshi Takahashi, Sajjad Dadkhah |
| 2025 | SOFTCOM | Enhancing IoT Security via Optimized Dual Chain-Channel Device Identification and Attack Detection Scheme. | Ogobuchi Daniel Okey, Demstenes Zegarra Rodrguez, Sajjad Dadkhah, Joo Henrique Kleinschmidt |
| 2024 | DBSEC | Enhancing EV Charging Station Security Using a Multi-dimensional Dataset: CICEVSE2024. | Emmanuel Dana Buedi, Ali A. Ghorbani, Sajjad Dadkhah, Raphael Ferreira |
| 2024 | Mobiquitous | Resilience Against APTs: A Provenance-Based IIoT Dataset for Cybersecurity Research. | Erfan Ghiasvand, Suprio Ray, Shahrear Iqbal, Sajjad Dadkhah, Ali A. Ghorbani |
| 2023 | HCI | Human-Centric Machine Learning: The Role of Users in the Development of IoT Device Identification and Vulnerability Assessment. | Priscilla Kyei Danso, Heather Molyneaux, Alireza Zohourian, Euclides Carlos Pinto Neto, Derrick Whalen, Sajjad Dadkhah, Ali A. Ghorbani |
| 2023 | PST | UCreDiSSiT: User Credibility Measurement incorporating Domain interest, Semantics in Social interactions, and Temporal factor. | Rashid Hussain Khokhar, Sajjad Dadkhah, Tianhao Zhao, Xichen Zhang, Ali A. Ghorbani |
| 2022 | FRUCT | Classification and Analysis of Adversarial Machine Learning Attacks in IoT: a Label Flipping Attack Case Study. | Mahdi Abrishami, Sajjad Dadkhah, Euclides Carlos Pinto Neto, Pulei Xiong, Shahrear Iqbal, Suprio Ray, Ali A. Ghorbani |
| 2022 | PST | Towards the Development of a Realistic Multidimensional IoT Profiling Dataset. | Sajjad Dadkhah, Hassan Mahdikhani, Priscilla Kyei Danso, Alireza Zohourian, Kevin Anh Truong, Ali A. Ghorbani |
| 2022 | PST | Collaborative DDoS Detection in Distributed Multi-Tenant IoT using Federated Learning. | Euclides Carlos Pinto Neto, Sajjad Dadkhah, Ali A. Ghorbani |
| 2021 | DASC | A feature exploration approach for IoT attack type classification. | Masoud Erfani, Farzaneh Shoeleh, Sajjad Dadkhah, Barjinder Kaur, Pulei Xiong, Shahrear Iqbal, Suprio Ray, Ali A. Ghorbani |
| 2021 | DASC | Robust Black-box Watermarking for Deep Neural Network using Inverse Document Frequency. | Mohammad Mehdi Yadollahi, Farzaneh Shoeleh, Sajjad Dadkhah, Ali A. Ghorbani |
| 2021 | HPCC | Behavioural Monitoring and Security Profiling in the Internet of Things (IoT). | Miraqa Safi, Barjinder Kaur, Sajjad Dadkhah, Farzaneh Shoeleh, Arash Habibi Lashkari, Heather Molyneaux, Ali A. Ghorbani |
| 2019 | CEC | Blockchain Scheme Based on Evolutionary Proof of Work. | Willa Ariela Syafruddin, Sajjad Dadkhah, Mario Kppen |
| 2017 | ICPRAM | Electromagnetismlike Mechanism Descriptor with Fourier Transform for a Passive Copy-move Forgery Detection in Digital Image Forensics. | Sajjad Dadkhah, Mario Kppen, Hamid Abdullah Jalab, Somayeh Sadeghi, Azizah Abdul Manaf, Diaa M. Uliyan |
| 2017 | IVCNZ | An efficient ward-based copy-move forgery detection method for digital image forensic. | Sajjad Dadkhah, Mario Kppen, Somayeh Sadeghi, Kaori Yoshida, Hamid Abdullah Jalab, Azizah Abdul Manaf |