Sajjad Dadkhah
Orcid: 0000-0002-3244-324X
According to our database1,
Sajjad Dadkhah authored at least 54 papers
between 2014 and 2026.
Collaborative distances:
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Bibliography
2026
A Lightweight Defense Mechanism against Next Generation of Phishing Emails using Distilled Attention-Augmented BiLSTM.
CoRR, February, 2026
Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANP.
CoRR, February, 2026
CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection.
CoRR, February, 2026
IEEE Trans. Reliab., 2026
Lightweight IDS Method for IoT Devices Traffic Monitoring Through Distilled Federated Knowledge on Decentralized Data.
IEEE Open J. Comput. Soc., 2026
CIC-YNU-IoTMal: A comprehensive multilayer dataset for static and dynamic analysis of IoT malware behavior.
Inf. Syst., 2026
Evaluating Generative Reasoning Models for Credential Tweaking and Lightweight Client-Side Defense in IoT Ecosystems.
IEEE Internet Things J., 2026
Explainable resource-Aware IoT security model via knowledge distillation and adaptive loss function optimization.
Expert Syst. Appl., 2026
2025
iPASecIoT: An intelligent pipeline for automatic and adaptive feature extraction for secure IoT device identification and intrusion detection.
Internet Things, 2025
Enhancing IoT Security via Optimized Dual Chain-Channel Device Identification and Attack Detection Scheme.
Proceedings of the International Conference on Software, 2025
FragmentFool: Fragment-based Adversarial Perturbation for Graph Neural Network-based Vulnerability Detection.
Proceedings of the 22nd Annual International Conference on Privacy, Security, and Trust, 2025
2024
IEEE Trans. Comput. Soc. Syst., August, 2024
IEEE Trans. Comput. Soc. Syst., June, 2024
IEEE Trans. Comput. Soc. Syst., February, 2024
Transferability of Machine Learning Algorithm for IoT Device Profiling and Identification.
IEEE Internet Things J., January, 2024
A review of Machine Learning (ML)-based IoT security in healthcare: A dataset perspective.
Comput. Commun., January, 2024
CICIoV2024: Advancing realistic IDS approaches against DoS and spoofing attack in IoV CAN bus.
Internet Things, 2024
Internet Things, 2024
IoT-PRIDS: Leveraging packet representations for intrusion detection in IoT networks.
Comput. Secur., 2024
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2024
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2024
Enhancing EV Charging Station Security Using a Multi-dimensional Dataset: CICEVSE2024.
Proceedings of the Data and Applications Security and Privacy XXXVIII, 2024
2023
CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment.
Sensors, July, 2023
Internet Things, July, 2023
Internet of Things (IoT) security dataset evolution: Challenges and future directions.
Internet Things, July, 2023
UCreDiSSiT: User Credibility Measurement incorporating Domain interest, Semantics in Social interactions, and Temporal factor.
Proceedings of the 20th Annual International Conference on Privacy, Security and Trust, 2023
Human-Centric Machine Learning: The Role of Users in the Development of IoT Device Identification and Vulnerability Assessment.
Proceedings of the HCI for Cybersecurity, Privacy and Trust, 2023
ImageFed: Practical Privacy Preserving Intrusion Detection System for In-Vehicle CAN Bus Protocol.
Proceedings of the 9th Intl Conference on Big Data Security on Cloud, 2023
2022
ACM Trans. Internet Things, 2022
An entity matching-based image topic verification framework for online fact-checking.
Int. J. Multim. Intell. Secur., 2022
Int. J. Inf. Comput. Secur., 2022
Collaborative DDoS Detection in Distributed Multi-Tenant IoT using Federated Learning.
Proceedings of the 19th Annual International Conference on Privacy, Security & Trust, 2022
Proceedings of the 19th Annual International Conference on Privacy, Security & Trust, 2022
Proceedings of the ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11, 2022
Classification and Analysis of Adversarial Machine Learning Attacks in IoT: a Label Flipping Attack Case Study.
Proceedings of the 32nd Conference of Open Innovations Association, 2022
2021
Robust Black-box Watermarking for Deep NeuralNetwork using Inverse Document Frequency.
CoRR, 2021
Appl. Soft Comput., 2021
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
Robust Black-box Watermarking for Deep Neural Network using Inverse Document Frequency.
Proceedings of the IEEE Intl Conf on Dependable, 2021
Proceedings of the IEEE Intl Conf on Dependable, 2021
Proceedings of the BDCAT '21: 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies, Leicester, United Kingdom, December 6, 2021
2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
State of the art in passive digital image forgery detection: copy-move image forgery.
Pattern Anal. Appl., 2018
Bad Ai: Investigating the Effect of Half-Toning Techniques on Unwanted Face Detection Systems.
Proceedings of the 9th IFIP International Conference on New Technologies, 2018
Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2018
Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2018
2017
An efficient ward-based copy-move forgery detection method for digital image forensic.
Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017
Electromagnetismlike Mechanism Descriptor with Fourier Transform for a Passive Copy-move Forgery Detection in Digital Image Forensics.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017
2014
Efficient Image Authentication and Tamper Localization Algorithm Using Active Watermarking.
Proceedings of the Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations, 2014
An effective SVD-based image tampering detection and self-recovery using active watermarking.
Signal Process. Image Commun., 2014
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014