Sajjad Dadkhah

51 papers B 2C 7Misc 3Journal 27Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Lightweight Defense Mechanism against Next Generation of Phishing Emails using Distilled Attention-Augmented BiLSTM. CoRR Morteza Eskandarian, Mahdi Rabbani, Arun Kaniyamattam, Fatemeh Nejati, Mansur Mirani, Gunjan Piya, Igor V. Opushnyev, Ali A. Ghorbani, Sajjad Dadkhah
2026	J	`jnl`	CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection. CoRR Fatemeh Nejati, Mahdi Rabbani, Morteza Eskandarian, Mansur Mirani, Gunjan Piya, Igor V. Opushnyev, Ali A. Ghorbani, Sajjad Dadkhah
2026	J	`jnl`	CIC-YNU-IoTMal: A comprehensive multilayer dataset for static and dynamic analysis of IoT malware behavior. Inf. Syst. Sajjad Dadkhah, Ogobuchi Daniel Okey, Sebin Abraham Maret, Yen-Wu Lo, Amir Firouzi, Ryu Kuki, Takayuki Sasaki, Katsunari Yoshioka, Tao Ban, Seiichi Ozawa, Ali A. Ghorbani
2026	J	`jnl`	Explainable resource-Aware IoT security model via knowledge distillation and adaptive loss function optimization. Expert Syst. Appl. Ogobuchi Daniel Okey, Sajjad Dadkhah, Demóstenes Zegarra Rodríguez, João Henrique Kleinschmidt
2026	J	`jnl`	Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANP. CoRR Zeynab Anbiaee, Mahdi Rabbani, Mansur Mirani, Gunjan Piya, Igor V. Opushnyev, Ali A. Ghorbani, Sajjad Dadkhah
2026	J	`jnl`	URL2Path: A Robust Graph Learning Approach for Malicious URL Detection. IEEE Trans. Reliab. Mahdi Rabbani, Morteza Eskandarian, Mansur Mirani, Gunjan Piya, Igor V. Opushnyev, Rongxing Lu, Sajjad Dadkhah
2025	Misc	`conf`	Enhancing IoT Security via Optimized Dual Chain-Channel Device Identification and Attack Detection Scheme. SoftCOM Ogobuchi Daniel Okey, Demóstenes Zegarra Rodríguez, Sajjad Dadkhah, João Henrique Kleinschmidt
2025	C	`conf`	FragmentFool: Fragment-based Adversarial Perturbation for Graph Neural Network-based Vulnerability Detection. PST Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Hiroaki Inoue, Takeshi Takahashi, Sajjad Dadkhah
2025	J	`jnl`	iPASecIoT: An intelligent pipeline for automatic and adaptive feature extraction for secure IoT device identification and intrusion detection. Internet Things Ogobuchi Daniel Okey, Sajjad Dadkhah, Heather Molyneaux, Demóstenes Zegarra Rodríguez, João Henrique Kleinschmidt
2024	J	`jnl`	A review of Machine Learning (ML)-based IoT security in healthcare: A dataset perspective. Comput. Commun. Euclides Carlos Pinto Neto, Sajjad Dadkhah, Somayeh Sadeghi, Heather Molyneaux, Ali A. Ghorbani
2024	J	`jnl`	CICAPT-IIOT: A provenance-based APT attack dataset for IIoT environment. CoRR Erfan Ghiasvand, Suprio Ray, Shahrear Iqbal, Sajjad Dadkhah, Ali A. Ghorbani
2024	J	`jnl`	CICIoMT2024: A benchmark dataset for multi-protocol security assessment in IoMT. Internet Things Sajjad Dadkhah, Euclides Carlos Pinto Neto, Raphael Ferreira, Reginald C. Molokwu, Somayeh Sadeghi, Ali A. Ghorbani
2024	J	`jnl`	CICIoV2024: Advancing realistic IDS approaches against DoS and spoofing attack in IoV CAN bus. Internet Things Euclides Carlos Pinto Neto, Hamideh Taslimasa, Sajjad Dadkhah, Shahrear Iqbal, Pulei Xiong, Taufiq Rahman, Ali A. Ghorbani
2024	B	`conf`	Enhancing EV Charging Station Security Using a Multi-dimensional Dataset: CICEVSE2024. DBSec Emmanuel Dana Buedi, Ali A. Ghorbani, Sajjad Dadkhah, Raphael Ferreira
2024	J	`jnl`	IoT-PRIDS: Leveraging packet representations for intrusion detection in IoT networks. Comput. Secur. Alireza Zohourian, Sajjad Dadkhah, Heather Molyneaux, Euclides Carlos Pinto Neto, Ali A. Ghorbani
2024	J	`jnl`	MEFaND: A Multimodel Framework for Early Fake News Detection. IEEE Trans. Comput. Soc. Syst. Asma Sormeily, Sajjad Dadkhah, Xichen Zhang, Ali A. Ghorbani
2024	J	`jnl`	Multimodal Fake News Analysis Based on Image-Text Similarity. IEEE Trans. Comput. Soc. Syst. Xichen Zhang, Sajjad Dadkhah, Alexander Gerald Weismann, Mohammad Amin Kanaani, Ali A. Ghorbani
2024	C	`conf`	Resilience Against APTs: A Provenance-Based IIoT Dataset for Cybersecurity Research. MobiQuitous Erfan Ghiasvand, Suprio Ray, Shahrear Iqbal, Sajjad Dadkhah, Ali A. Ghorbani
2024	J	`jnl`	The Largest Social Media Ground-Truth Dataset for Real/Fake Content: TruthSeeker. IEEE Trans. Comput. Soc. Syst. Sajjad Dadkhah, Xichen Zhang, Alexander Gerald Weismann, Amir Firouzi, Ali A. Ghorbani
2024	—	`conf`	Traceability Measurement Analysis of Sustained Internet-Wide Scanners via Darknet. DSC Chansu Han, Akira Tanaka, Takeshi Takahashi, Sajjad Dadkhah, Ali A. Ghorbani, Tsung-Nan Lin
2024	J	`jnl`	Transferability of Machine Learning Algorithm for IoT Device Profiling and Identification. IEEE Internet Things J. Priscilla Kyei Danso, Sajjad Dadkhah, Euclides Carlos Pinto Neto, Alireza Zohourian, Heather Molyneaux, Rongxing Lu, Ali A. Ghorbani
2023	J	`jnl`	CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment. Sensors Euclides Carlos Pinto Neto, Sajjad Dadkhah, Raphael Ferreira, Alireza Zohourian, Rongxing Lu, Ali A. Ghorbani
2023	—	`conf`	Human-Centric Machine Learning: The Role of Users in the Development of IoT Device Identification and Vulnerability Assessment. HCI (35) Priscilla Kyei Danso, Heather Molyneaux, Alireza Zohourian, Euclides Carlos Pinto Neto, Derrick Whalen, Sajjad Dadkhah, Ali A. Ghorbani
2023	—	`conf`	ImageFed: Practical Privacy Preserving Intrusion Detection System for In-Vehicle CAN Bus Protocol. BigDataSecurity/HPSC/IDS Hamideh Taslimasa, Sajjad Dadkhah, Euclides Carlos Pinto Neto, Pulei Xiong, Shahrear Iqbal, Suprio Ray, Ali A. Ghorbani
2023	J	`jnl`	Internet of Things (IoT) security dataset evolution: Challenges and future directions. Internet Things Barjinder Kaur, Sajjad Dadkhah, Farzaneh Shoeleh, Euclides Carlos Pinto Neto, Pulei Xiong, Shahrear Iqbal, Philippe Lamontagne, Suprio Ray, Ali A. Ghorbani
2023	J	`jnl`	IoT Zigbee device security: A comprehensive review. Internet Things Alireza Zohourian, Sajjad Dadkhah, Euclides Carlos Pinto Neto, Hassan Mahdikhani, Priscilla Kyei Danso, Heather Molyneaux, Ali A. Ghorbani
2023	J	`jnl`	Security issues in Internet of Vehicles (IoV): A comprehensive survey. Internet Things Hamideh Taslimasa, Sajjad Dadkhah, Euclides Carlos Pinto Neto, Pulei Xiong, Suprio Ray, Ali A. Ghorbani
2023	C	`conf`	UCreDiSSiT: User Credibility Measurement incorporating Domain interest, Semantics in Social interactions, and Temporal factor. PST Rashid Hussain Khokhar, Sajjad Dadkhah, Tianhao Zhao, Xichen Zhang, Ali A. Ghorbani
2022	J	`jnl`	A Survey on IoT Profiling, Fingerprinting, and Identification. ACM Trans. Internet Things Miraqa Safi, Sajjad Dadkhah, Farzaneh Shoeleh, Hassan Mahdikhani, Heather Molyneaux, Ali A. Ghorbani
2022	J	`jnl`	An entity matching-based image topic verification framework for online fact-checking. Int. J. Multim. Intell. Secur. Xichen Zhang, Sajjad Dadkhah, Samaneh Mahdavifar, Rongxing Lu, Ali A. Ghorbani
2022	Misc	`conf`	Classification and Analysis of Adversarial Machine Learning Attacks in IoT: a Label Flipping Attack Case Study. FRUCT Mahdi Abrishami, Sajjad Dadkhah, Euclides Carlos Pinto Neto, Pulei Xiong, Shahrear Iqbal, Suprio Ray, Ali A. Ghorbani
2022	C	`conf`	Collaborative DDoS Detection in Distributed Multi-Tenant IoT using Federated Learning. PST Euclides Carlos Pinto Neto, Sajjad Dadkhah, Ali A. Ghorbani
2022	J	`jnl`	Data breach: analysis, countermeasures and challenges. Int. J. Inf. Comput. Secur. Xichen Zhang, Mohammad Mehdi Yadollahi, Sajjad Dadkhah, Haruna Isah, Duc-Phong Le, Ali A. Ghorbani
2022	—	`conf`	Threshold based Technique to Detect Anomalies using Log Files. ICMLT Toluwalope David Akande, Barjinder Kaur, Sajjad Dadkhah, Ali A. Ghorbani
2022	C	`conf`	Towards the Development of a Realistic Multidimensional IoT Profiling Dataset. PST Sajjad Dadkhah, Hassan Mahdikhani, Priscilla Kyei Danso, Alireza Zohourian, Kevin Anh Truong, Ali A. Ghorbani
2021	—	`conf`	A feature exploration approach for IoT attack type classification. DASC/PiCom/CBDCom/CyberSciTech Masoud Erfani, Farzaneh Shoeleh, Sajjad Dadkhah, Barjinder Kaur, Pulei Xiong, Shahrear Iqbal, Suprio Ray, Ali A. Ghorbani
2021	J	`jnl`	A real-time hostile activities analyses and detection system. Appl. Soft Comput. Sajjad Dadkhah, Farzaneh Shoeleh, Mohammad Mehdi Yadollahi, Xichen Zhang, Ali A. Ghorbani
2021	—	`conf`	Behavioural Monitoring and Security Profiling in the Internet of Things (IoT). HPCC/DSS/SmartCity/DependSys Miraqa Safi, Barjinder Kaur, Sajjad Dadkhah, Farzaneh Shoeleh, Arash Habibi Lashkari, Heather Molyneaux, Ali A. Ghorbani
2021	—	`conf`	Robust Black-box Watermarking for Deep Neural Network using Inverse Document Frequency. DASC/PiCom/CBDCom/CyberSciTech Mohammad Mehdi Yadollahi, Farzaneh Shoeleh, Sajjad Dadkhah, Ali A. Ghorbani
2021	J	`jnl`	Robust Black-box Watermarking for Deep NeuralNetwork using Inverse Document Frequency. CoRR Mohammad Mehdi Yadollahi, Farzaneh Shoeleh, Sajjad Dadkhah, Ali A. Ghorbani
2021	C	`conf`	Verification Based Scheme to Restrict IoT Attacks. BDCAT Barjinder Kaur, Sajjad Dadkhah, Pulei Xiong, Shahrear Iqbal, Suprio Ray, Ali A. Ghorbani
2019	B	`conf`	Blockchain Scheme Based on Evolutionary Proof of Work. CEC Willa Ariela Syafruddin, Sajjad Dadkhah, Mario Köppen
2018	—	`conf`	Bad Ai: Investigating the Effect of Half-Toning Techniques on Unwanted Face Detection Systems. NTMS Sajjad Dadkhah, Mario Koeppen, Somayeh Sadeghi, Kaori Yoshida
2018	—	`conf`	Correction to: Two-Factor Blockchain for Traceability Cacao Supply Chain. INCoS Andi Arniaty Arsyad, Sajjad Dadkhah, Mario Köppen
2018	J	`jnl`	State of the art in passive digital image forgery detection: copy-move image forgery. Pattern Anal. Appl. Somayeh Sadeghi, Sajjad Dadkhah, Hamid Abdullah Jalab, Giuseppe Mazzola, Diaa M. Uliyan
2018	—	`conf`	Two-Factor Blockchain for Traceability Cacao Supply Chain. INCoS Andi Arniaty Arsyad, Sajjad Dadkhah, Mario Köppen
2017	Misc	`conf`	An efficient ward-based copy-move forgery detection method for digital image forensic. IVCNZ Sajjad Dadkhah, Mario Köppen, Somayeh Sadeghi, Kaori Yoshida, Hamid Abdullah Jalab, Azizah Abdul Manaf
2017	C	`conf`	Electromagnetismlike Mechanism Descriptor with Fourier Transform for a Passive Copy-move Forgery Detection in Digital Image Forensics. ICPRAM Sajjad Dadkhah, Mario Köppen, Hamid Abdullah Jalab, Somayeh Sadeghi, Azizah Abdul Manaf, Diaa M. Uliyan
2014	—	`conf`	An Efficient Image Self-recovery and Tamper Detection Using Fragile Watermarking. ICIAR (1) Sajjad Dadkhah, Azizah Abd Manaf, Somayeh Sadeghi
2014	J	`jnl`	An effective SVD-based image tampering detection and self-recovery using active watermarking. Signal Process. Image Commun. Sajjad Dadkhah, Azizah Abd Manaf, Yoshiaki Hori, Aboul Ella Hassanien, Somayeh Sadeghi
2014	—	`ch.`	Efficient Image Authentication and Tamper Localization Algorithm Using Active Watermarking. Bio-inspiring Cyber Security and Cloud Services Sajjad Dadkhah, Azizah Abd Manaf, Somayeh Sadeghi

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.