Fatima A. Asiri

17 papers Journal 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Lightweight Learning for Symbiotic Secure and Efficient ISAC in RIS-Assisted Intelligent Transportation Networks. IEEE Trans. Netw. Serv. Manag. Yifei Xie, Zhi Lin, Kefeng Guo, Ruiqian Ma, Hussam M. N. Al Hamadi, Fatima A. Asiri, Ahlam Almusharraf
2026	J	`jnl`	Shaping the future of cybersecurity: The convergence of AI, quantum computing, and ethical frameworks for a secure digital era. Comput. Sci. Rev. Menahil Khawar, Sohail Khalid, Mujeeb Ur Rehman, Aminu Bello Usman, Wajdan Al Malwi, Fatima A. Asiri
2025	J	`jnl`	A Practical Distortion Simulator for Screen-Shooting Resilient Image Watermarking in Consumer Electronic Applications. IEEE Trans. Consumer Electron. Yulin Zhang, Jiangqun Ni, Wajdan Al Malwi, Fatima A. Asiri, Jawad Ahmad, Donghua Jiang
2025	J	`jnl`	A Web 3.0 Approach for Forensic-Driven Secure Resource Allocation and Trajectory Optimization in UAV-Assisted MEC Network. IEEE Trans. Consumer Electron. Prakhar Consul, Rajeev Tiwari, Surbhi Bhatia Khan, Eid Albalawi, Fatima A. Asiri, Ahlam Almusharraf
2025	J	`jnl`	A Web 3.0 Integrated Blockchain Enabled Access System Augmented by Meta-Heuristic Cognitive Learning Framework for Mitigating Threats in IoT Enabled Consumer Electronic Devices. IEEE Trans. Consumer Electron. Etikala Aruna, Arun Sahayadhas, Ponugoti Kalpana, Surbhi Bhatia Khan, Mohammad Tabrez Quasim, Ahlam Almusharraf, Fatima A. Asiri
2025	J	`jnl`	AI-Driven Dynamic Resource Allocation for IoT Networks Using Graph-Convolutional Transformer and Hybrid Optimization. IET Softw. Patike Kiran Rao, Perumalla Suman Prakash, Sreenivasulu K., Surbhi Bhatia Khan, Fatima A. Asiri, Ahlam Almusharraf, Rubal Jeet
2025	J	`jnl`	Advanced human activity recognition on wearables with multi-scale sparse attention. Multim. Tools Appl. Anandhavalli Muniasamy, Fatima A. Asiri
2025	J	`jnl`	Customer preference analysis towards online shopping decisions based on optimized feature extraction. Expert Syst. J. Knowl. Eng. Weiguang Liu, Abdulmajeed Alqhatani, Fatima A. Asiri, Ely Salwana
2025	J	`jnl`	Empowering Consumer Healthcare Through Sensor-Rich Devices Using Federated Learning for Secure Resource Recommendation. IEEE Trans. Consumer Electron. Afifa Salsabil Fathima, Syed Muzamil Basha, Syed Thouheed Ahmed, Surbhi Bhatia Khan, Fatima A. Asiri, Shakila Basheer, Madhu Shukla
2025	J	`jnl`	Enhancing medical image privacy in IoT with bit-plane level encryption using chaotic map. Frontiers Comput. Neurosci. Fatima A. Asiri, Wajdan Al Malwi, Tamara Zhukabayeva, Ibtehal Nafea, Abdullah Aziz, Nadhmi A. Gazem, Abdullah Qayyum
2025	J	`jnl`	Knowledge Distillation for Lightweight and Explainable Intrusion Detection in Resource-Constrained Consumer Devices. IEEE Trans. Consumer Electron. Muhammad Umair, Muhammad Shahbaz Khan, Wajdan Al Malwi, Fatima A. Asiri, Ibtehal Nafea, Faisal Saeed, Jawad Ahmad
2025	J	`jnl`	MGNN-IDS: a multi-graph neural network approach for robust intrusion detection in the internet of things. Telecommun. Syst. Noha Alnazzawi, Fatima A. Asiri, Nazik Alturki, Laula Zhumabayeva, Saniya Zafar, Shahid Latif, Jawad Ahmad
2025	J	`jnl`	Mitigating Model Poisoning and Tampering in Consumer IoT With HMAC in Split Federated Learning. IEEE Trans. Consumer Electron. Shahid Latif, Jawad Ahmad, Wajdan Al Malwi, Fatima A. Asiri, Noha Alnazzawi, Jing Yang, Thippa Reddy Gadekallu
2025	J	`jnl`	Quality of Service-Aware 6G- Enabled NB-IoT for Health Monitoring in Long Distance High-Speed Trains. IEEE Trans. Consumer Electron. Bipasha Guha Roy, Deepsubhra Guha Roy, Piyali Datta, Surbhi Bhatia Khan, Fatima A. Asiri, Manel Ayadi
2024	J	`jnl`	Correction: The BCPM method: decoding breast cancer with machine learning. BMC Medical Imaging Badar Almarri, Gaurav Gupta, Ravinder Kumar, Vandana Vandana, Fatima A. Asiri, Surbhi Bhatia Khan
2024	J	`jnl`	Optimized Mirror Generative Adversarial Network with BERT Neural Architecture for Text Caption to Image Conversion. SN Comput. Sci. Ashish Sharma, Gaurav Sharma, Fatima A. Asiri, Javed Khan Bhutto, Abdulwasa Bakr Barnawi
2024	J	`jnl`	The BCPM method: decoding breast cancer with machine learning. BMC Medical Imaging Badar Almarri, Gaurav Gupta, Ravinder Kumar, Vandana Vandana, Fatima A. Asiri, Surbhi Bhatia Khan

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.