Fatma S. Alrayes

26 papers Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Auto Encoder-Enhanced Stacked Ensemble for Intrusion Detection in Healthcare Networks. Comput. Mater. Continua Fatma S. Alrayes, Mohammed Zakariah, Mohammed K. Alzaylaee, Syed Umar Amin, Zafar Iqbal Khan
2025	J	`jnl`	Ensuring Zero Trust Security in Consumer Internet of Things Using Federated Learning-Based Attack Detection Model. IEEE Access Ali M. Al-Sharafi, Fatma S. Alrayes, Nuha Alruwais, Mohammed Maray, Asma Alshuhail, Abdulbasit A. Darem, Shoayee Dlaim Alotaibi, Mohammed Abdullah Al-Hagery
2025	J	`jnl`	Hybrid Cross-Temporal Contrastive Model with Spiking Energy-Efficient Network Intrusion Detection in IOMT. Int. J. Comput. Intell. Syst. Fatma S. Alrayes, Mohammed Zakariah, Syed Umar Amin, Zafar Iqbal Khan, Maha Helal
2025	J	`jnl`	Intrusion detection in IoT network using temporal wavelet augmented deep dense and LSTM auto-encoders. Int. J. Inf. Sec. Mohammed Zakariah, Syed Umar Amin, Fatma S. Alrayes, Abeer Alnuaim, Zafar Iqbal Khan
2025	J	`jnl`	Joint Encryption and Optimization for 6G MEC-Enabled IoT Networks. IEEE Access Manzoor Ahmed, Wali Ullah Khan, Fatma S. Alrayes, Yahia F. Said, Ali M. Al-Sharafi, Mi-Hye Kim, Khongorzul Dashdondov, Inam Ullah
2025	J	`jnl`	User profile visualisation for privacy awareness on Geo-Social Networks. J. Locat. Based Serv. Fatma S. Alrayes, Alia I. Abdelmoty, Waleed El-Geresy
2024	J	`jnl`	A Self-Attention-Based Deep Convolutional Neural Networks for IIoT Networks Intrusion Detection. IEEE Access Mohammed S. Alshehri, Oumaima Saidani, Fatma S. Alrayes, Saadullah Farooq Abbasi, Jawad Ahmad
2024	J	`jnl`	Distributed Multiclass Cyberattack Detection Using Golden Jackal Optimization With Deep Learning Model for Securing IoT Networks. IEEE Access Fatma S. Alrayes, Nadhem Nemri, Nouf Aljaffan, Asma Alshuhail, Asma Alhashmi, Ahmed Mahmud
2024	J	`jnl`	Intrusion Detection in IoT Systems Using Denoising Autoencoder. IEEE Access Fatma S. Alrayes, Mohammed Zakariah, Syed Umar Amin, Zafar Iqbal Khan, Maha Helal
2024	J	`jnl`	Network Security Enhanced with Deep Neural Network-Based Intrusion Detection System. Comput. Mater. Continua Fatma S. Alrayes, Mohammed Zakariah, Syed Umar Amin, Zafar Iqbal Khan, Jehad Saad Alqurni
2024	J	`jnl`	Optimizing Security Protocol: A Synergy of Bio-Inspired Planet Optimization Algorithm With Ensemble Learning-Based Attack Detection for Connected and Autonomous Vehicles. IEEE Access Fatma S. Alrayes, Mohammed Aljebreen, Mohammed Maray, Asma Alshuhail, Faheed A. F. Alenezi, Ahmed S. Salama
2023	J	`jnl`	Blockchain-Assisted Vehicle and Cargo Matching Using Optimal Fuzzy Restricted Boltzmann Machine in Autonomous Transport System. IEEE Access Latifah Almuqren, Fatma S. Alrayes, Munya A. Arasi, Fahad F. Alruwaili, Abdullah Mohamed, Mohammed Assiri
2023	J	`jnl`	Deep Neural Decision Forest (DNDF): A Novel Approach for Enhancing Intrusion Detection Systems in Network Traffic Analysis. Sensors Fatma S. Alrayes, Mohammed Zakariah, Maha Driss, Wadii Boulila
2023	J	`jnl`	Enhanced Gorilla Troops Optimizer with Deep Learning Enabled Cybersecurity Threat Detection. Comput. Syst. Sci. Eng. Fatma S. Alrayes, Najm Alotaibi, Jaber S. Alzahrani, Sana Alazwari, Areej Alhogail, Ali M. Al-Sharafi, Mahmoud Othman, Manar Ahmed Hamza
2023	J	`jnl`	Improved Radial Movement Optimization With Fuzzy Neural Network Enabled Anomaly Detection for IoT Assisted Smart Cities. IEEE Access Fatma S. Alrayes, Wafa Mtouaa, Sumayh S. Aljameel, Mashael S. Maashi, Mohammed Rizwanullah, Ahmed S. Salama
2023	J	`jnl`	Learning-Based Artificial Algae Algorithm with Optimal Machine Learning Enabled Malware Detection. Comput. Syst. Sci. Eng. Khaled M. Alalayah, Fatma S. Alrayes, Mohamed K. Nour, Khadija M. Alaidarous, Ibrahim M. Alwayle, Heba Mohsen, Ibrahim Abdulrab Ahmed, Mesfer Al Duhayyim
2023	J	`jnl`	Modified Equilibrium Optimization Algorithm With Deep Learning-Based DDoS Attack Classification in 5G Networks. IEEE Access Mohammed Aljebreen, Fatma S. Alrayes, Mohammed Maray, Sumayh S. Aljameel, Ahmed S. Salama, Abdelwahed Motwakel
2023	J	`jnl`	Optimal Deep Learning Based Intruder Identification in Industrial Internet of Things Environment. Comput. Syst. Sci. Eng. Khaled M. Alalayah, Fatma S. Alrayes, Jaber S. Alzahrani, Khadija M. Alaidarous, Ibrahim M. Alwayle, Heba Mohsen, Ibrahim Abdulrab Ahmed, Mesfer Al Duhayyim
2023	J	`jnl`	Red Kite Optimization Algorithm With Average Ensemble Model for Intrusion Detection for Secure IoT. IEEE Access Fahad F. Alruwaili, Mashael M. Asiri, Fatma S. Alrayes, Sumayh S. Aljameel, Ahmed S. Salama, Anwer Mustafa Hilal
2023	J	`jnl`	Remote Sensing Image Encryption Using Optimal Key Generation-Based Chaotic Encryption. Comput. Syst. Sci. Eng. Mesfer Al Duhayyim, Fatma S. Alrayes, Saud S. Alotaibi, Sana Alazwari, Nasser Allheeib, Ayman Yafoz, Raed Alsini, Amira Sayed A. Aziz
2022	J	`jnl`	Intelligent metaheuristics with optimal machine learning approach for malware detection on IoT-enabled maritime transportation systems. Expert Syst. J. Knowl. Eng. Mohammed Maray, Mohammed Alghamdi, Fatma S. Alrayes, Saud S. Alotaibi, Sana Alazwari, Rana Alabdan, Mesfer Al Duhayyim
2021	J	`jnl`	An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach. Future Internet Latifah Almuqren, Fatma S. Alrayes, Alexandra I. Cristea
2020	J	`jnl`	Modelling perceived risks to personal privacy from location disclosure on online social networks. Int. J. Geogr. Inf. Sci. Fatma S. Alrayes, Alia I. Abdelmoty, Waleed El-Geresy, George Theodorakopoulos
2017	—	`—`	Location privacy awareness on geo-social networks enhancing awareness with feedback solutions. Fatma S. Alrayes
2017	J	`jnl`	Towards Understanding Location Privacy Awareness on Geo-Social Networks. ISPRS Int. J. Geo Inf. Alia I. Abdelmoty, Fatma S. Alrayes
2016	—	`conf`	Towards Location Privacy Awareness on Geo-Social Networks. NGMAST Fatma S. Alrayes, Alia I. Abdelmoty

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.