Saved in:
| Main Authors: | Alalade, Emmanuel, Matrawy, Ashraf |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.02455 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PTMF: A Privacy Threat Modeling Framework for IoT with Expert-Driven Threat Propagation Analysis
by: Alalade, Emmanuel Dare, et al.
Published: (2025)
by: Alalade, Emmanuel Dare, et al.
Published: (2025)
Privacy Engineering in Smart Home (SH) Systems: A Comprehensive Privacy Threat Analysis and Risk Management Approach
by: Alalade, Emmanuel Dare, et al.
Published: (2024)
by: Alalade, Emmanuel Dare, et al.
Published: (2024)
Systematic Survey on Privacy-Preserving Architectures for IoT and Vehicular Data Sharing: Techniques, Challenges, and Future Directions
by: Tran-Truong, Phat T., et al.
Published: (2026)
by: Tran-Truong, Phat T., et al.
Published: (2026)
Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems
by: ElShehaby, Mohamed, et al.
Published: (2025)
by: ElShehaby, Mohamed, et al.
Published: (2025)
A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?
by: elShehaby, Mohamed, et al.
Published: (2026)
by: elShehaby, Mohamed, et al.
Published: (2026)
Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap
by: Zaman, Zakia, et al.
Published: (2026)
by: Zaman, Zakia, et al.
Published: (2026)
Microbenchmarking Cloud Cryptographic Workloads for Privacy-Preserving Healthcare IoT
by: Webb, Jeremiah L., et al.
Published: (2026)
by: Webb, Jeremiah L., et al.
Published: (2026)
Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Systems, Especially Dynamic Ones
by: elShehaby, Mohamed, et al.
Published: (2023)
by: elShehaby, Mohamed, et al.
Published: (2023)
Privacy-Preserving Data in IoT-based Cloud Systems: A Comprehensive Survey with AI Integration
by: Dhinakaran, D., et al.
Published: (2024)
by: Dhinakaran, D., et al.
Published: (2024)
strideSEA: A STRIDE-centric Security Evaluation Approach
by: Jawad, Alvi, et al.
Published: (2025)
by: Jawad, Alvi, et al.
Published: (2025)
A Novel Perturb-ability Score to Mitigate Evasion Adversarial Attacks on Flow-Based ML-NIDS
by: elShehaby, Mohamed, et al.
Published: (2024)
by: elShehaby, Mohamed, et al.
Published: (2024)
Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption
by: Manh, Bui Duc, et al.
Published: (2024)
by: Manh, Bui Duc, et al.
Published: (2024)
Cybersecurity Challenge Analysis of Work-from-Anywhere (WFA) and Recommendations guided by a User Study
by: Mahyoub, Mohammed, et al.
Published: (2024)
by: Mahyoub, Mohammed, et al.
Published: (2024)
Privacy Preserving Anomaly Detection on Homomorphic Encrypted Data from IoT Sensors
by: Hangan, Anca, et al.
Published: (2024)
by: Hangan, Anca, et al.
Published: (2024)
Privacy-Preserving Healthcare Data in IoT: A Synergistic Approach with Deep Learning and Blockchain
by: Bezanjani, Behnam Rezaei, et al.
Published: (2025)
by: Bezanjani, Behnam Rezaei, et al.
Published: (2025)
MOZAIK: A Privacy-Preserving Analytics Platform for IoT Data Using MPC and FHE
by: Van Kenhove, Michiel, et al.
Published: (2026)
by: Van Kenhove, Michiel, et al.
Published: (2026)
Powering the Future of IoT: Federated Learning for Optimized Power Consumption and Enhanced Privacy
by: Shirvani, Ghazaleh, et al.
Published: (2024)
by: Shirvani, Ghazaleh, et al.
Published: (2024)
Privacy-Preserving Distributed Learning in IoT Systems: A Unified Threat Model and Evaluation Framework
by: Cartmell, John, et al.
Published: (2026)
by: Cartmell, John, et al.
Published: (2026)
Federated Learning-Enhanced Blockchain Framework for Privacy-Preserving Intrusion Detection in Industrial IoT
by: Ali, Anas, et al.
Published: (2025)
by: Ali, Anas, et al.
Published: (2025)
Feature-Oriented IoT Malware Analysis: Extraction, Classification, and Future Directions
by: Qian, Zhuoyun, et al.
Published: (2025)
by: Qian, Zhuoyun, et al.
Published: (2025)
LLMs' Suitability for Network Security: A Case Study of STRIDE Threat Modeling
by: AbdulGhaffar, AbdulAziz, et al.
Published: (2025)
by: AbdulGhaffar, AbdulAziz, et al.
Published: (2025)
AI-Protected Blockchain-based IoT environments: Harnessing the Future of Network Security and Privacy
by: Ruzbahani, Ali Mohammadi
Published: (2024)
by: Ruzbahani, Ali Mohammadi
Published: (2024)
Threat Modelling using Domain-Adapted Language Models: Empirical Evaluation and Insights
by: Pourhanifeh, Saba, et al.
Published: (2026)
by: Pourhanifeh, Saba, et al.
Published: (2026)
A Unified View of IoT And CPS Security and Privacy
by: Luo, Lan, et al.
Published: (2022)
by: Luo, Lan, et al.
Published: (2022)
Privacy-Preserving IoT in Connected Aircraft Cabin
by: Vyas, Nilesh, et al.
Published: (2025)
by: Vyas, Nilesh, et al.
Published: (2025)
LLM-Powered Analysis of IoT User Reviews: Tracking and Ranking Security and Privacy Concerns
by: Protick, Taufiq Islam, et al.
Published: (2026)
by: Protick, Taufiq Islam, et al.
Published: (2026)
Security and Privacy Management of IoT Using Quantum Computing
by: Sen, Jaydip
Published: (2025)
by: Sen, Jaydip
Published: (2025)
PrivLLMSwarm: Privacy-Preserving LLM-Driven UAV Swarms for Secure IoT Surveillance
by: Ayana, Jifar Wakuma, et al.
Published: (2025)
by: Ayana, Jifar Wakuma, et al.
Published: (2025)
Towards Sustainable IoT: Challenges, Solutions, and Future Directions for Device Longevity
by: Shirvani, Ghazaleh, et al.
Published: (2024)
by: Shirvani, Ghazaleh, et al.
Published: (2024)
Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance ML Robustness
by: elShehaby, Mohamed, et al.
Published: (2024)
by: elShehaby, Mohamed, et al.
Published: (2024)
Digital Privacy in IoT: Exploring Challenges, Approaches and Open Issues
by: Girija, Shini, et al.
Published: (2026)
by: Girija, Shini, et al.
Published: (2026)
Ransomware: Analysis and Evaluation of Live Forensic Techniques and the Impact on Linux based IoT Systems
by: Korac, Salko, et al.
Published: (2024)
by: Korac, Salko, et al.
Published: (2024)
PrivacyCube: Data Physicalization for Enhancing Privacy Awareness in IoT
by: Muhander, Bayan Al, et al.
Published: (2024)
by: Muhander, Bayan Al, et al.
Published: (2024)
Building Trust in Data for IoT Systems
by: Margaria, Davide, et al.
Published: (2024)
by: Margaria, Davide, et al.
Published: (2024)
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
by: Allana, Sonal, et al.
Published: (2025)
by: Allana, Sonal, et al.
Published: (2025)
Quantum-Edge Cloud Computing: A Future Paradigm for IoT Applications
by: Hossain, Mohammad Ikbal, et al.
Published: (2024)
by: Hossain, Mohammad Ikbal, et al.
Published: (2024)
DB-PAISA: Discovery-Based Privacy-Agile IoT Sensing+Actuation
by: Bagayatkar, Isita, et al.
Published: (2024)
by: Bagayatkar, Isita, et al.
Published: (2024)
Introduction to IoT
by: Ananna, Tajkia Nuri, et al.
Published: (2023)
by: Ananna, Tajkia Nuri, et al.
Published: (2023)
A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT
by: Mahmoud, Taha M., et al.
Published: (2025)
by: Mahmoud, Taha M., et al.
Published: (2025)
A Systematic Mapping Study on SDN Controllers for Enhancing Security in IoT Networks
by: Oredola, Charles, et al.
Published: (2024)
by: Oredola, Charles, et al.
Published: (2024)
Similar Items
-
PTMF: A Privacy Threat Modeling Framework for IoT with Expert-Driven Threat Propagation Analysis
by: Alalade, Emmanuel Dare, et al.
Published: (2025) -
Privacy Engineering in Smart Home (SH) Systems: A Comprehensive Privacy Threat Analysis and Risk Management Approach
by: Alalade, Emmanuel Dare, et al.
Published: (2024) -
Systematic Survey on Privacy-Preserving Architectures for IoT and Vehicular Data Sharing: Techniques, Challenges, and Future Directions
by: Tran-Truong, Phat T., et al.
Published: (2026) -
Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems
by: ElShehaby, Mohamed, et al.
Published: (2025) -
A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?
by: elShehaby, Mohamed, et al.
Published: (2026)