50 citations · 253 across the 20 of their papers we have counts for
22 papers
Secret-Key Agreement Through Hidden Markov Modeling of Wavelet Scattering Embeddings
Nora Basha, Bechir Hamdaoui, Attila A. Yavuz +2
Secret-key generation and agreement based on wireless channel reciprocity offers a promising avenue for securing IoT networks. However, existing approaches predominantly rely on th…
Standing Firm in 5G: A Single-Round, Dropout-Resilient Secure Aggregation for Federated Learning
Yiwei Zhang, Rouzbeh Behnia, Imtiaz Karim +2
Federated learning (FL) is well-suited to 5G networks, where many mobile devices generate sensitive edge data. Secure aggregation protocols enhance privacy in FL by ensuring that i…
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security
Yiwei Zhang, Rouzbeh Behnia, Attila A. Yavuz +2
Federated learning (FL) enables collaborative model training while preserving user data privacy by keeping data local. Despite these advantages, FL remains vulnerable to privacy at…
An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models
Kasra Ahmadi, Rouzbeh Behnia, Reza Ebrahimi +4
Federated learning (FL) enhances privacy by keeping user data on local devices. However, emerging attacks have demonstrated that the updates shared by users during training can rev…
Securing 5G Bootstrapping: A Two-Layer IBS Authentication Protocol
Yilu Dong, Rouzbeh Behnia, Attila A. Yavuz +1
The lack of authentication during the initial bootstrapping phase between cellular devices and base stations allows attackers to deploy fake base stations and send malicious messag…
Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning
Yiwei Zhang, Rouzbeh Behnia, Attila A. Yavuz +2
Federated learning enables the collaborative learning of a global model on diverse data, preserving data locality and eliminating the need to transfer user data to a central server…
A Survey on AI/ML-Driven Intrusion and Misbehavior Detection in Networked Autonomous Systems: Techniques, Challenges and Opportunities
Opeyemi Ajibuwa, Bechir Hamdaoui, Attila A. Yavuz
AI/ML-based intrusion detection systems (IDSs) and misbehavior detection systems (MDSs) have shown great potential in identifying anomalies in the network traffic of networked auto…
Post-Quantum Hybrid Digital Signatures with Hardware-Support for Digital Twins
Saif E. Nouma, Attila A. Yavuz
Digital Twins (DT) virtually model cyber-physical objects using Internet of Things (IoT) components (e.g., sensors) to gather and process senstive information stored in the cloud.…
FROG: Forward-Secure Post-Quantum Signature
Attila A. Yavuz, Rouzbeh Behnia
Forward-secure signatures guarantee that the signatures generated before the compromise of private key remain secure, and therefore offer an enhanced compromise-resiliency for real…
Compatible Certificateless and Identity-Based Cryptosystems for Heterogeneous IoT
Rouzbeh Behnia, Attila A. Yavuz, Muslum Ozgur Ozmen +1
Certificates ensure the authenticity of users' public keys, however their overhead (e.g., certificate chains) might be too costly for some IoT systems like aerial drones. Certifica…
Ultra Lightweight Multiple-time Digital Signature for the Internet of Things Devices
Attila A. Yavuz, Muslum Ozgur Ozmen
Digital signatures are basic cryptographic tools to provide authentication and integrity in the emerging ubiquitous systems in which resource-constrained devices are expected to op…
TrustSAS: A Trustworthy Spectrum Access System for the 3.5 GHz CBRS Band
Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui
As part of its ongoing efforts to meet the increased spectrum demand, the Federal Communications Commission (FCC) has recently opened up 150 MHz in the 3.5 GHz band for shared wire…
Location Privacy in Cognitive Radios with Multi-Server Private Information Retrieval
Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui
Spectrum database-based cognitive radio networks (CRNs) have become the de facto approach for enabling unlicensed secondary users (SUs) to identify spectrum vacancies in channels o…
IoD-Crypt: A Lightweight Cryptographic Framework for Internet of Drones
Muslum Ozgur Ozmen, Rouzbeh Behnia, Attila A. Yavuz
Internet of Drones (IoD) is expected to play a central role in many civilian and military applications, that require sensitive and mission-critical information to be processed. It…
Dronecrypt - An Efficient Cryptographic Framework for Small Aerial Drones
Muslum Ozgur Ozmen, Attila A. Yavuz
Aerial drones are becoming an integral part of application domains including but not limited to, military operations, package delivery, construction, monitoring and search/rescue o…
Energy-Aware Digital Signatures for Embedded Medical Devices
Muslum Ozgur Ozmen, Attila A. Yavuz, Rouzbeh Behnia
Authentication is vital for the Internet of Things (IoT) applications involving sensitive data (e.g., medical and financial systems). Digital signatures offer scalable authenticati…
ARIS: Authentication for Real-Time IoT Systems
Rouzbeh Behnia, Muslum Ozgur Ozmen, Attila A. Yavuz
Efficient authentication is vital for IoT applications with stringent minimum-delay requirements (e.g., energy delivery systems). This requirement becomes even more crucial when th…
An Efficient Technique for Protecting Location Privacy of Cooperative Spectrum Sensing Users
Mohamed Grissa, Attila Yavuz, Bechir Hamdaoui
Cooperative spectrum sensing, despite its effectiveness in enabling dynamic spectrum access, suffers from location privacy threats, merely because secondary users (SUs)' sensing re…
LPOS: Location Privacy for Optimal Sensing in Cognitive Radio Networks
Mohamed Grissa, Attila Yavuz, Bechir Hamdaoui
Cognitive Radio Networks (CRNs) enable opportunistic access to the licensed channel resources by allowing unlicensed users to exploit vacant channel opportunities. One effective te…
Location Privacy Preservation in Database-Driven Wireless Cognitive Networks Through Encrypted Probabilistic Data Structures
Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui
In this paper, we propose new location privacy preserving schemes for database-driven cognitive radio networks that protect secondary users' (SUs) location privacy while allowing t…
Preserving the Location Privacy of Secondary Users in Cooperative Spectrum Sensing
Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui
Cooperative spectrum sensing, despite its effectiveness in enabling dynamic spectrum access, suffers from location privacy threats, merely because secondary users (SUs)' sensing re…
When the Hammer Meets the Nail: Multi-Server PIR for Database-Driven CRN with Location Privacy Assurance
Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui
We show that it is possible to achieve information theoretic location privacy for secondary users (SUs) in database-driven cognitive radio networks (CRNs) with an end-to-end delay…