Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Yavuz, Attila A."'
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. However, data privacy remains vulnerable, as attacks can target user
Externí odkaz:
http://arxiv.org/abs/2410.09676
Autor:
Nouma, Saif E., Yavuz, Attila A.
Digital signatures provide scalable authentication with non-repudiation and are vital tools for the Internet of Things (IoT). Many IoT applications harbor vast quantities of resource-limited devices often used with cloud computing. However, key compr
Externí odkaz:
http://arxiv.org/abs/2409.13937
Large-scale next-generation networked systems like smart grids and vehicular networks facilitate extensive automation and autonomy through real-time communication of sensitive messages. Digital signatures are vital for such applications since they of
Externí odkaz:
http://arxiv.org/abs/2409.10813
Autor:
Darzi, Saleh, Yavuz, Attila Altay
As network services progress and mobile and IoT environments expand, numerous security concerns have surfaced for spectrum access systems. The omnipresent risk of Denial-of-Service (DoS) attacks and raising concerns about user privacy (e.g., location
Externí odkaz:
http://arxiv.org/abs/2409.01924
Autor:
Darzi, Saleh, Yavuz, Attila A.
Given the rise in cyber threats to networked systems, coupled with the proliferation of AI techniques and enhanced processing capabilities, Denial of Service (DoS) attacks are becoming increasingly sophisticated and easily executable. They target sys
Externí odkaz:
http://arxiv.org/abs/2408.04725
The shift towards efficient and automated data analysis through Machine Learning (ML) has notably impacted healthcare systems, particularly Radiomics. Radiomics leverages ML to analyze medical images accurately and efficiently for precision medicine.
Externí odkaz:
http://arxiv.org/abs/2407.00538
The Medical Internet of Things (MIoT) harbors resource-limited medical embedded devices that collect security-sensitive data from users for analysis, monitoring, and diagnosis. Digital signatures play a foundational role in ensuring the authenticatio
Externí odkaz:
http://arxiv.org/abs/2311.18674
Threshold digital signatures enable a distributed execution of signature functionalities and will play a crucial role in the security of emerging decentralized next-generation networked systems and applications. In this paper, we provide a comprehens
Externí odkaz:
http://arxiv.org/abs/2311.05514
The rise of quantum computers exposes vulnerabilities in current public key cryptographic protocols, necessitating the development of secure post-quantum (PQ) schemes. Hence, we conduct a comprehensive study on various PQ approaches, covering the con
Externí odkaz:
http://arxiv.org/abs/2310.12037
Autor:
Nouma, Saif E., Yavuz, Attila A.
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. Trustworthiness of the streamed data is crucial which requires quantum
Externí odkaz:
http://arxiv.org/abs/2305.12298