The CloudGrid approach: Security analysis and performance evaluation

2013 ◽  
Vol 29 (1) ◽  
pp. 387-401 ◽  
Author(s):  
Valentina Casola ◽  
Antonio Cuomo ◽  
Massimiliano Rak ◽  
Umberto Villano
Keyword(s):  
Performance Evaluation ◽  
Security Analysis ◽  
And Performance

scholarly journals Robustness and Unpredictability for Double Arbiter PUFs on Silicon Data: Performance Evaluation and Modeling Accuracy

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 870 ◽  
Author(s):  
Meznah A. Alamro ◽  
Khalid T. Mursi ◽  
Yu Zhuang ◽  
Ahmad O. Aseeri ◽  
Mohammed Saeed Alkatheiri
Keyword(s):  
Performance Evaluation ◽  
Integrated Circuits ◽  
Security Analysis ◽  
Limited Resource ◽  
Security Issues ◽  
Non Volatile Memory ◽  
Secret Keys ◽  
Iot Devices ◽  
And Performance ◽  
Secure Authentication

Classical cryptographic methods that inherently employ secret keys embedded in non-volatile memory have been known to be impractical for limited-resource Internet of Things (IoT) devices. Physical Unclonable Functions (PUFs) have emerged as an applicable solution to provide a keyless means for secure authentication. PUFs utilize inevitable variations of integrated circuits (ICs) components, manifest during the fabrication process, to extract unique responses. Double Arbiter PUFs (DAPUFs) have been recently proposed to overcome security issues in XOR PUF and enhance the tolerance of delay-based PUFs against modeling attacks. This paper provides comprehensive risk analysis and performance evaluation of all proposed DAPUF designs and compares them with their counterparts from XOR PUF. We generated different sets of real challenge–response pairs CRPs from three FPGA hardware boards to evaluate the performance of both DAPUF and XOR PUF designs using special-purpose evaluation metrics. We show that none of the proposed designs of DAPUF is strictly preferred over XOR PUF designs. In addition, our security analysis using neural network reveals the vulnerability of all DAPUF designs against machine learning attacks.

Sign in / Sign up

Export Citation Format

Share Document