Physically Unclonable Function (PUF) is an alternative hardware-based security method. As is known to all, samples are significant in the modeling attacks of PUFs. To improve the modeling attacks, some efforts are made to expand sample sets therein. A closer examination, however, reveals that not all samples contribute to the modeling attacks equally. Therefore, in this paper we introduce the concept of sample essentiality for describing the contribution of a sample in the modeling attacks and point out that any sample without sample essentiality cannot enhance some modeling attacks of PUFs. As a by-product, we find theoretically and empirically that the samples expanded by the procedures due to Chatterjee et al. do not satisfy our sample essentiality. Furthermore, we propose the notion of essential sample set for datasets and discuss its basic properties. Finally, we demonstrate that our results about sample essentiality can be used to reduce samples efficiently and benefit sample selection in the modeling attacks of PUFs.
To secure correct system operation, a plethora of Reliability, Availability and Serviceability (RAS) techniques have been deployed by circuit designers. RAS mechanisms however, come with the cost of extra clock cycles. In addition, a wide variety of dynamic workloads and different input conditions often constitute preemptive dependability techniques hard to implement. To this end, we focus on a realistic case study of a closed-loop controller that mitigates performance variation with a reactive response. This concept has been discussed but was only illustrated on small benchmarks. In particular, the extension of the approach to manage performance of dynamic workloads on a target platform has not been shown earlier. We compare our scheme against the version of a Linux CPU frequency governor in terms of timing response and energy consumption. Finally, we move forward and suggest a new flavor of our controller to efficiently manage processor temperature. Again, the concept is illustrated with a realistic case study and compared to a modern temperature manager.
Editorial: Adversaries and Robustness
A MCU based Sim-DWT algorithm that can detect high-voltage spindles (HVSs) in local eld potential signals. The requirement of only sixteen 8-bit sample points as the window length for calculation and no need for a multiplier render the Sim-DWT easy to implement in an MCU with limited hardware resources. The Sim-DWT is applied in an 8-bit MCU and was tested for detecting LFP signals in vivo. The design methods and the accuracy of three typical types of mother wavelet functions (Haar, DB4, Morlet) in the Sim-DWT were also tested and compared with those of a PC-based system.
Real-time traffic updates, safety and comfort driving, infotainment etc. are some envisioned applications in vehicular networks. In the traditional network coding assisted broadcast, the explicit cache upload from vehicles to RSU wastes upload bandwidth. In multi-RSU vehicular networks, we propose a Cooperative Cache Transfer based on-demand network Coded Broadcast called CCTCB. In the proposed CCTCB approach, the RSU server learns the vehicles' cache intrinsically. We derive a probabilistic model to analyze the coding opportunity in the proposed cooperative cache transfer mechanism incorporating vehicle mobility. The comprehensive simulation results validate the superiority of the proposed approach.