Side-Channel Spillway Hydraulics (Case Study: Lake Skinner Spillway Adequacy Evaluation)

Author(s):  
D. W. Baker ◽  
K. A. Reedy
Keyword(s):  
2021 ◽  
Author(s):  
Evgeniy V. Yakushev ◽  
Natalia Yu. Andrulionis ◽  
Mahnaz Jafari ◽  
Hamid A. K. Lahijani ◽  
Peygham Ghaffari

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Joseph Lange ◽  
Clément Massart ◽  
André Mouraux ◽  
François-Xavier Standaert

Limnologica ◽  
2010 ◽  
Vol 40 (2) ◽  
pp. 182-190 ◽  
Author(s):  
Peter Herzsprung ◽  
Martin Schultze ◽  
Michael Hupfer ◽  
Bertram Boehrer ◽  
Wolf v. Tümpling ◽  
...  

Cybersecurity ◽  
2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Huizhong Li ◽  
Guang Yang ◽  
Jingdian Ming ◽  
Yongbin Zhou ◽  
Chengbin Jin

AbstractSide-channel resistance is nowadays widely accepted as a crucial factor in deciding the security assurance level of cryptographic implementations. In most cases, non-linear components (e.g. S-Boxes) of cryptographic algorithms will be chosen as primary targets of side-channel attacks (SCAs). In order to measure side-channel resistance of S-Boxes, three theoretical metrics are proposed and they are reVisited transparency order (VTO), confusion coefficients variance (CCV), and minimum confusion coefficient (MCC), respectively. However, the practical effectiveness of these metrics remains still unclear. Taking the 4-bit and 8-bit S-Boxes used in NIST Lightweight Cryptography candidates as concrete examples, this paper takes a comprehensive study of the applicability of these metrics. First of all, we empirically investigate the relations among three metrics for targeted S-boxes, and find that CCV is almost linearly correlated with VTO, while MCC is inconsistent with the other two. Furthermore, in order to verify which metric is more effective in which scenarios, we perform simulated and practical experiments on nine 4-bit S-Boxes under the non-profiled attacks and profiled attacks, respectively. The experiments show that for quantifying side-channel resistance of S-Boxes under non-profiled attacks, VTO and CCV are more reliable while MCC fails. We also obtain an interesting observation that none of these three metrics is suitable for measuring the resistance of S-Boxes against profiled SCAs. Finally, we try to verify whether these metrics can be applied to compare the resistance of S-Boxes with different sizes. Unfortunately, all of them are invalid in this scenario.


Author(s):  
Hadiseh Babaei ◽  
Milad Janalipour ◽  
Nadia Abbaszadeh Tehrani

Abstract Lake Urmia is one of the largest saline lakes in the world, and has a great effect on its surrounding ecosystems as well as the economic, social, and even cultural condition of its basin inhabitants. Hence, continuous monitoring of lake area changes is necessary and unavoidable for better land management and prevention of its degradation. In this study, by using Landsat 8 images and by preforming some essential pre-processing tasks, the area of the lake was estimated using the number of traditional spectral indices and a new one and the automatic Otsu's thresholding method for 5 years (2013–2017). The results showed that this index shows more accurate results than other indices when estimating the area of the lake and can separate water class from land one with an average overall accuracy of 96%.


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