Prevention and Analysing on Cross Site Scripting

2020 ◽  
pp. 731-739
Author(s):  
L. Jagajeevan Rao ◽  
S. K. Nazeer Basha ◽  
V. Rama Krishna
Keyword(s):  
Cross Site

Cross-Site Request Forgery: Vulnerabilities and Defenses

2014 ◽  
Vol 3 (2) ◽  
pp. 13-21 ◽  
Author(s):  
Bharti Nagpal ◽  
Naresh Chauhan ◽  
Nanhay Singh
Keyword(s):  
Cross Site Request Forgery ◽  
Cross Site

Discovering reflected cross-site scripting vulnerabilities using a multiobjective reinforcement learning environment

2021 ◽  
Vol 103 ◽  
pp. 102204
Author(s):  
Francesco Caturano ◽  
Gaetano Perrone ◽  
Simon Pietro Romano
Keyword(s):  
Reinforcement Learning ◽  
Learning Environment ◽  
Cross Site

scholarly journals A simple standardized protocol to evaluate the reliability of seed rain estimates

2020 ◽  
pp. 1-6
Author(s):  
André J. Arruda ◽  
Fernando A.O. Silveira ◽  
Elise Buisson
Keyword(s):  
Restoration Ecology ◽  
Community Dynamics ◽  
Size Dependence ◽  
Seed Rain ◽  
Proof Of Concept ◽  
Sticky Traps ◽  
Standardized Protocol ◽  
Funnel Trap ◽  
Seed Trap ◽  
Cross Site

Abstract Seed dispersal has key implications for community dynamics and restoration ecology. However, estimating seed rain (the number and diversity of seeds arriving in a given area) is challenging, and the lack of standardization in measurement prevents cross-site comparisons. Seed trap effectiveness and accuracy of seed sorting methods are key components of seed rain estimates in need of standardization. We propose and describe a standardized protocol for evaluating the effectiveness of two seed trap types (sticky and funnel traps) and the accuracy of a seed sorting method. We used widely available seeds (arugula, quinoa, sesame and sunflower) to produce a gradient of seed size, weight and colour. Proof-of-concept was tested in a tropical grassland, where traps were set for 30 days. Our results suggest that we underestimate dispersal of seeds with less than 2 mm width that can be easily mistaken for debris and soil particles or that fail to adhere to sticky traps. Seeds on sticky traps may be more vulnerable to removal by wind and rain, whereas seeds in funnel traps are more susceptible to decay. We found no evidence of observer bias on seed sorting for funnel trap samples. However, accuracy on seed sorting for funnel trap samples tended to decline for seeds with less than 2 mm width, suggesting a size-dependence in seed retrieval success. Our standardized protocol addressing trap effectiveness and seed sorting methods will increase the reliability of data obtained in seed rain studies and allow more reliable comparisons between datasets.

scholarly journals Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation

2021 ◽  
pp. 1-1
Author(s):  
Geng-Xin Xu ◽  
Chen Liu ◽  
Jun Liu ◽  
Zhongxiang Ding ◽  
Feng Shi ◽  
...  
Keyword(s):  
Domain Adaptation ◽  
Ct Images ◽  
Severity Assessment ◽  
Cross Site

Detection and Prevention of Cross-site Scripting Attack with Combined Approaches

2021 ◽  
Author(s):  
Hsing-Chung Chen ◽  
Aristophane Nshimiyimana ◽  
Cahya Damarjati ◽  
Pi-Hsien Chang
Keyword(s):  
Cross Site

scholarly journals Childhood Obesity Research Demonstration Project: Cross-Site Evaluation Methods

2015 ◽  
Vol 11 (1) ◽  
pp. 92-103 ◽  
Author(s):  
Daniel P. O'Connor ◽  
Rebecca E. Lee ◽  
Paras Mehta ◽  
Debbe Thompson ◽  
Alok Bhargava ◽  
...  
Keyword(s):  
Childhood Obesity ◽  
Evaluation Methods ◽  
Demonstration Project ◽  
Obesity Research ◽  
Site Evaluation ◽  
Cross Site

scholarly journals Sapling and coppice biomass heritabilities and potential gains from Eucalyptus polybractea progeny trials

2021 ◽  
Vol 17 (2) ◽  
Author(s):  
Beren Spencer ◽  
Richard Mazanec ◽  
Mark Gibberd ◽  
Ayalsew Zerihun
Keyword(s):  
Western Australia ◽  
Growth Rates ◽  
Genetic Parameters ◽  
Genetic Variance ◽  
Additive Genetic Variance ◽  
Short Rotation ◽  
Sapling Growth ◽  
Genetic And Phenotypic Correlations ◽  
Breeding Selections ◽  
Cross Site

AbstractEucalyptus polybractea has been planted as a short-rotation coppice crop for bioenergy in Western Australia. Historical breeding selections were based on sapling biomass and despite a long history as a coppice crop, the genetic parameters of coppicing are unknown. Here, we assessed sapling biomass at ages 3 and 6 from three progeny trials across southern Australia. After the second sapling assessment, all trees were harvested. Coppice biomass was assessed 3.5 years later. Mortality following harvest was between 1 and 2%. Additive genetic variance for the 6-sapling estimate at one site was not significant. Sapling heritabilities were between 0.06 and 0.36 at 3 years, and 0.18 and 0.20 at 6 years. The heritability for the coppice biomass was between 0.07 and 0.17. Within-site genetic and phenotypic correlations were strong between all biomass assessments. Cross-site correlations were not different from unity. Selections based on net breeding values revealed positive gains in sapling and coppice biomass. Lower or negative gains were estimated if 3-year sapling selections were applied to the coppice assessments (−7.1% to 3.4%) with useful families culled. Positive gains were obtained if 6-year sapling selections were applied to the coppice assessment (6.4% to 9.3%) but these were lower than those obtained by applying coppice selections to the coppice assessment (8.4% to 14.8%). Removal of poor performing families and families that displayed fast sapling growth rates but under-performed as coppice will benefit potential coppice production. These results indicate that selections should be made using coppice data.

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