Android applications are associated with a large amount of sensitive data,therefore application developers use encryption algorithms to provide user data encryption,authentication and data integrity protection.However...Android applications are associated with a large amount of sensitive data,therefore application developers use encryption algorithms to provide user data encryption,authentication and data integrity protection.However,application developers do not have the knowledge of cryptography,thus the cryptographic algorithm may not be used correctly.As a result,security vulnerabilities are generated.Based on the previous studies,this paper summarizes the characteristics of password misuse vulnerability of Android application software,establishes an evaluation model to rate the security level of the risk of password misuse vulnerability and develops a repair strategy for password misuse vulnerability.And on this basis,this paper designs and implements a secure container for Android application software password misuse vulnerability:CM-Droid.展开更多
Importance:Umbilical venous catheterization(UVC)is a common procedure for critically ill newborn infants.The insertion depth was estimated before the procedure using various formulae.Objective:To compare the accuracy ...Importance:Umbilical venous catheterization(UVC)is a common procedure for critically ill newborn infants.The insertion depth was estimated before the procedure using various formulae.Objective:To compare the accuracy of five published formulae based on birth weight(BW).Methods:This is a secondary retrospective analysis using data collected in a previous study,in which the actual final insertion depth of UVC was recorded.Predicted insertion depths were calculated by five published formulae based on BW.Then the actual depth and predicted depth were compared.Accurate position was defined as predicted depth being within±10%of actual depth.The accuracy rate calculated as"(accurately positioned UVCs/all UVCs)×100%"and the ratio of difference calculated as"(|predicted depth−actual depth|/actual depth)"were compared among five formulae.Results:Totally 1298 were enrolled,with gestational age 29.8±2.3 weeks and BW 1215±273 g.The accuracy rates were:Tambasco formula(67.2%),Shukla formula(65.0%),JSS formula(64.4%),BW formula(48.9%),and revised Shukla formula(26.9%).Tambasco formula had the highest accuracy rate in newborns with BW≥1000 g.JSS formula had the highest accuracy rate in newborns with BW<1000 g.Interpretation:It is suggested to use the Tambasco formula for estimating the UVC insertion depth for newborns,especially for those with BW≥1000 g,and to apply the JSS formula for newborns with BW<1000 g.There is no universal formula for achieving 100%accurate positioning.展开更多
基金This work is supported by The National Natural Science Foundation of China (Nos.U1536121,61370195).
文摘Android applications are associated with a large amount of sensitive data,therefore application developers use encryption algorithms to provide user data encryption,authentication and data integrity protection.However,application developers do not have the knowledge of cryptography,thus the cryptographic algorithm may not be used correctly.As a result,security vulnerabilities are generated.Based on the previous studies,this paper summarizes the characteristics of password misuse vulnerability of Android application software,establishes an evaluation model to rate the security level of the risk of password misuse vulnerability and develops a repair strategy for password misuse vulnerability.And on this basis,this paper designs and implements a secure container for Android application software password misuse vulnerability:CM-Droid.
基金Capital’s Funds for Health Improvement and Research,Grant/Award Number:#2022-2-2095
文摘Importance:Umbilical venous catheterization(UVC)is a common procedure for critically ill newborn infants.The insertion depth was estimated before the procedure using various formulae.Objective:To compare the accuracy of five published formulae based on birth weight(BW).Methods:This is a secondary retrospective analysis using data collected in a previous study,in which the actual final insertion depth of UVC was recorded.Predicted insertion depths were calculated by five published formulae based on BW.Then the actual depth and predicted depth were compared.Accurate position was defined as predicted depth being within±10%of actual depth.The accuracy rate calculated as"(accurately positioned UVCs/all UVCs)×100%"and the ratio of difference calculated as"(|predicted depth−actual depth|/actual depth)"were compared among five formulae.Results:Totally 1298 were enrolled,with gestational age 29.8±2.3 weeks and BW 1215±273 g.The accuracy rates were:Tambasco formula(67.2%),Shukla formula(65.0%),JSS formula(64.4%),BW formula(48.9%),and revised Shukla formula(26.9%).Tambasco formula had the highest accuracy rate in newborns with BW≥1000 g.JSS formula had the highest accuracy rate in newborns with BW<1000 g.Interpretation:It is suggested to use the Tambasco formula for estimating the UVC insertion depth for newborns,especially for those with BW≥1000 g,and to apply the JSS formula for newborns with BW<1000 g.There is no universal formula for achieving 100%accurate positioning.
