6 research outputs found

    ADVANCED ENCRYPTION STANDARD USING FPGA OVERNETWORK

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    The increase number of eavesdropping or cracker to attack the information and hack the privacy of people. So, the essential issue is making system capable of ciphering information with rapid speed. Due to the advance in computer eavesdropping and cracker that made them to analysis the way of ciphering in rapid speed way. The development in the computer especially in the rapid processer in the last decade create the breaching of any system is a matter of time. Owing to most of breaching ways are based on analysis of system that requireы to be breached and to try brute force on that system to crack it. However, the lacking of influential processers that are capable of breaching system since earlier processors are limit to number of instructions. It can be done in second, which was not sufficient trying to break the system using brute force. In addition, the time required is far away from getting valuable messages in the time that needed. So, the research gives the focus on performing rapid system for ciphering the information rapidly and changing the ciphering every few milliseconds. The changing of ciphering in every millisecond helps system form preventing the eavesdropping and cracker from imposing brute force on the system and hacking the messages and images. The system that created is based on Advanced Encryption Standard (AES), which is it very best performing algorithm in ciphering and deciphering since it doesn’t need complex mathematical formula. The research is about designing system that capable of performing AES by using high processer designed on Field programmable gate Area (FPGA). The ciphering of AES using FPGA helps minimize the time required to cipher the information. Also, the research will focus on ciphering and deciphering of images by AES using FPG

    ENCRYPTION THREE-DIMENSION IMAGE USING TINY ALGORITHM

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    The development of systems allows providing the capability of using three-dimension (3D) pictures over the internet especially in social media. In previous years, animation pictures and videos are not used in the internet due to the sizes of these two data and need the huge amount of data to work over internet and need supporting program to deal with presenting the data to the users of the internet in either websites or social media. Most of the security over internet used on ciphering text or ciphering images but not cipher video or 3D picture because video and 3D pictures are not used until recently. The huge use of these two types 3D pictures and videos in recent years. It is become an urgent necessary to encrypt these sorts of data. The research will focus on encrypting these types of data by using special algorithm called as Tiny Encryption Algorithm (TEA). This algorithm will be used to encrypt and decrypt 3D pictures and protecting the privacy of this sort of data. The research shows the how-to encode and decode of 3D picture and how to deal with them. The results show the TEA is rapid algorithm in the coding picture and decoding 3D pictures. it is only needing a few portions of time to cipher and decipher 3D pictures. The program that used to test the ciphering and deciphering algorithm was based on MATLAB

    SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

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    Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population

    Pancreatic surgery outcomes: multicentre prospective snapshot study in 67 countries

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    Background: Pancreatic surgery remains associated with high morbidity rates. Although postoperative mortality appears to have improved with specialization, the outcomes reported in the literature reflect the activity of highly specialized centres. The aim of this study was to evaluate the outcomes following pancreatic surgery worldwide.Methods: This was an international, prospective, multicentre, cross-sectional snapshot study of consecutive patients undergoing pancreatic operations worldwide in a 3-month interval in 2021. The primary outcome was postoperative mortality within 90 days of surgery. Multivariable logistic regression was used to explore relationships with Human Development Index (HDI) and other parameters.Results: A total of 4223 patients from 67 countries were analysed. A complication of any severity was detected in 68.7 percent of patients (2901 of 4223). Major complication rates (Clavien-Dindo grade at least IIIa) were 24, 18, and 27 percent, and mortality rates were 10, 5, and 5 per cent in low-to-middle-, high-, and very high-HDI countries respectively. The 90-day postoperative mortality rate was 5.4 per cent (229 of 4223) overall, but was significantly higher in the low-to-middle-HDI group (adjusted OR 2.88, 95 per cent c.i. 1.80 to 4.48). The overall failure-to-rescue rate was 21 percent; however, it was 41 per cent in low-to-middle-compared with 19 per cent in very high-HDI countries.Conclusion: Excess mortality in low-to-middle-HDI countries could be attributable to failure to rescue of patients from severe complications. The authors call for a collaborative response from international and regional associations of pancreatic surgeons to address management related to death from postoperative complications to tackle the global disparities in the outcomes of pancreatic surgery (NCT04652271; ISRCTN95140761)
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