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A User-friendly Model for Ransomware Analysis Using Sandboxing
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作者 Akhtar Kamal Morched Derbali +5 位作者 Sadeeq Jan Javed Iqbal Bangash Fazal Qudus Khan Houssem Jerbi Rabeh Abbassi Gulzar Ahmad 《Computers, Materials & Continua》 SCIE EI 2021年第6期3833-3846,共14页
Ransomware is a type of malicious software that blocks access to a computer by encrypting user’s files until a ransom is paid to the attacker.There have been several reported high-profile ransomware attacks including... Ransomware is a type of malicious software that blocks access to a computer by encrypting user’s files until a ransom is paid to the attacker.There have been several reported high-profile ransomware attacks including WannaCry,Petya,and Bad Rabbit resulting in losses of over a billion dollars to various individuals and businesses in the world.The analysis of ransomware is often carried out via sandbox environments;however,the initial setup and configuration of such environments is a challenging task.Also,it is difficult for an ordinary computer user to correctly interpret the complex results presented in the reports generated by such environments and analysis tools.In this research work,we aim to develop a user-friendly model to understand the taxonomy and analysis of ransomware attacks.Also,we aim to present the results of analysis in the form of summarized reports that can easily be understood by an ordinary computer user.Our model is built on top of the well-known Cuckoo sandbox environment for identification of the ransomware as well as generation of the summarized reports.In addition,for evaluating the usability and accessibility of our proposed model,we conduct a comprehensive user survey consisting of participants from various fields,e.g.,professional developers from software houses,people from academia(professors,students).Our evaluation results demonstrate a positive feedback of approximately 92%on the usability of our proposed model. 展开更多
关键词 Ransomware SANDBOX user-friendly model SURVEY
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Development of High Intensity Beam Emittance Measurement Unit 被引量:1
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作者 LV PengNan PENG ShiXiang +6 位作者 GUO ZhiYu YUAN ZhongXi REN HaiTao ZHAO Jie ZHANG Meng CHEN JiaEr LU YuanRong 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2011年第S2期287-291,共5页
Three sets of High Intensity Beam Emittance Measurement Units (HIBEMUs) are being developed at Peking University. They are HIBEMU-2 (slit-wire type, one direction), HIBEMU-3 (Allison scanner type, one direction) and H... Three sets of High Intensity Beam Emittance Measurement Units (HIBEMUs) are being developed at Peking University. They are HIBEMU-2 (slit-wire type, one direction), HIBEMU-3 (Allison scanner type, one direction) and HIBEMU-4 (slit-wire type, two directions). For HIBEMU-2 and HIBEMU-3, more recent work has been done on software redesign in order to measure beam emittance and to draw phase diagram more efficiently and precisely. Software for control and data processing of them were developed in Labveiw environment, trying to improve calculation rationality and to offer user-friendly interface. Mechanical modification was also done for HIBEMU-3, mainly concentrating on the protection of Faraday cups from being overheated by the high intensity beam and also from interference of secondary electrons. This paper will also cover the mechanical structure as well as the software development of HIBEMU-4, which is a two-direction emittance scanner newly designed and manufactured for the high energy beam transport (HEBT) of Peking University Neutron Imaging FaciliTY (PKUNIFTY). At the end of this paper, comparison and analysis of the three HIBEMUs are given to draw forth better design of the future emittance measurement facility. 展开更多
关键词 EMITTANCE HIBEMU HIGH INTENSITY BEAM user-friendly PROGRAM comparison.
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PREDAV-H1: a user-friendly web server for predicting antigenic variants of influenza H1N1 viruses
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作者 Congyu Lu Mi Liu +3 位作者 Aiping Wu Yuelong Shu Yousong Peng Taijiao Jiang 《Science China(Life Sciences)》 SCIE CAS CSCD 2019年第3期426-427,共2页
Dear Editor,The influenza H1N1 virus has caused three global pandemics since the beginning of the 20th century(Liu et al.,2015).The first is the notorious Spanish flu in 191&which killed 20-100 million people in t... Dear Editor,The influenza H1N1 virus has caused three global pandemics since the beginning of the 20th century(Liu et al.,2015).The first is the notorious Spanish flu in 191&which killed 20-100 million people in the world.It circulated for nearly 40 years and was replaced by influenza H2N2 virus.In 1977,the virus reappeared in Russia and caused global pandemics.It continued to circulate until 2009 when it was replaced by the pandemic H1N1 virus.Influenza H1N1 viruses cause large morbidity and mortality to human society,and will continue to threaten humans.Vaccination is the most effective way to fight against the virus.However,due to rapid mutation of the virus,antigenic drift happens frequently,which leads to inefficiency of influenza vaccines.How to timely identify antigenic variants is an important question in influenza surveillance. 展开更多
关键词 PREDAV-H1 a user-friendly web SERVER predicting antigenic VARIANTS INFLUENZA H1N1 viruses
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