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作 者:Ya-Dong Li Dong-Hui Hu Yu-Qi Fan Xin-Dong Wu
机构地区:[1]School of Computer and Information,Hefei University of Technology [2]Dept.of Computer Science,University of Vermont,Burlington,VT 05405,USA
出 处:《Journal of Harbin Institute of Technology(New Series)》2014年第6期46-50,共5页哈尔滨工业大学学报(英文版)
基 金:Sponsored by the National Natural Science Foundation of China(Grant No.61272540);the National Basic Research Program of China(973 Program)(Grant No.2013CB329604);the National High Technology Research and Development Program of China(Grant No.2012AA011005);the Natural Science Foundation of Anhui Province,China(Grant No.11040606M138 and No.1208085MF101);the Specialized Research Fund for the Doctoral Program of Higher Education of China(Grant No.2011JYXJ1498);the Fundamental Research Funds for the Central Universities(Grant No.2011HGQC1012)
摘 要:Cyber-crimes are growing rapidly,so it is important to obtain the digital evidence on the web page.Usually,people can examine the browser history on the client side and data files on the server side,but both of them have shortcomings in real criminal investigation.To overcome the weakness,this paper designs a web page forensic scheme to snapshot the pages from web servers with the help of web spider.Also,it designs several steps to improve the trustworthiness of these pages.All the pages will be dumped in local database which can be presented as reliable evidence on the court.Cyber-crimes are growing rapidly,so it is important to obtain the digital evidence on the web page.Usually,people can examine the browser history on the client side and data files on the server side,but both of them have shortcomings in real criminal investigation.To overcome the weakness,this paper designs a web page forensic scheme to snapshot the pages from web servers with the help of web spider.Also,it designs several steps to improve the trustworthiness of these pages.All the pages will be dumped in local database which can be presented as reliable evidence on the court.
关 键 词:web page digital forensics web spider
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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