A Customizable Ranking Method for Digital Evidence Search through Interestingness Injection
作者单位：Central Research LaboratoryBharat Electronics LimitedBangaloreIndia
会议名称：《第三届多媒体信息网络与安全国际会议》
会议日期：2011年
学科分类：030604[法学-侦查学] 03[法学] 081203[工学-计算机应用技术] 08[工学] 0838[工学-公安技术] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0306[法学-公安学] 030609[法学-涉外警务学]
关 键 词：Digital Evidence Search Email Forensics Email Metadata Information Retrieval Interestingness Injection Ranking
摘 要：Digital evidence search is one of the key issues in digital forensics. Current forensic search tools just present the results without a kind of grouping or inappropriate filtering. So a criminal investigator has to spend a lot of time in order to find documents related to the investigation among the searched results. If the interestingness of the crime investigator is injected into the system, the system can rank the search hits according to it and present the most relevant results to him. In this paper we present a customizable ranking method through injecting the interestingness of crime investigator to improve the performance of digital evidence search in email forensics.