analysis of telephone call detail records based on fuzzy decision tree

ISCAS OpenIR

	analysis of telephone call detail records based on fuzzy decision tree
	Ding Liping; Gu Jian; Wang Yongji; Wu Jingzheng
	2011
会议名称	3rd International ICST Conference on Forensic Applications and Techniques in Telecommunications, Information and Multimedia, E-Forensics 2010
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码	301-311
会议日期	November 1
会议地点	Shanghai, China
收录类别	EI ; SPRINGER
ISSN	0302-9743
ISBN	9783642236013
部门归属	(1) Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) Key Lab. of Information Network Security of Ministry of Public Security Third Research Institute of Ministry of Public Security Shanghai 200031 China
摘要	Digital evidences can be obtained from computers and various kinds of digital devices, such as telephones, mp3/mp4 players, printers, cameras, etc. Telephone Call Detail Records (CDRs) are one important source of digital evidences that can identify suspects and their partners. Law enforcement authorities may intercept and record specific conversations with a court order and CDRs can be obtained from telephone service providers. However, the CDRs of a suspect for a period of time are often fairly large in volume. To obtain useful information and make appropriate decisions automatically from such large amount of CDRs become more and more difficult. Current analysis tools are designed to present only numerical results rather than help us make useful decisions. In this paper, an algorithm based on fuzzy decision tree (FDT) for analyzing CDRs is proposed. We conducted experimental evaluation to verify the proposed algorithm and the result is very promising. © 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.; Digital evidences can be obtained from computers and various kinds of digital devices, such as telephones, mp3/mp4 players, printers, cameras, etc. Telephone Call Detail Records (CDRs) are one important source of digital evidences that can identify suspects and their partners. Law enforcement authorities may intercept and record specific conversations with a court order and CDRs can be obtained from telephone service providers. However, the CDRs of a suspect for a period of time are often fairly large in volume. To obtain useful information and make appropriate decisions automatically from such large amount of CDRs become more and more difficult. Current analysis tools are designed to present only numerical results rather than help us make useful decisions. In this paper, an algorithm based on fuzzy decision tree (FDT) for analyzing CDRs is proposed. We conducted experimental evaluation to verify the proposed algorithm and the result is very promising. © 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.
关键词	Algorithms Computer Crime Decision Trees Digital Devices Forestry Telephone Sets Telephone Systems Trees (Mathematics)
主办者	ICST
语种	英语
WOS记录号	WOS:000285494500018
引用统计
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16202
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Ding Liping,Gu Jian,Wang Yongji,et al. analysis of telephone call detail records based on fuzzy decision tree[C],2011:301-311.