Institutional Repository
| analysis of telephone call detail records based on fuzzy decision tree | |
| Ding Liping; Gu Jian; Wang Yongji; Wu Jingzheng | |
| 2011 | |
| Conference Name | 3rd International ICST Conference on Forensic Applications and Techniques in Telecommunications, Information and Multimedia, E-Forensics 2010 |
| Source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 301-311 |
| Conference Date | November 1 |
| Conference Place | Shanghai, China |
| Indexed Type | EI ; SPRINGER |
| ISSN | 0302-9743 |
| ISBN | 9783642236013 |
| Department | (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 |
| English Abstract | 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. |
| Keyword | Algorithms Computer Crime Decision Trees Digital Devices Forestry Telephone Sets Telephone Systems Trees (Mathematics) |
| Sponsorship | ICST |
| Language | 英语 |
| WOS ID | WOS:000285494500018 |
| Citation statistics | |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16202 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
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