Method for Identifying Close Friend Relationship in Mobile Phone
Authors: 
Daodong Ming, Bin Xi, Shunxiang Wu, Baihua Chen, Chao Yi, Zhengdong LiaoAuthors Info & Claims
Daodong Ming, Bin Xi, Shunxiang Wu, Baihua Chen, Chao Yi, Zhengdong LiaoAuthors Info & ClaimsPages 152 - 156
Abstract
With the improvement of the current scientific level, the use of mobile phones has become more and more common, and has become an indispensable tool in the lives of many people. Because the rich functions and use of mobile phones are very simple, while facilitating people's lives, it also provides criminals with a very important tool for committing crimes. In the traditional mobile phone forensics system, only some simple sorting or display of the extracted information of the mobile phone is required. To find out the inherent information, it is necessary to conduct artificial research. With the continuous expansion of mobile phone capacity, the burden of handling a large amount of mobile phone information on criminal investigators is growing. This article introduces a method applying basic word2vec and knowledge of statistics to explore the relationship between close friends and owners. It can help criminal investigation personnel to quickly clarify the relationship between the characters and provide some clue for the detection of the case.
References
[1]
Pu Yiquan, Guo Yanfen, Wei Bangguo. A review of the application of electronic forensics{J}. Computer Systems, 2019, 28(01): 10--16.
[2]
Xu Wei. Research on Several Issues of Mobile Phone Forensics {D}. China University of Political Science and Law, 2008.
[3]
Zhao Xiaomin. Overview of mobile forensics {J}. Network Security Technology and Application, 2005 (12): 79--80+78.
[4]
HUANG Weichun, FAN Shaoshuai, XIONG Liyan, ZHONG Maosheng. A Method of Person Relation Extraction Based on Feature Selection{J}.Science Technology and Engineering, 2015, 15(03): 254--259.
[5]
Zeng Hui, Tang Jiali, Xiong Liyan, Huang Xiaohui. Extraction of Chinese characters' social relations based on verb nouns and CHI feature selection{J}. Journal of Computer Applications, 2017, 34(06): 1631--1635.
[6]
Zhang Keliang, Li Wei. Research on semantic similarity calculation based on ontology{J}. Journal of Zhengzhou University(Science edition), 2019, 51(02): 52--59.
[7]
Tomas Mikolov, Efficient Estimation of Word Representations in Vector Space, https://arxiv.org/pdf/1301.3781.pdf
[8]
Huang Changning, Zhao Hai. A Review of Chinese Word Segmentation in Ten Years{J}. Chinese Journal of Information, 2007(03): 8--19.
[9]
Zhang Lei, Zhang Daiyuan. Analysis of Chinese Word Segmentation Algorithm{J}. Computer Knowledge and Technology, 2009, 5(01): 192--193.
[10]
Zhang Jiang. Rule-based word segmentation method {J}. Computer and Modernization, 2005 (04): 18--20.
[11]
Fei Hongxiao, Kang Songlin, Zhu Xiaojuan, Xie Wenbiao. Research on Chinese word segmentation based on word frequency statistics{J}. Computer Engineering and Applications, 2005(07): 67--68+100.
[12]
ZHAO Wei, DAI Xinyu, YIN Cunyan, CHEN Jiajun. A Chinese word segmentation method combining rules and statistics{J}. Journal of Computer Applications, 2004(03): 23--25.
Index Terms
- Method for Identifying Close Friend Relationship in Mobile Phone
Recommendations
Mobile Phone Forensics: Challenges, Analysis and Tools Classification
SADFE '10: Proceedings of the 2010 Fifth IEEE International Workshop on Systematic Approaches to Digital Forensic EngineeringAbstract— Mobile phones and other handheld devices are everywhere now a day. Cell phones andcellular devices can be involved in a crime or other incident. Digital forensic specialists will requirespecialized tools for forensics examination of mobile ...
Photo forensics on shanzhai mobile phone
WASA'13: Proceedings of the 8th international conference on Wireless Algorithms, Systems, and ApplicationsThere is an increasing number of crime cases involving mobile phones. In particular, due to the low cost of China shanzhai mobile phone (Chinese pirated mobile phone), a significant portion of these crime cases (all over the world) is related to these ...
A model of the relationship between psychological characteristics, mobile phone addiction and use of mobile phones by Taiwanese university female students
While many researches have analyzed the psychological antecedents of mobile phone addiction and mobile phone usage behavior, their relationship with psychological characteristics remains mixed. We investigated the relationship between psychological ...
Comments
Information & Contributors
Information
Published In
June 2019
293 pages
ISBN:9781450371858
DOI:10.1145/3341069
Copyright © 2019 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 22 June 2019
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
HPCCT 2019
HPCCT 2019: 2019 The 3rd High Performance Computing and Cluster Technologies Conference
June 22 - 24, 2019
Guangzhou, China
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 56Total Downloads
- Downloads (Last 12 months)5
- Downloads (Last 6 weeks)0
Reflects downloads up to 13 Jan 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in