Abstract
Mass storage media are becoming increasingly common due to the spread of smartphones to which new technologies are applied. Correspondingly, the amount of data collected from digital crime has considerably increased. Previously, if an investigator did not properly conduct the initial response, valuable evidence would be lost. Thus, collection of digital evidence within a short time frame is required. Further, in searches using data from the smartphones to gather evidence, evidence must be collected and analyzed quickly. Therefore, in this paper, a method is proposed for rapidly collecting data at a crime scene based on the type of criminal charge. Once implemented, our method can collect data by accounting for each feature of the software, providing rapid results through a pattern search. There is also a range of options available with parallel routines. Single or multiple options can be utilized depending on the investigator’s requirements.
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References
Akkaladevi S, Keesara H, Luo X (2011) Efficient forensic tools for handheld device: a comprehensive perspective. Softw Eng Res Manag Appl Stud Comput Intell 377:349–359
Andrew H (2011) Android forensics: investigation, analysis and mobile security for google android. Syngress
Andrew H, Katie S (2011) iPhone and iOS forensics: investigation, analysis and mobile security for apple iPhone, iPad, and iOS devices. Syngress
Andriotis P, Oikonomou G, Tryfonas T (2012) Forensic analysis of wireless networking evidence of android smartphones. 2012 I.E. International Workshop on Information Forensics and Security, pp. 109–114
Baek SJ, Han JS, Chung KY (2013) Dynamic reconfiguration based on goal-scenario by adaptation strategy. Wirel Pers Commun. doi:10.1007/s11277-013-1239-0
Bertè R, Dellutri F, Grillo A, Lentini A, Me G, Ottaviani V (2009) Fast smartphones forensic analysis results through MIAT and forensic farm. Int J Electron Secur Digit Forensic Inderscience
Choi J, Jang B, Kim GJ (2011) Organizing and presenting geospatial tags in location-based augmented reality. Pers Ubiquit Comput 15(6):641–647
Dearman D, Inkpen M, Truong N (2010) Mobile map interactions during a rendezvous: exploring the implications of automation. Pers Ubiquit Comput 14(1):1–13
Hourcade P, Rest B, Hansen E (2012) Multitouch tablet applications and activities to enhance the social skills of children with autism spectrum disorders. Pers Ubiquit Comput 16(2):157–168
Hynes M, Wang H, McCarrick E, Kilmartin L (2011) Accurate monitoring of human physical activity levels for medical diagnosis and monitoring using off-the-shelf cellular handsets. Pers Ubiquit Comput 15(7):667–678
Iqbal B, Iqbal A, Obaidli HA (2012) A novel method of iDevice (iPhone, iPad, iPod) forensics without jailbreaking. 2012 International Conference on Innovations in Information Technology, pp. 238–243
Jung YG, Han MS, Chung KY, Lee SJ (2011) A study of a valid frequency range using correlation analysis of throat signal. Inf Int Interdisc J 14(11):3791–3799
Kim SH, Chung KY (2013) 3D simulator for stability analysis of finite slope causing plane activity. Multimed Tools Appl. doi:10.1007/s11042-013-1356-5
Kim JH, Chung KY (2013) Ontology-based healthcare context information model to implement ubiquitous environment. Multimed Tools Appl. doi:10.1007/s11042-011-0919-6
Kim SH, Chung KY (2013) Medical information service system based on human 3D anatomical model. Multimed Tools Appl. doi:10.1007/s11042-013-1584-8
Kim GH, Kim YG, Chung KY (2013) Towards virtualized and automated software performance test architecture. Multimed Tools Appl. doi:10.1007/s11042-013-1536-3
Kim JH, Lee D, Chung KY (2013) Item recommendation based on context-aware model for personalized u-healthcare service. Multimed Tools Appl. doi:10.1007/s11042-011-0920-0
Kim H, Reitmayr G, Woo W (2013) IMAF: in situ indoor modeling and annotation frame-work on mobile phones. Pers Ubiquit Comput 17(3):571–582
Ko JW, Chung KY, Han JS (2013) Model transformation verification using similarity and graph comparison algorithm. Multimed Tools Appl. doi:10.1007/s11042-013-1581-y
Koufi V, Malamateniou F, Vassilacopoulos G (2010) A system for the provision of medical diagnostic and treatment advice in home care environment. Pers Ubiquit Comput 14(6):551–561
Kubi AK, Saleem S, Popov O (2011) Evaluation of some tools for extracting e-evidence from mobile devices. Proc. of the International Conference on Application of Information and Communication Technologies, pp. 1–6
Kuntze N, Rudolph C (2011) Secure digital chains of evidence. Proc. of the IEEE Inter-national Workshop on Systematic Approaches to Digital Forensic Engineering, pp. 1–8
Lee KD, Nam MY, Chung KY, Lee YH, Kang UG (2013) Context and profile based cascade classifier for efficient people detection and safety care system. Multimed Tools Appl 63(1):27–44
Lim JH, Song CW, Chung KY, Rim KW, Lee JH (2012) Forensic evidence collection procedures of smartphone in crime scene. Proc. of the 2th International Conference IT Convergence and Security 2012, LNEE 215, pp. 711–718, Springer
Lin IL, Chao HC, Peng SH (2011) Research of digital evidence forensics standard operating procedure with comparison and analysis based on smart phone. Proc. of the International Conference on Broadband and Wireless Computing, Communication and Applications, pp. 386–391
Lopez P, Orfila A, Palomar E, Castro H (2012) A secure distance-based RFID identification protocol with an off-line back-end database. Pers Ubiquit Comput 16(3):351–365
Moreland D, Nepal S, Hwang H, Zic J (2010) A snapshot of trusted personal devices applicable to transaction processing. Pers Ubiquit Comput 14(4):347–361
Oh SY, Chung KY (2013) Target speech feature extraction using non-parametric correlation coefficient. Clust Comput. doi:10.1007/s10586-013-0284-5
Otani T, Kobayashi H (2013) A SCADA system using mobile agents for a next-generation distribution system. IEEE Trans Power Deliv. doi:10.1109/TPWRD.2012.2222055
Portet F, Vacher M, Golanski C, Roux C, Meillon B (2013) Design and evaluation of a smart home voice interface for the elderly: acceptability and objection aspects. Pers Ubiquit Comput 17(1):127–144
Raghav S, Saxena AK (2009) Mobile forensics: guidelines and challenges in data preservation and acquisition. 2009 I.E. Student Conference on Research and Development, pp. 5–8
Said H, Yousif A, Humaid H (2011) IPhone forensics techniques and crime investigation. Proc. of the International Conference and Workshop on Current Trends in Information Technology, pp. 120–125
Salmela L, Tarhio J, Kalsi P (2007) Approximate Boyer-Moore string matching for small alphabets. Proceedings of String Processing and Information Retrieval, pp. 173–183
Song CW, Chung KY, Jung JJ, Rim KW, Lee JH (2011) Localized approximation method using inertial compensation in WSNs. Inf Int Interdisc J 14(11):3591–3600
Song CW, Lee D, Chung KY, Rim KW, Lee JH (2013) Interactive middleware architecture for lifelog based context awareness. Multimed Tools Appl. doi:10.1007/s11042-013-1362-7
Song CW, Lim JH, Chung KY, Rim KW, Lee JH (2012) Fast data acquisition with mobile device in digital crime. Proc. of the 2th International Conference IT Convergence and Security 2012, LNEE 215, pp. 711–718, Springer
Wu S (1994) A fast algorithm for multi-pattern searching. Technical Report Department of Computer Science Chung-Cheng University
Zareen A, Baig S (2010) Mobile phone forensics: challenges, analysis and tools classification. Proc. of the IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering, pp. 47–55
Zhang Y, Huang H, Yang D, Zhang H, Chao HC, Huang YM (2009) Bring QoS to P2P-based semantic service discovery for the universal network. Pers Ubiquit Comput 13(7):1–13
Zheng K, Zheng Y, Yuan NJ, Shang S (2013) On discovery of gathering patterns from trajectories. 2013 I.E. 29th International Conference on Data Engineering, pp. 242–253
National Institute of Justice (2009) Electronic Crime Scene Investigation: An On-the-Scene Reference for First Responders
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This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2013R1A1A2059964).
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Song, CW., Chung, KY. & Lee, JH. Catching up faster data in digital crime using mobile devices. Multimed Tools Appl 74, 9007–9016 (2015). https://doi.org/10.1007/s11042-013-1725-0
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DOI: https://doi.org/10.1007/s11042-013-1725-0