메뉴 건너뛰기




Volumn 19, Issue 2, 2016, Pages 723-740

Big forensic data reduction: digital forensic images and electronic evidence

Author keywords

Big data; Big forensic data; Data reduction; Digital forensics; Forensic challenges; Forensic computing; Intelligence analysis

Indexed keywords

BIG DATA; COMPUTER CRIME; COMPUTER FORENSICS; DIGITAL DEVICES; DIGITAL FORENSICS; ELECTRONIC CRIME COUNTERMEASURES; HARDWARE; INFORMATION ANALYSIS; PURCHASING;

EID: 84961817119     PISSN: 13867857     EISSN: 15737543     Source Type: Journal    
DOI: 10.1007/s10586-016-0553-1     Document Type: Article
Times cited : (101)

References (66)
  • 1
    • 84991859271 scopus 로고    scopus 로고
    • Gartner. IT Glossary: Big Data. Accessed 21 July 2013
    • Gartner. IT Glossary: Big Data. http://www.gartner.com/it-glossary/big-data/ (2013). Accessed 21 July 2013
    • (2013)
  • 2
    • 84868585926 scopus 로고    scopus 로고
    • Digital forensics research: the next 10 years
    • Garfinkel, S.: Digital forensics research: the next 10 years. Digit. Investig. 7, S64–S73 (2010)
    • (2010) Digit. Investig. , vol.7 , pp. S64-S73
    • Garfinkel, S.1
  • 3
    • 84899108807 scopus 로고    scopus 로고
    • Digital forensic research: current state of the art
    • Raghavan, S.: Digital forensic research: current state of the art. CSI Trans. ICT 1(1), 91–114 (2013)
    • (2013) CSI Trans. ICT , vol.1 , Issue.1 , pp. 91-114
    • Raghavan, S.1
  • 4
    • 84991845456 scopus 로고    scopus 로고
    • FBI_RCFL: FBI Regional Computer Forensic Laboratory Annual Reports 2003–2012
    • FBI_RCFL: FBI Regional Computer Forensic Laboratory Annual Reports 2003–2012. 2003–2012; http://www.rcfl.gov/downloads
    • (2003)
  • 8
    • 84943526145 scopus 로고    scopus 로고
    • Digital Forensic Research: The Good, the Bad and the Unaddressed. Advances in Digital Forensics
    • Springer, Berlin
    • Beebe, N.: Digital Forensic Research: The Good, the Bad and the Unaddressed. Advances in Digital Forensics, pp. 17–36. Springer, Berlin (2009)
    • (2009) pp , vol.17-36
    • Beebe, N.1
  • 9
    • 19944384890 scopus 로고    scopus 로고
    • Risk sensitive digital evidence collection
    • Kenneally, E., Brown, C.: Risk sensitive digital evidence collection. Digit. Investig. 2(2), 101–119 (2005)
    • (2005) Digit. Investig. , vol.2 , Issue.2 , pp. 101-119
    • Kenneally, E.1    Brown, C.2
  • 10
    • 84907216860 scopus 로고    scopus 로고
    • Sniper Forensics
    • Greiner, L.: Sniper Forensics. netWorker 13(4), 8–10 (2009)
    • (2009) netWorker , vol.13 , Issue.4 , pp. 8-10
    • Greiner, L.1
  • 11
    • 77950005794 scopus 로고    scopus 로고
    • Dealing with terabyte data sets in digital investigations
    • Springer, Berlin
    • Beebe, N., Clark, J.: Dealing with terabyte data sets in digital investigations. Advances in Digital Forensics, pp. 3–16. Springer, Berlin (2005)
    • (2005) Advances in Digital Forensics , pp. 3-16
    • Beebe, N.1    Clark, J.2
  • 12
    • 84991866229 scopus 로고    scopus 로고
    • Alzaabi, M., Jones, A., Martin, T.A.: , Security & Law, . In: 2013 Conference Supplement, pp. 121–135
    • Alzaabi, M., Jones, A., Martin, T.A.: An Ontology-Based Forensic Analysis Tool. Journal of Digital Forensics, Security & Law, 2013. In: 2013 Conference Supplement, pp. 121–135
    • (2013) An Ontology-Based Forensic Analysis Tool. Journal of Digital Forensics
  • 14
    • 70350511727 scopus 로고    scopus 로고
    • Investigation delayed is justice denied: proposals for expediting forensic examinations of digital evidence
    • Casey, E., Ferraro, M., Nguyen, L.: Investigation delayed is justice denied: proposals for expediting forensic examinations of digital evidence. J. Forensic Sci. 54(6), 1353–1364 (2009)
    • (2009) J. Forensic Sci. , vol.54 , Issue.6 , pp. 1353-1364
    • Casey, E.1    Ferraro, M.2    Nguyen, L.3
  • 15
    • 84883551334 scopus 로고    scopus 로고
    • Honing digital forensic processes
    • Casey, E., Katz, G., Lewthwaite, J.: Honing digital forensic processes. Digit. Investig. 10(2), 138–147 (2013)
    • (2013) Digit. Investig. , vol.10 , Issue.2 , pp. 138-147
    • Casey, E.1    Katz, G.2    Lewthwaite, J.3
  • 16
    • 84899624979 scopus 로고    scopus 로고
    • OpenLV: empowering investigators and first-responders in the digital forensics process
    • Vidas, T., Kaplan, B., Geiger, M.: OpenLV: empowering investigators and first-responders in the digital forensics process. Digit. Investig. 11, S45–S53 (2014)
    • (2014) Digit. Investig. , vol.11 , pp. S45-S53
    • Vidas, T.1    Kaplan, B.2    Geiger, M.3
  • 17
    • 84898006086 scopus 로고    scopus 로고
    • Applicability of latent Dirichlet allocation to multi-disk search
    • Noel, G.E., Peterson, G.L.: Applicability of latent Dirichlet allocation to multi-disk search. Digit. Investig. 11(1), 43–56 (2014)
    • (2014) Digit. Investig. , vol.11 , Issue.1 , pp. 43-56
    • Noel, G.E.1    Peterson, G.L.2
  • 18
    • 84911429899 scopus 로고    scopus 로고
    • Knowle: a semantic link network based system for organizing large scale online news events
    • Xu, Z., et al.: Knowle: a semantic link network based system for organizing large scale online news events. Future Gener. Comput. Syst. 43, 40–50 (2015)
    • (2015) Future Gener. Comput. Syst. , vol.43 , pp. 40-50
    • Xu, Z.1
  • 19
    • 85018492386 scopus 로고    scopus 로고
    • Crowdsourcing based social media data analysis of urban emergency events
    • Xu, Z., et al.: Crowdsourcing based social media data analysis of urban emergency events. In: Multimedia Tools and Applications, pp. 1–18, 2015
    • (2015) Multimedia Tools and Applications , pp. 1-18
    • Xu, Z.1
  • 20
    • 84975631777 scopus 로고    scopus 로고
    • Crowdsourcing based description of urban emergency events using social media big data
    • Xu, Z., et al.: Crowdsourcing based description of urban emergency events using social media big data. In: IEEE Transactions on Cloud Computing, PP(99): pp. 1–1, 2016
    • (2016) IEEE Transactions on Cloud Computing, PP(99) , pp. 1
    • Xu, Z.1
  • 22
    • 84883551275 scopus 로고    scopus 로고
    • Triage: a practical solution or admission of failure
    • Pollitt, M.M.: Triage: a practical solution or admission of failure. Digit. Investig. 10(2), 87–88 (2013)
    • (2013) Digit. Investig. , vol.10 , Issue.2 , pp. 87-88
    • Pollitt, M.M.1
  • 23
    • 3042816360 scopus 로고    scopus 로고
    • Current issues confronting well-established computer-assisted child exploitation and computer crime task forces
    • Ferraro, M.M., Russell, A.: Current issues confronting well-established computer-assisted child exploitation and computer crime task forces. Digit. Investig. 1(1), 7–15 (2004)
    • (2004) Digit. Investig. , vol.1 , Issue.1 , pp. 7-15
    • Ferraro, M.M.1    Russell, A.2
  • 24
    • 33847357771 scopus 로고    scopus 로고
    • Applying a forensic approach to incident response, network investigation and system administration using Digital Evidence Bags
    • Turner, P.: Applying a forensic approach to incident response, network investigation and system administration using Digital Evidence Bags. Digit. Investig. 4(1), 30–35 (2007)
    • (2007) Digit. Investig. , vol.4 , Issue.1 , pp. 30-35
    • Turner, P.1
  • 26
    • 84883551108 scopus 로고    scopus 로고
    • On-scene triage open source forensic tool chests: are they effective?
    • Shiaeles, S., Chryssanthou, A., Katos, V.: On-scene triage open source forensic tool chests: are they effective? Digit. Investig. 10(2), 99–115 (2013)
    • (2013) Digit. Investig. , vol.10 , Issue.2 , pp. 99-115
    • Shiaeles, S.1    Chryssanthou, A.2    Katos, V.3
  • 27
    • 85083946044 scopus 로고    scopus 로고
    • Roussev, V., Richard, G.: Breaking the performance wall: The case for distributed digital forensics, . , Vol. 94
    • Roussev, V., Richard, G.: Breaking the performance wall: The case for distributed digital forensics, 2004. In: Proceedings of the 2004 Digital Forensics Research Workshop, Vol. 94
    • (2004) In: Proceedings of the 2004 Digital Forensics Research Workshop
  • 28
    • 84868561949 scopus 로고    scopus 로고
    • High-speed search using Tarari content processor in digital forensics
    • Lee, J., Un, S., Hong, D.: High-speed search using Tarari content processor in digital forensics. Digit. Investig. 5, S91–S95 (2008)
    • (2008) Digit. Investig. , vol.5 , pp. S91-S95
    • Lee, J.1    Un, S.2    Hong, D.3
  • 29
    • 84873127082 scopus 로고    scopus 로고
    • Pringle, N., Sutherland, I.: Is a Computational Grid a Suitable Platform for High Performance Digital Forensics? , Academic Conferences Limited, p. 175
    • Pringle, N., Sutherland, I.: Is a Computational Grid a Suitable Platform for High Performance Digital Forensics? In: Proceedings of the 7th European Conference on Information Warfare and Security 2008, Academic Conferences Limited, p. 175
    • (2008) In: Proceedings of the 7th European Conference on Information Warfare and Security
  • 30
    • 14544299160 scopus 로고    scopus 로고
    • The future of forensic computing
    • Sheldon, A.: The future of forensic computing. Digit. Investig. 2(1), 31–35 (2005)
    • (2005) Digit. Investig. , vol.2 , Issue.1 , pp. 31-35
    • Sheldon, A.1
  • 31
    • 33746000061 scopus 로고    scopus 로고
    • XIRAF—XML-based indexing and querying for digital forensics
    • Alink, W., et al.: XIRAF—XML-based indexing and querying for digital forensics. Digit. Investig. 3, 50–58 (2006)
    • (2006) Digit. Investig. , vol.3 , pp. 50-58
    • Alink, W.1
  • 32
    • 84870254143 scopus 로고    scopus 로고
    • Engineering an online computer forensic service
    • Bhoedjang, R.A.F., et al.: Engineering an online computer forensic service. Digit. Investig. 9(2), 96–108 (2012)
    • (2012) Digit. Investig. , vol.9 , Issue.2 , pp. 96-108
    • Bhoedjang, R.A.F.1
  • 33
    • 30344488429 scopus 로고    scopus 로고
    • The contribution of forensic science to crime analysis and investigation: forensic intelligence
    • Ribaux, O., Walsh, S.J., Margot, P.: The contribution of forensic science to crime analysis and investigation: forensic intelligence. Forensic Sci. Int. 156(2), 171–181 (2006)
    • (2006) Forensic Sci. Int. , vol.156 , Issue.2 , pp. 171-181
    • Ribaux, O.1    Walsh, S.J.2    Margot, P.3
  • 36
    • 85130734369 scopus 로고    scopus 로고
    • Knowledge discovery and data mining: towards a unifying framework
    • Fayyad, U., Piatetsky-Shapiro, G.: Knowledge discovery and data mining: towards a unifying framework. In: KDD, pp. 82–88, 1996
    • (1996) KDD , pp. 82-88
    • Fayyad, U.1    Piatetsky-Shapiro, G.2
  • 37
    • 33845532477 scopus 로고    scopus 로고
    • Forensic relative strength scoring: ASCII and entropy scoring
    • Shannon, M.: Forensic relative strength scoring: ASCII and entropy scoring. Int. J. Digit. Evid. 2(4), 151–169 (2004)
    • (2004) Int. J. Digit. Evid. , vol.2 , Issue.4 , pp. 151-169
    • Shannon, M.1
  • 38
    • 84930520292 scopus 로고    scopus 로고
    • Particle swarm optimization based dictionary learning for remote sensing big data
    • Wang, L., et al.: Particle swarm optimization based dictionary learning for remote sensing big data. Knowl. Based Syst. 79, 43–50 (2015)
    • (2015) Knowl. Based Syst. , vol.79 , pp. 43-50
    • Wang, L.1
  • 39
    • 84906572582 scopus 로고    scopus 로고
    • IK-SVD: dictionary learning for spatial big data via incremental atom update
    • Wang, L., et al.: IK-SVD: dictionary learning for spatial big data via incremental atom update. Comput. Sci. Eng. 16(4), 41–52 (2014)
    • (2014) Comput. Sci. Eng. , vol.16 , Issue.4 , pp. 41-52
    • Wang, L.1
  • 40
    • 84954563842 scopus 로고    scopus 로고
    • Towards building a data-intensive index for big data computing—a case study of remote sensing data processing
    • Ma, Y., et al.: Towards building a data-intensive index for big data computing—a case study of remote sensing data processing. In: Information Sciences, 2014
    • (2014) Information Sciences
    • Ma, Y.1
  • 41
    • 85052185060 scopus 로고    scopus 로고
    • Selective imaging: creating efficient forensic images by selecting content first
    • Stüttgen, J.: Selective imaging: creating efficient forensic images by selecting content first. Mannheim University, 2011
    • (2011) Mannheim University
    • Stüttgen, J.1
  • 42
    • 78651545956 scopus 로고    scopus 로고
    • Forensic feature extraction and cross-drive analysis
    • Garfinkel, S.L.: Forensic feature extraction and cross-drive analysis. Digit. Investig. 3, 71–81 (2006)
    • (2006) Digit. Investig. , vol.3 , pp. 71-81
    • Garfinkel, S.L.1
  • 43
    • 84883554056 scopus 로고    scopus 로고
    • A practical and robust approach to coping with large volumes of data submitted for digital forensic examination
    • Shaw, A., Browne, A.: A practical and robust approach to coping with large volumes of data submitted for digital forensic examination. Digit. Investig. 10(2), 116–128 (2013)
    • (2013) Digit. Investig. , vol.10 , Issue.2 , pp. 116-128
    • Shaw, A.1    Browne, A.2
  • 44
    • 84938976836 scopus 로고    scopus 로고
    • Rapid forensic acquisition of large media with sifting collectors
    • Grier, J., Richard III, G.G.: Rapid forensic acquisition of large media with sifting collectors. Digit. Investig. 2015(14), S34–S44 (2015)
    • (2015) Digit. Investig. , vol.2015 , Issue.14 , pp. S34-S44
    • Grier, J.1    Richard, G.G.2
  • 45
    • 84907215855 scopus 로고    scopus 로고
    • Data reduction and data mining framework for digital forensic evidence: storage, intelligence, review and archive. Trends Issues Crime Crim
    • Quick, D., Choo, K.-K.R.: Data reduction and data mining framework for digital forensic evidence: storage, intelligence, review and archive. Trends Issues Crime Crim. Justice 480, 1–11 (2014)
    • (2014) Justice , vol.480 , pp. 1-11
    • Quick, D.1    Choo, K.-K.R.2
  • 48
    • 84991910551 scopus 로고    scopus 로고
    • NIJ: Forensic Examination of Digital Evidence: A Guide for Law Enforcement
    • NIJ: Forensic Examination of Digital Evidence: A Guide for Law Enforcement, 2004. http://nij.gov/nij/pubs-sum/199408.htm
    • (2004)
  • 49
    • 85015273146 scopus 로고    scopus 로고
    • A forensic acquisition and analysis system for IaaS
    • Alqahtany, S., et al.: A forensic acquisition and analysis system for IaaS. In: Cluster Computing, pp. 1–15, 2015
    • (2015) Cluster Computing , pp. 1-15
    • Alqahtany, S.1
  • 50
    • 84903603461 scopus 로고    scopus 로고
    • Semantic link network-based model for organizing multimedia big data
    • Hu, C., et al.: Semantic link network-based model for organizing multimedia big data. IEEE Trans. Emerg. Top. Comput. 2(3), 376–387 (2014)
    • (2014) IEEE Trans. Emerg. Top. Comput. , vol.2 , Issue.3 , pp. 376-387
    • Hu, C.1
  • 51
    • 84923248155 scopus 로고    scopus 로고
    • Semantic based representing and organizing surveillance big data using video structural description technology
    • Xu, Z., et al.: Semantic based representing and organizing surveillance big data using video structural description technology. J. Syst. Softw. 102, 217–225 (2015)
    • (2015) J. Syst. Softw. , vol.102 , pp. 217-225
    • Xu, Z.1
  • 52
    • 84946498612 scopus 로고    scopus 로고
    • Video structural description technology for the new generation video surveillance systems
    • Hu, C., et al.: Video structural description technology for the new generation video surveillance systems. Front. Comput. Sci. 9(6), 980–989 (2015)
    • (2015) Front. Comput. Sci. , vol.9 , Issue.6 , pp. 980-989
    • Hu, C.1
  • 53
    • 84988388814 scopus 로고    scopus 로고
    • Semantic enhanced cloud environment for surveillance data management using video structural description
    • Xu, Z., et al.: Semantic enhanced cloud environment for surveillance data management using video structural description. In: Computing, pp. 1–20, 2014
    • (2014) Computing , pp. 1-20
    • Xu, Z.1
  • 54
    • 84954311506 scopus 로고    scopus 로고
    • Automatic facial emotion recognition using weber local descriptor for e-Healthcare system
    • Alhussein, M.: Automatic facial emotion recognition using weber local descriptor for e-Healthcare system. In: Cluster Computing, pp. 1–10, 2016
    • (2016) Cluster Computing , pp. 1-10
    • Alhussein, M.1
  • 55
    • 84864600197 scopus 로고    scopus 로고
    • The use of random sampling in investigations involving child abuse material
    • Jones, B., Pleno, S., Wilkinson, M.: The use of random sampling in investigations involving child abuse material. Digit. Investig. 9, S99–S107 (2012)
    • (2012) Digit. Investig. , vol.9 , pp. S99-S107
    • Jones, B.1    Pleno, S.2    Wilkinson, M.3
  • 56
    • 68649110054 scopus 로고    scopus 로고
    • Bringing science to digital forensics with standardized forensic corpora
    • Garfinkel, S., et al.: Bringing science to digital forensics with standardized forensic corpora. Digit. Investig. 6, S2–S11 (2009)
    • (2009) Digit. Investig. , vol.6 , pp. S2-S11
    • Garfinkel, S.1
  • 57
    • 74749094583 scopus 로고    scopus 로고
    • Intelligence-led crime scene processing. Part I: Forensic intelligence
    • Ribaux, O., et al.: Intelligence-led crime scene processing. Part I: Forensic intelligence. Forensic Sci. Int. 195(1–3), 10–16 (2010)
    • (2010) Forensic Sci. Int. , vol.195 , Issue.1-3 , pp. 10-16
    • Ribaux, O.1
  • 58
    • 79960112691 scopus 로고    scopus 로고
    • Building association link network for semantic link on web resources
    • Luo, X., et al.: Building association link network for semantic link on web resources. IEEE Trans. Autom. Sci. Eng. 8(3), 482–494 (2011)
    • (2011) IEEE Trans. Autom. Sci. Eng. , vol.8 , Issue.3 , pp. 482-494
    • Luo, X.1
  • 59
    • 84892524042 scopus 로고    scopus 로고
    • Measuring the semantic discrimination capability of association relations
    • Xu, Z., et al.: Measuring the semantic discrimination capability of association relations. Concurr. Comput. 26(2), 380–395 (2014)
    • (2014) Concurr. Comput. , vol.26 , Issue.2 , pp. 380-395
    • Xu, Z.1
  • 60
    • 84900841698 scopus 로고    scopus 로고
    • Generating temporal semantic context of concepts using web search engines
    • Xu, Z., et al.: Generating temporal semantic context of concepts using web search engines. J. Netw. Comput. Appl. 43, 42–55 (2014)
    • (2014) J. Netw. Comput. Appl. , vol.43 , pp. 42-55
    • Xu, Z.1
  • 61
    • 84934978192 scopus 로고    scopus 로고
    • Online comment-based hotel quality automatic assessment using improved fuzzy comprehensive evaluation and fuzzy cognitive map
    • Wei, X., et al.: Online comment-based hotel quality automatic assessment using improved fuzzy comprehensive evaluation and fuzzy cognitive map. IEEE Trans. Fuzzy Syst. 23(1), 72–84 (2015)
    • (2015) IEEE Trans. Fuzzy Syst. , vol.23 , Issue.1 , pp. 72-84
    • Wei, X.1
  • 62
    • 84901641463 scopus 로고    scopus 로고
    • Mining temporal explicit and implicit semantic relations between entities using web search engines
    • Xu, Z., et al.: Mining temporal explicit and implicit semantic relations between entities using web search engines. Future Gener. Comput. Syst. 37, 468–477 (2014)
    • (2014) Future Gener. Comput. Syst. , vol.37 , pp. 468-477
    • Xu, Z.1
  • 63
    • 84991850943 scopus 로고    scopus 로고
    • Xuan, J., et al.: Uncertainty analysis for the keyword system of web events
    • Xuan, J., et al.: Uncertainty analysis for the keyword system of web events, 2015
    • (2015)
  • 64
    • 84969891769 scopus 로고    scopus 로고
    • Geographical information system parallelization for spatial big data processing: a review
    • Zhao, L., et al.: Geographical information system parallelization for spatial big data processing: a review. In: Cluster Computing, pp. 1–14, 2015
    • (2015) Cluster Computing , pp. 1-14
    • Zhao, L.1
  • 65
    • 84925534015 scopus 로고    scopus 로고
    • Surveillance of anomaly and misuse in critical networks to counter insider threats using computational intelligence
    • Punithavathani, D.S., Sujatha, K., Jain, J.M.: Surveillance of anomaly and misuse in critical networks to counter insider threats using computational intelligence. Clust. Comput. 18(1), 435–451 (2015)
    • (2015) Clust. Comput. , vol.18 , Issue.1 , pp. 435-451
    • Punithavathani, D.S.1    Sujatha, K.2    Jain, J.M.3
  • 66
    • 84991888349 scopus 로고    scopus 로고
    • Techniques and countermeasures of website/wireless traffic analysis and fingerprinting
    • Ghaleb, T.A.: Techniques and countermeasures of website/wireless traffic analysis and fingerprinting. In: Cluster Computing, pp. 1–12, 2015
    • (2015) Cluster Computing , pp. 1-12
    • Ghaleb, T.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.