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Volumn 114 LNICST, Issue , 2013, Pages 167-182

Similarity preserving hashing: Eligible properties and a new algorithm MRSH-V2

Author keywords

Digital forensics; Fuzzy hashing; MRSH v2; Properties of similarity preserving hashing; Similarity preserving hashing

Indexed keywords

COMPUTER CRIME; CRIME; DIGITAL FORENSICS; ELECTRONIC CRIME COUNTERMEASURES; HASH FUNCTIONS;

EID: 84982802386     PISSN: 18678211     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-39891-9_11     Document Type: Conference Paper
Times cited : (54)

References (18)
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    • Data fingerprinting with similarity digests
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    • Roussev, V.: Data fingerprinting with similarity digests. In: Chow, K.-P., Shenoi, S. (eds.) Advances in Digital Forensics VI. IFIP AICT, vol. 337, pp. 207–226. Springer, Heidelberg (2010)
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    • Roussev, V.1
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    • Tridgell, A.1
  • 9
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    • Detecting Similar Files Based on Hash and Statistical Analysis for Digital Forensic Investigation
    • Seo, K., Lim, K., Choi, J., Chang, K., Lee, S.: Detecting Similar Files Based on Hash and Statistical Analysis for Digital Forensic Investigation. In: Computer Science and its Applications (CSA 2009), pp. 1–6 (December 2009)
    • (2009) Computer Science and Its Applications (CSA 2009 , pp. 1-6
    • Seo, K.1    Lim, K.2    Choi, J.3    Chang, K.4    Lee, S.5
  • 10
    • 84873978753 scopus 로고    scopus 로고
    • Performance Issues About Context-Triggered Piecewise Hashing
    • Gladyshev, P., Rogers, M.K. (eds.), Springer, Heidelberg
    • Breitinger, F., Baier, H.: Performance Issues About Context-Triggered Piecewise Hashing. In: Gladyshev, P., Rogers, M.K. (eds.) ICDF2C 2011. LNICST, vol. 88, pp. 141–155. Springer, Heidelberg (2012)
    • (2012) ICDF2C 2011. LNICST , vol.88 , pp. 141-155
    • Breitinger, F.1    Baier, H.2
  • 12
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    • Master’s thesis, Hochschule Darmstadt (February
    • Breitinger, F.: Security Aspects of Fuzzy Hashing. Master’s thesis, Hochschule Darmstadt (February 2011), https://www.dasec.h-da.de/offerings/theses/
    • (2011) Security Aspects of Fuzzy Hashing
    • Breitinger, F.1
  • 13
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    • Building a Better Similarity Trap with Statistically Improbable Features
    • Roussev, V.: Building a Better Similarity Trap with Statistically Improbable Features. In: 42nd Hawaii International Conference on System Sciences, pp. 1–10 (2009)
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    • Bloom, B.H.: Space/time trade-offs in hash coding with allowable errors. Communications of the ACM 13, 422–426 (1970)
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    • An evaluation of forensic similarity hashes
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.