• DocumentCode
    3447894
  • Title

    Statistical Sampling Approach to Investigate Child Pornography Cases

  • Author

    Sarantinos, Nikolaos ; Al-Nemrat, Ameer ; Naeem, Umair

  • Author_Institution
    Sch. of Archit., Comput. & Eng., Univ. of East London, London, UK
  • fYear
    2013
  • fDate
    21-22 Nov. 2013
  • Firstpage
    22
  • Lastpage
    29
  • Abstract
    One of the pressing issues in cyber crime is to carry out efficient investigation in child pornography cases. The work in this paper presents an in-depth understanding and deployment of statistical analysis methodologies in the field of digital forensic, with the linkage of the MD5 hash value in conducting forensic investigations. More precisely, it highlights the challenges that forensic investigators are facing during an examination, such as the amount or the content of data. Furthermore, the paper presents the margins of forensic software when dealing with large quantities of data, and how the use of statistical analysis assists in reducing the investigation time and improving effectiveness and efficiency.
  • Keywords
    computer crime; cryptography; digital forensics; sampling methods; MD5 hash value; child pornography cases; cyber crime; data content; data quantities; digital forensic; effectiveness improvement; efficiency improvement; forensic software margins; investigation time reduction; statistical analysis methodologies; statistical sampling approach; Bayes methods; Digital forensics; Sociology; Statistical analysis; Bayesian statistics; Hash values; Hypergeometric distribution; MD5; Probability; SHA-1; Sampling design; Statistical sampling Methodologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybercrime and Trustworthy Computing Workshop (CTC), 2013 Fourth
  • Conference_Location
    Sydney NSW
  • Print_ISBN
    978-1-4799-3075-3
  • Type

    conf

  • DOI
    10.1109/CTC.2013.14
  • Filename
    6754637