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DTSTART:20260329T030000
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SUMMARY:Python in the Service of Justice: Modern Analysis Tools in Forensi
 cs - Aleksander\, Amelia Bartosiak
DTSTART;TZID=Poland:20260717T114500
DTEND;TZID=Poland:20260717T121500
DTSTAMP:20260823T012514Z
UID:pretalx-europython-2026-PQCHT3@programme.europython.eu
DESCRIPTION:The presentation will discuss practical applications of Python
  in technologies used in forensic science. In an era of growing cybercrime
  and digitalization of evidence\, Python has become an essential tool for 
 forensics specialists\, offering powerful libraries for data analysis\, pr
 ocess automation and processing complex information structures. Participan
 ts will gain insights into spanning multiple domains of forensic investiga
 tion\, including:\n\n- mobile device analysis\, \n- network traffic examin
 ation\,\n- memory forensics\,\n- automated report generation.\n\nWe will a
 nalyze how Python libraries parse SQLite databases in messaging applicatio
 ns like WhatsApp and iMessage\, also examine tools for analyzing iOS file 
 formats including PLIST and XML structures and techniques for extracting d
 ata from disk images using pytsk3 or libewf. Network analysis will showcas
 e Scapy for packet analysis and Dpkt for parsing capture files\, demonstra
 ting how Python analyzes Windows Event Logs and Linux syslog to reconstruc
 t activity timelines.\n\nMemory forensics will be explored through the Vol
 atility Framework for analyzing RAM dumps and recovering volatile data. We
  will discuss recovering deleted files\, extracting metadata\, and analyzi
 ng browser artifacts. Cryptographic analysis using hashlib will demonstrat
 e integrity verification\, encrypted file analysis\, and cipher breaking t
 echniques essential for maintaining chain of custody.\nData visualization 
 using Matplotlib\, Seaborn\, and NetworkX will show how to create compelli
 ng visual representations of timelines and connection networks. Automated 
 report generation with ReportLab and python-docx streamlines professional 
 expert report creation.\n\nThe presentation emphasizes real-world applicat
 ions with dusscussion about Python scripts processing realistic datasets\,
  illustrating how multiple Python tools integrate into comprehensive inves
 tigation workflows\, demonstrating the synergistic effects of combining di
 fferent analytical approaches for actionable forensic intelligence.
LOCATION:S2
URL:https://programme.europython.eu/europython-2026/talk/PQCHT3/
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