Digital evidence and the information security manager

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    Digital evidence and the information security manager - Presentation Transcript

    1. Digital Evidence and the Information Security Manager
      Dr. Bradley Schatz
    2. About me
      Dr. Bradley Schatz | Forensic computer scientist
      Director, Schatz Forensic
      Adjunct Associate Professor, Information Security Institute (QUT)
      Ph.D. (Digital forensics), QUT, 2007
      B.Sc. (Computer science), UQ, 1995
    3. Agenda
      Characteristics of digital evidence
      Why prepare for digital evidence?
      Forensic readiness – the good, bad, & ugly
      Planning for forensic readiness
      Current and future challenges
    4. What is digital evidence?
    5. “Deleted” information is often retrievable
      Copy to other HDD
      Key points
      Exact copy – Inculpatory & Exculpatory
      Authentication – hash
      Timing
    6. Computers are littered with evidence of the user’s behaviour
    7. Ex-computer consultant convicted in “Google Murder” trial
      http://www.informationweek.com/news/security/cybercrime/showArticle.jhtml?articleID=174403074
    8. “Deleted” information is often retrievable
      Computer evidence is fragile
      Deleted: outlook/recycle bin
      Unallocated space
      Temporary files
      Backups
      Snapshots
      Synchronization
    9. Why prepare for producing digital evidence?
    10. Digital evidence is required when businesses face a threat that requires substantiation
      Controls fail
      Controls work
      Risks outside sphere of IS
      Assuring controls are effective
    11. Common realised risks requiring digital evidence
      Information theft
      Departing employees
      Data breach
      White collar crime/Workplace misconduct
      Fraud, Illicit content, Sexual harassment,
      Cause for termination
      General litigation
      Production of information
      Transaction records
    12. How do I increase my forensic readiness?
    13. IS policy & procedure should seek to maximise historical visibility
    14. IS policy & procedure should seek to maximise historical visibility
      Clock skew,
      Shared logins,
      Evidence handling,
      Quantity
    15. IS policy & procedure should seek to maximise historical visibility
      Clock skew,
      Shared logins,
      Evidence handling issues,
      Quantity
      “Personal” devices, Network traffic capture
    16. IS policy & procedure should seek to maximise historical visibility
      Clock skew,
      Shared logins,
      Evidence handling issues,
      Quantity
      “Personal” devices, Network traffic capture
      File access logs,
      Network flow records
    17. IS policy & procedure should seek to maximise historical visibility
      Clock skew,
      Shared logins,
      Evidence handling issues,
      Quantity
      “Personal” devices, Network traffic capture,
      Transient events
      File access logs,
      Network flow records
      Premature sanitization, inadvertent overwriting
    18. Forensic readinessThe good
    19. Forensic readiness working well
      Ex-worker said to steal Goldman code
      http://www.nytimes.com/2009/07/07/business/07goldman.html
    20. Forensic readiness working well
      Detection
      “alerted by a surge of data leaving its servers”
    21. Forensic readiness working well
      Detection
      “alerted by a surge of data leaving its servers”
      Claimed Actions
      “used his desktop computer … to upload a stream of code to website hosted by server in Germany”
      “later, downloaded the files again to his home computer, laptop computer and to a memory device”
    22. Forensic readinessThe bad
    23. Example 1: The “it’s my data too” syndrome
      SCENARIO: Key employee departs and sets up in competition.
      THREAT: Has she taken company secrets and is using them in her new business?
      INVESTIGATION: Identify high value information and seek evidence of information flow
      *http://pcworld.about.com/od/dataprotection/Nearly-Two-Thirds-of-Ex-Employ.htm
    24. Example 1: The “it’s my data too” syndrome
      • POTENTIAL DATA FLOWS:
    25. Example 1: The “it’s my data too” syndrome
      • POTENTIAL DATA FLOWS:
      • Laptop/Desktop storage
      • Laptop/Desktop network
      • Laptop/Desktop print
      • Laptop/Desktop Mobile device
      • Remote Terminal  Application
      • Fileserver  VPN Remote Laptop
    26. Example 1: The “it’s my data too” syndrome
      • SCENARIO: Copy from workstation to USB Thumb drive
      • POTENTIAL EVIDENCE TRACES:
      • USB Device insertion event
      • Internet explorer history (document open)
      • File access audit logs
      • MS Word recently opened documents
      • Evidence eliminator
      • ROADBLOCK:
      • Evidence destruction
      • Inability to identify operator
      • Expectation of privacy
      • Legal Considerations (Privacy)
      • NSW Workplace Surveillance Act,
      • ALRC Privacy Act Inquiry Report, VLRC Workplace Privacy Review
    27. Example 1: The “it’s my data too” syndrome
      • SCENARIO: Workstation Email
      • POTENTIAL EVIDENCE TRACES:
      • Sent Items box
      • Mail server logs
      • Archives
      • Web browser cache/history
      • Network flow trace
      • File access audit log
      • ROADBLOCK:
      • Inability to identify operator
      • Expectation of privacy
      • Cost of backup restoration
      • Legal Considerations (Privacy)
    28. Example 1: The “it’s my data too” syndrome
      • SCENARIO:
      • Corporate network  Personal laptop
      • POTENTIAL EVIDENCE TRACES:
      • Presence on the laptop
      • Deleted files
      • Prior examples
      • ROADBLOCKS:
      • Rightful access to laptop
      • Legal Considerations (Privacy)
    29. Example 1: The “it’s my data too” syndrome
      • SCENARIO:
      • Personal Laptop  Internet
      • POTENTIAL EVIDENCE TRACES:
      • Web browser history/cache
      • File access logs
      • Network trace
      • Network flow logs
      • ROADBLOCKS:
      • Rightful interception of telecommunications
      • Legal Considerations (Wiretap), (Cyber Crime)
      • Telecommunications (Interception & Access) Act
      • Cyber crime act
    30. Example 1: The “it’s my data too” syndrome
      • SCENARIO:
      • File Server  VPN Personal Laptop
      • POTENTIAL EVIDENCE TRACES:
      • File access logs
      • VPN Session Logs
      • Network trace
      • Network flow logs
      • Legal Considerations (Wiretap)
    31. Example 2: Email authenticity dispute
      • SCENARIO:
      • Litigation disputing an agreement. A single email is in dispute.
      • THREAT
      • Is the email authentic?
      • POTENTIAL EVIDENCE SOURCES:
      • Native email from inbox
      • Native email from archived backup
      • Mail server logs
      • Case Law: Montague v Montague [2002] NSWSC 328
    32. Forensic readinessThe ugly
    33. Data breach
      SCENARIO:
      External notification of data breach
      THREAT:
      • What was exposed?
      • How and when did intruders gain access?
      • Where are they?
      EVIDENCE SOURCES:
      Workstation, Server, Network trace, Memory dump
    34. Conclusion
    35. Forensic readiness in a nutshell
      Produce and collect evidential data
      What systems can further produce logs?
      Ensure rightful access to evidential data
      Policy, procedure, user expectation & practice
      Plan ahead for incident response
      Routine data destruction
      Usability of evidence oriented systems
      Ensure provenance and authenticity of preserved evidential data
      Forensic training
    36. Current and future challenges
      Behavioural logging and tracing
      Anomalous behaviour detection
      Real time enterprise visibility
      Document “DNA”
      Cloud computing
    37. Thank you!
      Dr. Bradley Schatz
      email: bradley@schatzforensic.com.au
      mobile: 0422 949 039

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