"Grand Challenges" of Log Management

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    Notes on slide 1

    Talk points: Involvement invention separate team Past skills and experiences Thought about it!

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    "Grand Challenges" of Log Management - Presentation Transcript

    1. “ Grand Challenges” of Log Management Dr Anton Chuvakin Chief Logging Evangelist LogLogic, Inc Mitigating Risk. Automating Compliance.
    2. Who is Anton?
      • Dr. Anton Chuvakin from LogLogic “is probably the number one authority on system logging in the world ”
      • SANS Institute (2008)
      • ( http://www.sans.edu/resources/securitylab/loglogic_chuvakin.php )
    3. Outline
      • Log Management Intro
      • Innovation: BIG vs Small
        • Step away from small, tactical “issues” for a second …
      • “ Grand Challenges” of Log Management
      • How you can help?!
    4. Why “Grand Challenges”?
      • Log management BIG and unsolved problems that cause major pain!
      • Problems that people tried to solve – and FAILED!
      • From collection to decision-making based on logs; from compliance to security and operations; from today’s log sources to the future – there are challenges everywhere!
    5. GC1 – Secure and Reliable Log Collection
      • Challenge
        • To collect the logs securely, reliably AND without heavy management overhead and complexity of access
      • Why a grand challenge?
        • Agents vs remote grabbing vs stream: all suck. Security and reliability cost major management overhead
      • Current approaches?
        • Agents + remote grab (administrator access) + stream (syslog)
      • Why still a challenge?
        • All approaches have critical drawbacks
    6. GC2 - Log Parsing and Regexs
      • Challenge
        • To turn logs into information, one needs to parse them; to parse them one needs [typically] expert-created regular expressions (regex’s)
      • Why a grand challenge?
        • Every log type requires hand-writing a set of regexes
      • Current approaches?
        • UIs, “semi-auto”/assisted regex creators, limited auto-extraction, choosing not to parse, etc
      • Why still a challenge?
        • Despite all tools, log expert must create the rules
    7. GC3 – Fast Ad Hoc Summarization
      • Challenge
        • Everybody wants reports on this and that NOW! They rarely know what is ‘this’ and ‘that’
      • Why a grand challenge?
        • Its either fast or ad hoc, not both. Users want both!
      • Current approaches?
        • Database tuning; custom indices; “non-RDBMS with a little bit of RDBMS”
      • Why still a challenge?
        • None really work or require expert tuning; pick lesser evil
    8. GC4 – Automated Meaning Extraction
      • Challenge
        • Automatically analyze logs and gain useful information, across domains (security, ops, compliance)
      • Why a grand challenge?
        • Log analysis is heavily manual, interpretative and domain- and system-specific
      • Current approaches?
        • Rule-based, summarization, filtering, minimum anomaly detection
      • Why still a challenge?
        • “ Log analysis is an art, not science” -> no automation
    9. GC5 – Scalable Data Presentation
      • Challenge
        • How to present log massive volumes of log data to users to help them solve their problems across domains
      • Why a grand challenge?
        • Tables, pie charts, graphs all leave much to be desired; lose information and don’t scale
      • Current approaches?
        • Table, pie/bar chart, graphs, “advanced” visualization
      • Why still a challenge?
        • No effective method is invented yet
    10. GC6 – “Fuzzy” Search
      • Challenge
        • How to find the “right” log message (s) without knowing what to look for, exactly?
      • Why a grand challenge?
        • Many uses of logs require searching but users often don’t know what to look for
      • Current approaches?
        • Trying keywords + wildcards + refining search as we go
      • Why still a challenge?
        • No method to incorporate uncertainty in search is found yet
    11. Call to Action!
      • Simple 
      • Pick a challenge and solve it!!!
      • Come to discuss!!
      • Act on ideas!
      • Send ideas!
      • Explore!
    12. Thank You!
      • Anton Chuvakin, Ph.D. www.chuvakin.org
      • Chief Logging Evangelist
      • LogLogic, Inc www.loglogic.com
      • See www.info-secure.org for my papers, books, reviews
      • and other security and logging resources.
      • Subscribe to my blog at www.securitywarrior.org
    13. Further Reading / Blog Posts
      • “Idea Log Management Tool” ( http://chuvakin.blogspot.com/2007/11/ideal-log-management-tool.html )
      • “Future Problems -1” ( http://chuvakin.blogspot.com/2008/06/ideal-tool-to-solve-real-problems-of.html )
      • “Future Problems -2” ( http://chuvakin.blogspot.com/2008/08/ideal-tool-to-solve-real-problems-of.html )
    14. Other Candidate Challenges
    15. GCC1 – “Bad” Logs
      • Challenge
        • Many logs just don’t have the right information in them; correlated logs; logs w missing info; multi-file logs, etc
      • Why a grand challenge?
        • Making sense of logs is hard if key information is missing
      • Current approaches?
        • Ignore the problem, try to manually enrich the information from other sources
      • Why still a challenge?
        • The above doesn’t help; deeper change in how logging is done is probably needed
    16. GCC2 – Log Chaos
      • Challenge
        • Logs come in a dizzying variety of formats, via different ports, they look different – how do we understand them?
      • Why a grand challenge?
        • Lack of log standards make log analysis unreliable and complex art
      • Current approaches?
        • Take logs one by one; write regexes or index
      • Why still a challenge?
        • No log standard has been created yet; CEE is working on it! ( http://cee.mitre.org )
    17. GCC3 – Unified Log Storage Data Model
      • Challenge
        • Logs come in a dizzying variety of formats, some can be parsed, some can’t – how to store them for quick and smart access (not “slow and painful”)
      • Why a grand challenge?
        • Logs are just too different
      • Current approaches?
        • RDBMS (one vs many) vs flat files vs custom vs …
      • Why still a challenge?
        • Despite the effort, many limitations persists

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