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Enhancing Network Log Anonymization with Crypto-PAn for Cisco Netflows

This paper discusses the application of Crypto-PAn, a key-based IP anonymization technique, in enhancing the security and utility of network logs, specifically Cisco Netflows. It emphasizes the importance of anonymizing logs for effective cyber threat detection while preserving subnet structures crucial for analysis. The authors present an innovative passphrase-based key generator, which allows for reversible encryption of IP addresses without compromising sensitive information. Challenges, performance considerations, and future research directions are also explored, highlighting the balance needed between data utility and security.

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Enhancing Network Log Anonymization with Crypto-PAn for Cisco Netflows

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  1. Network Log Anonymization: Application of Crypto-PAn to Cisco Netflows Adam Slagell, Jun Wang and William Yurcik, National Center for Supercomputing Applications (NCSA) University of Illinois at Urbana-Champaign

  2. Motivation for Sharing Logs • Share for • Security Research • Create better detection tools and test them • Security Operations • Network Measurements • Who says its important? • DHS with Information Sharing and Analysis Centers • National Strategy to Secure Cyberspace • Why Netflows?

  3. IP Anonymization Techniques • Black Marker Effect • Great information loss • Cannot correlate attacks against machine X • Truncation • Finer grained control of information loss • Used for Source Report at ISC • Origins of scans • Random Permutations • Injective Mapping, a type of pseudonymization • Allows correlation but destroys structure

  4. Prefix-Preserving Anonymization • Definition • Let P be a permutation of the set of IP addresses • P is a prefix-preserving anonymization function if and only if for all IP addresses x and y: • x and y match on exactly the same length prefix as P(x) and P(y) • Preserves subnet structures and relationships • Structure can of course be exploited by attackers

  5. Prefix Preserving Tools • Crypto-PAn • Key based solution • TCPdpriv • Table based solution for TCPdump files • Ip2anonip • A filter to anonymize IP addresses based off TCPdpriv • Ipsumdump • Summarizes TCP/IP dumps • Optionally performs prefix-preserving anonymization based off TCPdpriv

  6. What We Have Done • The problem: • Our visualization tools use netflows • We need students to work on these projects • Information is sensitive • Subnet structure is vital to tools. Thus Crypto-PAn is ideal. • No key generator in Crypto-Pan • Created a pass-phrase based key generator without extra libraries

  7. Key Generator • Input passphrase (unechoed), max 256 bytes • Wrap till buffer filled • CBC encrypt with fixed key • This combines data to create an intermediate key • Why can’t we just XOR blocks? • Cannot stop here, processes is reversible • Use the intermediate key to re-encrypt the original buffer • Take the last 32 bytes as the end key • Even without dropping 244 bytes, this is irreversible

  8. Performance • Work on binary logs • Avoids extra conversions • On laptop still less than 20 minutes for 2 Gigabytes of flows

  9. Conclusions & Future Work • Feasible solution for even large universities • Provides high utility, but lower security • Many attacks on anonymization schemes • Inference attacks, chosen plaintext, structure exploitation • Need new options to balance utility & security • Different levels of anonymization • Means considering more fields • Different types of logs

  10. Thank You • Email: slagell@ncsa.uiuc.edu • Links of Interest • http://www.ncassr.org/projects/sift/ • http://www.ncsa.uiuc.edu/ • http://slagellware.com/ • http://www.cc.gatech.edu/computing/Telecomm/cryptopan/

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