A privacy-preserving interdomain audit framework
Proceedings of the 5th ACM workshop on Privacy in electronic society
The risk-utility tradeoff for IP address truncation
Proceedings of the 1st ACM workshop on Network data anonymization
Reference models for network data anonymization
Proceedings of the 1st ACM workshop on Network data anonymization
Evaluating the utility of anonymized network traces for intrusion detection
Proceedings of the 4th international conference on Security and privacy in communication netowrks
Palantir: a framework for collaborative incident response and investigation
Proceedings of the 8th Symposium on Identity and Trust on the Internet
A taxonomy and adversarial model for attacks against network log anonymization
Proceedings of the 2009 ACM symposium on Applied Computing
Trustworthy Log Reconciliation for Distributed Virtual Organisations
Trust '09 Proceedings of the 2nd International Conference on Trusted Computing
The role of network trace anonymization under attack
ACM SIGCOMM Computer Communication Review
Cooperation enablement for centralistic early warning systems
Proceedings of the 2010 ACM Symposium on Applied Computing
Computer Networks: The International Journal of Computer and Telecommunications Networking
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FLAIM (Framework for Log Anonymization and Information Management) addresses two important needs not well addressed by current log anonymizers. First, it is extremely modular and not tied to the specific log being anonymized. Second, it supports multi-level anonymization, allowing system administrators to make fine-grained trade-offs between information loss and privacy/security concerns. In this paper, we examine anonymization solutions to date and note the above limitations in each. We further describe how FLAIM addresses these problems, and we describe FLAIM's architecture and features in detail.