Practical privacy: the SuLQ framework
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Smooth sensitivity and sampling in private data analysis
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
The Zombie roundup: understanding, detecting, and disrupting botnets
SRUTI'05 Proceedings of the Steps to Reducing Unwanted Traffic on the Internet on Steps to Reducing Unwanted Traffic on the Internet Workshop
An algorithm for anomaly-based botnet detection
SRUTI'06 Proceedings of the 2nd conference on Steps to Reducing Unwanted Traffic on the Internet - Volume 2
Inferring internet denial-of-service activity
SSYM'01 Proceedings of the 10th conference on USENIX Security Symposium - Volume 10
Wide-scale botnet detection and characterization
HotBots'07 Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets
Rishi: identify bot contaminated hosts by IRC nickname evaluation
HotBots'07 Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets
Mechanism Design via Differential Privacy
FOCS '07 Proceedings of the 48th Annual IEEE Symposium on Foundations of Computer Science
BotHunter: detecting malware infection through IDS-driven dialog correlation
SS'07 Proceedings of 16th USENIX Security Symposium on USENIX Security Symposium
A learning theory approach to non-interactive database privacy
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Robust De-anonymization of Large Sparse Datasets
SP '08 Proceedings of the 2008 IEEE Symposium on Security and Privacy
Spamalytics: an empirical analysis of spam marketing conversion
Proceedings of the 15th ACM conference on Computer and communications security
FOCS '08 Proceedings of the 2008 49th Annual IEEE Symposium on Foundations of Computer Science
SS'08 Proceedings of the 17th conference on Security symposium
Differential privacy and robust statistics
Proceedings of the forty-first annual ACM symposium on Theory of computing
Privacy integrated queries: an extensible platform for privacy-preserving data analysis
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Your botnet is my botnet: analysis of a botnet takeover
Proceedings of the 16th ACM conference on Computer and communications security
Continuity analysis of programs
Proceedings of the 37th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Differential privacy: a survey of results
TAMC'08 Proceedings of the 5th international conference on Theory and applications of models of computation
ICALP'06 Proceedings of the 33rd international conference on Automata, Languages and Programming - Volume Part II
Calibrating noise to sensitivity in private data analysis
TCC'06 Proceedings of the Third conference on Theory of Cryptography
Differentially-private network trace analysis
Proceedings of the ACM SIGCOMM 2010 conference
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Challenges in experimenting with botnet detection systems
CSET'11 Proceedings of the 4th conference on Cyber security experimentation and test
Formal Verification of Differential Privacy for Interactive Systems (Extended Abstract)
Electronic Notes in Theoretical Computer Science (ENTCS)
The tradeoffs of societal computing
Proceedings of the 10th SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software
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Fighting global security threats with only a local view is inherently difficult. Internet network operators need to fight global phenomena such as botnets, but they are hampered by the fact that operators can observe only the traffic in their local domains. We propose a collaborative approach to this problem, in which operators share aggregate information about the traffic in their respective domains through an automated query mechanism. We argue that existing work on differential privacy and type systems can be leveraged to build a programmable query mechanism that can express a wide range of queries while limiting what can be learned about individual customers. We report on our progress towards building such a mechanism, and we discuss opportunities and challenges of the collaborative security approach.