Data Streaming Algorithms for Rapid Cyber Attack Detection
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Summary
A novel data structure to detect click frauds in the online advertising network, and track the command-and-control communications in the botnets is proposed, and a fast sketch for the aggregate queries in high-speed network traffic is introduced, which can preserve some critical information for root cause analysis.
- Type
- dissertation
- Published
- 2013-01-01
- Cited by
- 2
- References
- 96
- Access
- Open access
- OpenAlex
- https://openalex.org/W73072057
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:59701237
Keywords
Botnet, Computer science, Denial-of-service attack, Computer security, Phishing
References
- Compressed Sensing
- Combinatorial Group Testing and Its Applications
- cSamp: A System for Network-Wide Flow Monitoring
- Database Systems: The Complete Book
- Data Streams: Models and Algorithms (Advances in Database Systems)
- The Random Projection Method
- BotGrep: Finding P2P Bots with Structured Graph Analysis
- New Streaming Algorithms for Fast Detection of Superspreaders
- Fast and Compact Hash Tables for Integer Keys
- Algorithmic Results in List Decoding
- Efficient URL caching for world wide web crawling
- Reversible Sketches: Enabling Monitoring and Analysis Over High-Speed Data Streams
- The Power of One Move: Hashing Schemes for Hardware
- Declaring independence via the sketching of sketches
- Network Applications of Bloom Filters: A Survey
- Data streams: algorithms and applications
- Control Procedures for Residuals Associated With Principal Component Analysis
- A fast sketch for aggregate queries over high-speed network traffic
- Models and issues in data stream systems
- Maintaining stream statistics over sliding windows: (extended abstract)
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