The following pages link to Snort (Q26052):
Displaying 16 items.
- Using data-independence in the analysis of intrusion detection systems (Q557891) (← links)
- Two alternatives for handling preferences in qualitative choice logic (Q835189) (← links)
- A model of the behavior of network objects in distributed computer systems (Q927441) (← links)
- A faster algorithm for matching a set of patterns with variable length don't cares (Q991757) (← links)
- Principle components and importance ranking of distributed anomalies (Q1774586) (← links)
- On the infeasibility of modeling polymorphic shellcode. Re-thinking the role of learning in intrusion detection systems (Q1959622) (← links)
- A parameterized multilevel pattern matching architecture on FPGAs for network intrusion detection and prevention (Q2267141) (← links)
- Revisiting multiple pattern matching algorithms for multi-core architecture (Q2434550) (← links)
- Coevolutionary-based mechanisms for network anomaly detection (Q2466396) (← links)
- Privacy-preserving pattern matching on encrypted data (Q2692382) (← links)
- Analyzing Matching Time Behavior of Backtracking Regular Expression Matchers by Using Ambiguity of NFA (Q2830233) (← links)
- Compressing Regular Expressions’ DFA Table by Matrix Decomposition (Q3073647) (← links)
- Indices of Power in Optimal IDS Default Configuration: Theory and Examples (Q3098091) (← links)
- A scalable intrusion detection system for IPv6 (Q3443276) (← links)
- MULAN: Multi-Level Adaptive Network Filter (Q3556608) (← links)
- An Efficient Pre-filtering Mechanism for Parallel Intrusion Detection Based on Many-Core GPU (Q3557770) (← links)
