Amanote Research
Register
Sign In
Detecting Known and Novel Network Intrusions
doi 10.1007/0-387-33406-8_22
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
Yacine Bouzida
Frédéric Cuppens
Publisher
Kluwer Academic Publishers
Related search
Detecting Novel Network Intrusions Using Bayes Estimators
Using Artificial Anomalies to Detect Unknown and Known Network Intrusions
Knowledge and Information Systems
Information Systems
Human-Computer Interaction
Hardware
Architecture
Artificial Intelligence
Software
DoubleGuard: Detecting Intrusions in Multi-Tier Web Applications
IJARCCE
Beyond the Known: Detecting Novel Feasible Domains Over an Unbouded Design Space
Journal of Mechanical Design, Transactions Of the ASME
Computer Science Applications
Mechanics of Materials
Computer Graphics
Computer-Aided Design
Mechanical Engineering
On Lightweight Intrusion Detection: Modeling and Detecting Intrusions Dedicated to OLSR Protocol
International Journal of Distributed Sensor Networks
Computer Networks
Engineering
Communications
Novel Approach of Detecting Fault in Power Line Using Wireless Sensor Network
International Journal of Research in Engineering and Technology
Detecting Protein Conformational Changes in Interactions via Scaling Known Structures
Journal of Computational Biology
Genetics
Molecular Biology
Computational Theory
Simulation
Computational Mathematics
Mathematics
Modeling
Computer Intrusions and Attacks
Electronic Library
Computer Science Applications
Library
Information Sciences
Detecting the Mobile Robot Position Using the Profile of Known Environment
Elektronika ir Elektrotechnika
Electronic Engineering
Electrical