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» An efficient data structure for network anomaly detection
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JAIR
2010
181views more  JAIR 2010»
13 years 2 months ago
Intrusion Detection using Continuous Time Bayesian Networks
Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems (NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor sys...
Jing Xu, Christian R. Shelton
ICANN
2007
Springer
13 years 11 months ago
Topology Aware Internet Traffic Forecasting Using Neural Networks
Forecasting Internet traffic is receiving an increasing attention from the computer networks domain. Indeed, by improving this task efficient traffic engineering and anomaly detect...
Paulo Cortez, Miguel Rio, Pedro Sousa, Miguel Roch...
NDSS
1999
IEEE
14 years 5 days ago
PGRIP: PNNI Global Routing Infrastructure Protection
We describe a system for achieving PNNI (Private Network-Network Interface) Global Routing Infrastructure Protection (PGRIP). We give details of PGRIP's system-level design a...
Sabrina De Capitani di Vimercati, Patrick Lincoln,...
CSREASAM
2006
13 years 9 months ago
Agent-based Distributed Intrusion Detection Methodology for MANETs
Intrusion detection, as a complementary mechanism to intrusion prevention, is necessary to secure wireless Mobile Ad hoc Networks (MANETs). In this paper we propose a practical age...
Hongmei Deng, Roger Xu, Frank Zhang, Chiman Kwan, ...
KDD
2008
ACM
165views Data Mining» more  KDD 2008»
14 years 8 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...