Open Access
Cisco Systems NetFlow Services Export Version 9
Benoit Claise
- Vol. 3954, pp 1-33
TLDR
This document specifies the data export format for version 9 of Cisco Systems' NetFlow services, for use by implementations on the network elements and/or matching collector programs.Abstract:
This document specifies the data export format for version 9 of Cisco
Systems' NetFlow services, for use by implementations on the
network elements and/or matching collector programs. The version 9
export format uses templates to provide access to observations of IP
packet flows in a flexible and extensible manner. A template defines a
collection of fields, with corresponding descriptions of structure and
semantics. This memo provides information for the Internet community.read more
Citations
More filters
Dissertation
Streaming Algorithms for High Throughput Massive Datasets
TL;DR: This thesis focuses on solving problems in the streaming model that have a unified goal of being relevant to practical problems outside of the theory community, and provides solutions in the form of both theoretical algorithm and practical systems to demonstrate that using practice to drive theory, and vice versa, can generate powerful new approaches for difficult problems inThe streaming model.
Proceedings ArticleDOI
A Two-stage P2P Botnet Detection Method Based on Statistical Features
Bin Zhou,Jie He,Mingtao Tan +2 more
TL;DR: This paper proposes a two-stage P2P botnet detection method which only relies on several traffic statistical features and is able to detect hidden P 2P bots with a detection accuracy of 99.7% and a false positive rate of only 0.3% within 5 minutes.
Proceedings ArticleDOI
Conversion of Decision Tree Into Deterministic Finite Automaton for High Accuracy Online SYN Flood Detection
TL;DR: The paper proposes how to convert a decision tree into a deterministic finite automaton that can detect events before the full complement of data is collected and has the same high accuracy ratio as the decision tree, but can take decisions over three times faster.
Book ChapterDOI
Detecting network anomalies in backbone networks
TL;DR: Principal Component Analysis is a dimensionality-reduction technique that allows the reduction of the dataset dimensionality (number of variables), while retaining most of the original variability in the data.
Journal ArticleDOI
FamilyGuard: A Security Architecture for Anomaly Detection in Home Networks
TL;DR: The results show that the proposed solution can offer smart home users additional and personalized security features using low-cost devices and add a new layer of security and simplify management of the home environment by detecting network traffic anomalies.