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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.

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Citations
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Dissertation

Combining Multiple Malware Detection; Approaches for Achieving Higher Accuracy

TL;DR: It is observed that a honeypot is not an effective approach for malware detection, but DNS data analysis and flow data analysis can be combined to achieve synergy, by providing more information about whether a workstation is infected by malware, leading to more informed decisions.
Proceedings ArticleDOI

Analysis of Fog Computing: An Integrated Internet of Things (IoT) Fog Cloud Infrastructure for Big Data Analytics and Cyber Security

TL;DR: In this article , the authors present a well-organized IoT-Fog-Cloud architecture for the purpose of efficiently deploying big data analytics and cyber security applications, and also details the relationships between the three tiers of IoT, fog, and cloud.

Optimalizace dohledového nástroje pro správu sítě VUT

Peter Drienko
TL;DR: This master's thesis focuses on optimizing the network tracking tool Zabbix by comparing existing optimizations of the database structure which divides large, parent tables into small partitions and finding the most suitable solution for the network needs.
Book ChapterDOI

Domain-Specific Programming Router Model

Zhongpei Liu
TL;DR: In this article , a new programmable data processing unit (dpDPU) based on Reconfigurable Match Tables (RMT) pipeline is designed and implemented to optimize protocol processing and break through heterogeneous accelerated programmable Data forwarding plane, software/hardware cooperative protocol control plane, and advanced programming method based on domain language.
Journal ArticleDOI

Traffic Engineering in a Shared Inter-DC WAN via Deep Reinforcement Learning

TL;DR: A TED method is proposed to jointly optimize the egress router selection and routing path selection by learning an intelligent agent with Deep Reinforcement Learning (DRL) to strike a balance between QoS and link load balancing in the shared inter-DC WAN.
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