A framework of designing a Packet Filter for Low Cost Network Monitoring

2006 ◽  
Author(s):  
Shishir Kumar ◽  
K.S. Vaisla ◽  
Durgesh Pant
Keyword(s):  
Low Cost ◽  
Network Monitoring ◽  
Packet Filter

Model-Based Low-Cost Intellectualized Network Monitoring and Controlling for Protected Cultivation

2014 ◽  
Vol 12 (3) ◽  
pp. 776-782
Author(s):  
Hongxin Cao ◽  
Y. W. Yang ◽  
Y. Liu ◽  
Z. Y. Zhang ◽  
Y. L. Chen ◽  
...  
Keyword(s):  
Low Cost ◽  
Network Monitoring ◽  
Model Based ◽  
Protected Cultivation

scholarly journals Packet filter optimization techniques for high-speed network monitoring

2007 ◽  
Vol 62 (3-4) ◽  
pp. 387-407
Author(s):  
Jan Coppens ◽  
Stijn De Smet ◽  
Steven Van Den Berghe ◽  
Filip De Turck ◽  
Piet Demeester
Keyword(s):  
High Speed ◽  
Network Monitoring ◽  
Optimization Techniques ◽  
Packet Filter ◽  
High Speed Network

scholarly journals Multivariate Statistical Network Monitoring–Sensor: An effective tool for real-time monitoring and anomaly detection in complex networks and systems

2020 ◽  
Vol 16 (5) ◽  
pp. 155014772092130
Author(s):  
Roberto Magán-Carrión ◽  
José Camacho ◽  
Gabriel Maciá-Fernández ◽  
Ángel Ruíz-Zafra
Keyword(s):  
Intrusion Detection ◽  
Real Time ◽  
Smart Grids ◽  
Detection System ◽  
Smart Cities ◽  
Low Cost ◽  
Health Care Systems ◽  
Network Monitoring ◽  
Network Systems ◽  
Multivariate Statistical

Technology evolves quickly. Low-cost and ready-to-connect devices are designed to provide new services and applications. Smart grids or smart health care systems are some examples of these applications. In this totally connected scenario, some security issues arise due to the large number of devices and communications. In this way, new solutions for monitoring and detecting security events are needed to address new challenges brought about by this scenario, among others, the real-time requirement allowing quick security event detection and, consequently, quick response to attacks. In this sense, Intrusion Detection Systems are widely used though their evaluation often relies on the use of predefined network datasets that limit their application in real environments. In this work, a real-time and ready-to-use tool for monitoring and detecting security events is introduced. The Multivariate Statistical Network Monitoring–Sensor is based on the Multivariate Statistical Network Monitoring methodology and provides an alternative way for evaluating Multivariate Statistical Network Monitoring–based Intrusion Detection System solutions. Experimental results based on the detection of well-known attacks in hierarchical network systems prove the suitability of this tool for complex scenarios, such as those found in smart cities or Internet of Things ecosystems.

scholarly journals Using Nagios on a Raspberry Pi to Monitor Anetwork with Emphasis on Security

2021 ◽  
Vol 19 ◽  
pp. 262-267
Author(s):  
Antonios , Andreatos ◽  
Nikolaos Chatzipantou
Keyword(s):  
Low Cost ◽  
Network Monitoring ◽  
Raspberry Pi ◽  
Monitoring Systems ◽  
Security Level ◽  
Minimal Cost ◽  
Complex Process ◽  
Monitoring Process ◽  
Modular Redundancy ◽  
Computer Board

The objective of this paper is to present an advanceduse of Nagios on Raspberry Pi to monitor a network. RaspberryPi is a tiny, low-cost yet powerful computer board with manyapplications. Network monitoring systems constantly monitor acomputer network for malfunctions and failures of servers andnotifies the network administrator in case of trouble. In ourcase, the free version of Nagios installed on a Raspberry Pi hasbeen used to monitor a network at minimal cost. Furthermore,two bash scripts automating the complex process of Nagiosinstallation on Raspberry Pi, as well as Linux host have beendeveloped. In order to elevate the security level of Networkmonitoring we have proposed a triple set of Raspberry Pi Nagiosservers, each one monitoring hosts and servers including theother two Nagios servers (triple modular redundancy). Finally,custom scripts providing useful information about monitoredhosts, such as their operating system, hardware and networking,as well as a special script examining and rating the security levelof Apache web servers, have been developed and incorporatedinto the network monitoring process.

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