Analysis of the IP Telephony Security Issues Using Automatic Neural Network Classifier
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F16%3A10130739" target="_blank" >RIV/63839172:_____/16:10130739 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1109/SOFTCOM.2016.7772119" target="_blank" >http://dx.doi.org/10.1109/SOFTCOM.2016.7772119</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SOFTCOM.2016.7772119" target="_blank" >10.1109/SOFTCOM.2016.7772119</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Analysis of the IP Telephony Security Issues Using Automatic Neural Network Classifier
Popis výsledku v původním jazyce
The complexity and robustness of the currently used IP telephony infrastructures requires systematic monitoring of the network against security threats, where captured incidents are often used as a source of information for further research and analytical optimization of the monitored topologies. This article presents an analysis of IP telephony security issues which were clasiffied using neural networks and it also describes a novel design of the clasiffication itself. To capture individual incidents a distributed honeypot network with the autonomous probes has been developed too and the interconnection of the proposed mechanisms leads into a comprehensive system of frequent attacks detection. These security threats are currently used by attackers to penetrate an IP telephony network elements, and their effective detection can reduce a growing number of abused users. First two chapters describe used technologies and the current state of the art. The following part defines the architecture of the proposed system and the fourth passage is then formed by the analysis of the classified data results obtained. These are then evaluated in the final discussion and conclusion.
Název v anglickém jazyce
Analysis of the IP Telephony Security Issues Using Automatic Neural Network Classifier
Popis výsledku anglicky
The complexity and robustness of the currently used IP telephony infrastructures requires systematic monitoring of the network against security threats, where captured incidents are often used as a source of information for further research and analytical optimization of the monitored topologies. This article presents an analysis of IP telephony security issues which were clasiffied using neural networks and it also describes a novel design of the clasiffication itself. To capture individual incidents a distributed honeypot network with the autonomous probes has been developed too and the interconnection of the proposed mechanisms leads into a comprehensive system of frequent attacks detection. These security threats are currently used by attackers to penetrate an IP telephony network elements, and their effective detection can reduce a growing number of abused users. First two chapters describe used technologies and the current state of the art. The following part defines the architecture of the proposed system and the fourth passage is then formed by the analysis of the classified data results obtained. These are then evaluated in the final discussion and conclusion.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
—
Návaznosti výsledku
Projekt
<a href="/cs/project/LM2010005" target="_blank" >LM2010005: Velká infrastruktura CESNET</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2016 24th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
ISBN
978-1-5090-2578-7
ISSN
1847-358X
e-ISSN
—
Počet stran výsledku
5
Strana od-do
—
Název nakladatele
IEEE
Místo vydání
Neuveden
Místo konání akce
Split, Croatia
Datum konání akce
22. 9. 2016
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000391433200046