Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  Applied Sciences  /  Vol: 10 Par: 9 (2020)  /  Artículo
ARTÍCULO
TITULO

An Innovative Approach to Anomaly Detection in Communication Networks Using Multifractal Analysis

Pawel Dymora and Miroslaw Mazurek    

Resumen

Fractal and multifractal analysis can help to discover the structure of the communication system, and in particular the pattern and characteristics of traffic, in order to understand the threats better and detect anomalies in network operation. The massive increase in the amount of data transmitted by different devices makes these systems the target of various types of attacks by cybercriminals. This article presents the use of fractal analysis in detecting threats and anomalies. The issues related to the construction and functioning of the Security Operations Centre (SOC) are presented. To examine the correctness of SOC, several attacks on virtual systems located in the network were carried out, such as Denial of Service (DoS) attack, brute force, malware infections, exploits. Based on data collected from monitoring and devices, the response to the event was analyzed, and multifractal spectra of network traffic before and during the incident were created. The collected information allows us to verify the theses and confirm the effectiveness of multifractal methods in detecting anomalies in the operation of any Information and Communication Technology (ICT) network. Such solutions will contribute to the development of advanced intrusion detection systems (IDS).

 Artículos similares

       
 
Xin Tian and Yuan Meng    
The judicious configuration of predicates is a crucial but often overlooked aspect in the field of knowledge graphs. While previous research has primarily focused on the precision of triples in assessing knowledge graph quality, the rationality of predic... ver más
Revista: Algorithms

 
Sideris Kiratsoudis and Vassilis Tsiantos    
Personnel selection stands as a pivotal component within the domain of human resource management, intrinsically tethered to the quality of the workforce at large. In this research endeavor, we introduce the Entropy Synergy Analysis of Multi-Attribute Dec... ver más
Revista: Information

 
Ana-Maria ?tefan, Nicu-Razvan Rusu, Elena Ovreiu and Mihai Ciuc    
This article introduces a groundbreaking medical information system developed in Salesforce, featuring an automated classification module for ocular and skin pathologies using Google Teachable Machine. Integrating cutting-edge technology with Salesforce?... ver más

 
Juan Francisco Mora-Sánchez, Josep Ribes, Josué González-Camejo, Aurora Seco and María Victoria Ruano    
This research lays a foundation for optimised membrane photobioreactor performance and introduces novel control parameters crucial for advancing microalgae cultivation techniques and promoting environmental sustainability. Particularly, this study presen... ver más
Revista: Water

 
Ana Pérez-Escoda, Andrés Barrios-Rubio, Luis Miguel Pedrero-Esteban and Carolina Ávalos    
Today?s public sphere is increasingly shaped by a dynamic, global, cross-cutting digital landscape, mostly ruled by social media and algorithms. Individuals are the raw material, the product, in this digital scenario, insofar as they generate and create ... ver más
Revista: Information