Person:
Berrueta Irigoyen, Eduardo

Profile Picture

Email Address

person.page.identifierURI

https://academica-e.unavarra.es/handle/2454/48721

Birth Date

Research Projects

Organizational Units

Job Title

Last Name

Berrueta Irigoyen

First Name

Eduardo

person.page.departamento

Ingeniería Eléctrica, Electrónica y de Comunicación

person.page.instituteName

ORCID

0000-0002-0076-4479

person.page.upna

811478

Name

Filters

2016 - 20196
Reset filters

Settings

End date: 2019 × Has files: true ×

Search Results

Now showing 1 - 6 of 6
  • Thumbnail Image
    PublicationOpen Access
    A survey on detection techniques for cryptographic ransomware
    (IEEE, 2019) Berrueta Irigoyen, Eduardo; Morató Osés, Daniel; Magaña Lizarrondo, Eduardo; Izal Azcárate, Mikel; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Institute of Smart Cities - ISC; Ingeniería Eléctrica, Electrónica y de Comunicación
    Crypto-ransomware is a type of malware that encrypts user files, deletes the original data, and asks for a ransom to recover the hijacked documents. It is a cyber threat that targets both companies and residential users, and has spread in recent years because of its lucrative results. Several articles have presented classifications of ransomware families and their typical behaviour. These insights have stimulated the creation of detection techniques for antivirus and firewall software. However, because the ransomware scene evolves quickly and aggressively, these studies quickly become outdated. In this study, we surveyed the detection techniques that the research community has developed in recent years. We compared the different approaches and classified the algorithms based on the input data they obtain from ransomware actions, and the decision procedures they use to reach a classification decision between benign or malign applications. This is a detailed survey that focuses on detection algorithms, compared to most previous studies that offer a survey of ransomware families or isolated proposals of detection algorithms. We also compared the results of these proposals.
  • Thumbnail Image
    PublicationOpen Access
    Ransomware early detection by the analysis of file sharing traffic
    (Elsevier, 2018) Morató Osés, Daniel; Berrueta Irigoyen, Eduardo; Magaña Lizarrondo, Eduardo; Izal Azcárate, Mikel; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Institute of Smart Cities - ISC; Ingeniería Eléctrica, Electrónica y de Comunicación
    Crypto ransomware is a type of malware that locks access to user files by encrypting them and demands a ransom in order to obtain the decryption key. This type of malware has become a serious threat for most enterprises. In those cases where the infected computer has access to documents in network shared volumes, a single host can lock access to documents across several departments in the company. We propose an algorithm that can detect ransomware action and prevent further activity over shared documents. The algorithm is based on the analysis of passively monitored traffic by a network probe. 19 different ransomware families were used for testing the algorithm in action. The results show that it can detect ransomware activity in less than 20 s, before more than 10 files are lost. Recovery of even those files was also possible because their content was stored in the traffic monitored by the network probe. Several days of traffic from real corporate networks were used to validate a low rate of false alarms. This paper offers also analytical models for the probability of early detection and the probability of false alarms for an arbitrarily large population of users.
  • Thumbnail Image
    PublicationOpen Access
    High-speed analysis of SMB2 file sharing traffic without TCP stream reconstruction
    (IEEE, 2019) Berrueta Irigoyen, Eduardo; Morató Osés, Daniel; Magaña Lizarrondo, Eduardo; Izal Azcárate, Mikel; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Institute of Smart Cities - ISC; Ingeniería Eléctrica, Electrónica y de Comunicación
    This paper presents a file sharing traffic analysis methodology for Server Message Block (SMB), a common protocol in the corporate environment. The design is focused on improving the traffic analysis rate that can be obtained per CPU core in the analysis machine. SMB is most commonly transported over Transmission Control Protocol (TCP) and therefore its analysis requires TCP stream reconstruction. We evaluate a traffic analysis design which does not require stream reconstruction. We compare the results obtained to a reference full reconstruction analysis, both in accuracy of the measurements and maximum rate per CPU core. We achieve an increment of 30% in the traffic processing rate, at the expense of a small loss in accuracy computing the probability distribution function for the protocol response times.
  • Thumbnail Image
    PublicationOpen Access
    Testing tool of SDN controllers’ performance
    (2016) Berrueta Irigoyen, Eduardo; Serrano Arriezu, Luis Javier; Bianco, Andrea; Giaccone, Paolo; Escuela Técnica Superior de Ingenieros Industriales y de Telecomunicación; Telekomunikazio eta Industria Ingeniarien Goi Mailako Eskola Teknikoa; Politecnico di Torino (Italia)
    The SDN controllers with the network applications running on the top of them, can be seen as ”network brains”. Those applications apply the control logic and they will install some commands in the data plane. We can see that the performance of those applications is really important for a SDN controller and therefore, for the network it manages. Because of this importance, the purpose of this thesis is to adapt OFCProbe (one existing evaluation tool) in order to assess the performance of some processes on the applications running on the top of the SDN controller. Our new tool, denoted as CPBeT, is aimed at changing the network topology in real-time, in order to load the algorithm which calculates the shortest path on the controller. CPBeT will generate a specific amount of OpenFlow control traffic through the network and it will force the controller to process large amount of packets. CPBeT will build a virtual network with virtual switches and hosts, and we will have the control over the topology, number of hosts, generation of packets, etc. The experimental part of this work will evaluate the behaviour of L2 network application that run on the top of a Floodlight controller with a time varying topology which is the worst case for the shortest path algorithm. We will analyze the CPU and RAM usage on the controller changing some parameters of the experiments, like hosts, topology or rate of change of the topology, and we will demonstrate the effect of the computation of the shortest path algorithm on the controllers and how many devices the controller can manage before its saturation. Once the controller is saturated, we will analyze its behaviour and the reasons that cause that saturation.
  • Thumbnail Image
    PublicationOpen Access
    Ransomware encrypted your files but you restored them from network traffic
    (IEEE, 2019) Berrueta Irigoyen, Eduardo; Morató Osés, Daniel; Magaña Lizarrondo, Eduardo; Izal Azcárate, Mikel; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Institute of Smart Cities - ISC; Ingeniería Eléctrica, Electrónica y de Comunicación
    In a scenario where user files are stored in a network shared volume, a single computer infected by ransomware could encrypt the whole set of shared files, with a large impact on user productivity. On the other hand, medium and large companies maintain hardware or software probes that monitor the traffic in critical network links, in order to evaluate service performance, detect security breaches, account for network or service usage, etc. In this paper we suggest using the monitoring capabilities in one of these tools in order to keep a trace of the traffic between the users and the file server. Once the ransomware is detected, the lost files can be recovered from the traffic trace. This includes any user modifications posterior to the last snapshot of periodic backups. The paper explains the problems faced by the monitoring tool, which is neither the client nor the server of the file sharing operations. It also describes the data structures in order to process the actions of users that could be simultaneously working on the same file. A proof of concept software implementation was capable of successfully recovering the files encrypted by 18 different ransomware families.
  • Thumbnail Image
    PublicationOpen Access
    Algoritmo de detección de ransomwares mediante tráfico SMB en redes con directorios compartidos (REDFISH)
    (2018) Berrueta Irigoyen, Eduardo; Morató Osés, Daniel; Escuela Técnica Superior de Ingenieros Industriales y de Telecomunicación; Telekomunikazio eta Industria Ingeniarien Goi Mailako Eskola Teknikoa
    Este trabajo presenta una solución para detectar una infección por ransomware en un equipo de una red local con directorios compartidos por SMB en uno o varios servidores. Se basa en el análisis de tráfico de las versiones 1 y 2 de este protocolo, en la cantidad de bytes leídos y escritos y en las eliminaciones que haga el usuario en ficheros del servidor. Deben establecerse tres parámetros que caracterizarán al algoritmo (N, T y Vumbral), y que determinarán la cantidad de ficheros que encriptará el ransomware antes de su detección. Aunque esos N ficheros van a ser encriptados en todos los casos en que se detecte el ransomware, se ha desarrollado una herramienta de recuperación para conseguir recuperar estos ficheros, de forma que podemos considerar la herramienta como sin pérdidas. Los resultados son del 100 % de detección de ransomware con una probabilidad de falso positivo menor del 1 % en la mayoría de los días testeados. Las pruebas se han realizado con un total de 53 muestras distintas de ransomware de 18 familias diferentes, corriendo en un entorno virtualizado. Los falsos positivos se han evaluado con muestras de tráfico de usuario de 6 días laborables en la red local de la UPNA y 1 día completo en otra red empresarial.