Anomalies detection in computer networks with the use of SDN

• Autorzy: Bolanowski M. , Twaróg B. , Mlicki R.
• Języki publikacji: EN

Abstrakty

EN

: In the paper, the authors present a method of anomalies detection and identification in network traffic using statistical signatures. There is also shown a new system architecture based on the Software-Defined Networking (SDN) which allows for application of statistical anomaly detection in computer networks. With the proposed hardware-software model, it becomes possible to implement custom algorithms for the threats detection with the use of recognized and secure communications standards. The proposed architecture has been built based on an open-source solutions and can be used directly in production environments.

Słowa kluczowe

EN

anomaly detection; statistical signature; computer network; software defined network

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2015
• Tom: Vol. 61, No. 9
• Strony: 443--445
• Opis fizyczny: Bibliogr. 9 poz., rys., schem., tab., wykr.

Twórcy

autor

Bolanowski M.

• Rzeszow University of Technology, Department of Distributed Systems, 12 Powstańców Warszawy Ave., 35-959 Rzeszow

autor

Twaróg B.

• University of Rzeszow, Faculty of Mathematics and Natural Sciences, Department of Computer Engineering, 1 Pigonia St., 35-959 Rzeszow

autor

Mlicki R.

• Rzeszow University of Technology

Bibliografia

• [1] Grabowski F., Bolanowski M., Paszkiewicz A.: Self organization and self adaptation of computer networks in nonextensive approach, vol.59, z. 10, pp. 1049-1053, PAK 2013.
• [2] Mehdi S. A., Khalid J., Khayam S. A.: Revisiting Traffic Anomaly Detection Using Software Defined Networking. RAID 2011, LNCS 6961, pp. 161–180, Springer-Verlag Berlin Heidelberg 2011.
• [3] Isolani P., Wickboldt J., Both C., Rochol J., Granville L.: Interactive monitoring, visualization, and configuration of OpenFlow-based SDN. Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on, pp. 207–215, IEEE 2015.
• [4] Bolanowski M., Paszkiewicz A.: Nowy model detekcji zagrożeń w sieci komputerowej. T.89, s. 308-311, z. 11, Wydawnictwo Sigma-Not Sp. z o.o., Przegląd Elektrotechniczny 2013.
• [5] What is ONF https://www.opennetworking.org/images/stories/ downloads/about/onf-what-why.pdf,
• [6] http://www.opendaylight.org/software
• [7] http://www.projectfloodlight.org/floodlight/,
• [8] ONOS Architectural Progress, http://onos.wpengine.com/wp-content/ uploads/2014/11/ONOS-architecture.pdf
• [9] Cabaj K., Wytrębowicz J., Kukliński S., Radziszewski P., Truong Dinh K.: SDN Architecture Impact on Network Security. Position papers of the 2014 Federated Conference on Computer Science and Information Systems pp. 143–148, ACSIS, Vol. 3, PTI 2014.