Detekce anomálií v IoT sítích

Language

Slovak

Abstract

The goal of the thesis was an analysis of IoT communication protocols, their vulnerabilities and the creation of a suitable anomaly detector. It must be possible to run the detector on routers with the OpenWRT system. To create the final solution, it was necessary to analyze the communication protocols BLE and Z-Wave with a focus on their security and vulnerabilities. Furthermore, it was necessary to analyze the possibilities of anomaly detection, design and implement the detection system. The result is a modular detection system based on the NEMEA framework. The detection system is able to detect re-pairing of BLE devices representing a potential pairing attack. The system allows interception of Z-Wave communication using SDR, detection of Z-Wave network scanning and several attacks on network routing. The system extends the existing detector over IoT statistical data with more detailed statistics with a broader view of the network. The original solution had only Z-Wave statistics with a limited view of the network obtained from the Z-Wave controller. The modular solution of the system provides deployment flexibility and easy system scalability. The functionality of the solution was verified by experiments and a set of automated tests. The system was also successfully tested on a router with OpenWRT and in the real world enviroment. The results of the thesis were used within the SIoT project.

Keywords

Internet of Things, IoT, Smart Home, Gateway, BeeeOn, Security, SIoT, Anomaly Detection, NEMEA, OpenWRT, Bluetooth Low Energy, BLE, Z-Wave, SDR

Department

Department of Computer Systems FIT BUT

Degree Programme

Information Technology, Field of Study Information Technology Security

Files

Status

defended, grade B

Date

15 July 2020

Reviewer

Hujňák Ondřej, Ing.

Committee

Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT), předseda
Lengál Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen

Citation

HALAJ, Jozef. Detekce anomálií v IoT sítích. Brno, 2020. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-15. Supervised by Kořenek Jan. Available from: https://www-dev.fit.vutbr.cz/study/thesis/23118/

BibTeX

@mastersthesis{FITMT23118,
    author = "Jozef Halaj",
    type = "Master's thesis",
    title = "Detekce anom\'{a}li\'{i} v IoT s\'{i}t\'{i}ch",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/23118/"
}