|
|
Detection and mitigation of cyber attacks at local area networks
Racka, Jan ; Lieskovan, Tomáš (referee) ; Gerlich, Tomáš (advisor)
The bachelor thesis is focused on the detection and mitigation of flood attacks in local area networks. The thesis can be divided into two parts. In the theoretical part, first flooding attacks are described. Then, the problem of attack detection is discussed in depth, including the implemented detection methods. Subsequently, the classification of detection tools by location is discussed and examples of detection tools are given. The last theoretical section is devoted to network mapping methods and topology detection tools. In the practical part, the design of the IDS and the test network is discussed. The network consists of three end devices namely: the IDS, the victim and the attacker. A Mikrotik router is used to ensure connectivity between all the devices. The IDS has been implemented in Python and is composed of individual modules that extend its functionality. The most important module is the detection module, which contains detection methods against SYN Flood, UDP Flood, ICMP Flood attacks and one universal comprehensive method against all flood attacks. The ARP Scan module allowed the IDS to map the network and use ARP queries to detect the presence of endpoint devices in the network. The learning module made it easier to set up rules for each detection method by monitoring network traffic over a period of time. It then determines appropriate rule values from the detected data. The SSH module provided IDS with the ability to proactively respond to attacks and disconnect the attacker from the rest of the network. ARP Scans also use the SSH module to discover information about guests. The IDS has been tested in both virtual and real environments. The results show that the developed detection methods work and the IDS can stop the attack in a reasonable time. ARP Scanning was also tested and was able to detect new guests on average in the first pass. The effect of IDS on communication was also monitored and found to be minimal.
|
|
|
Automatic delineation of ECG signals
Jurek, Jakub ; Janoušek, Oto (referee) ; Vítek, Martin (advisor)
This project deals with basic description of ECG signal and some of known methods of delineation ECG´s individual parts. Next this work deals with detailed description of the method of authors Laguna, Jané, Caminal and realization of the complete delineation algorithm based on this method. Next this work deals with testing this algorithm on the CSE database, evaluation results and comparing results with results of authors of the method.
|
|
|
Methods of Detection, Segmentation and Classification of Difficult to Define Bone Tumor Lesions in 3D CT Data
Chmelík, Jiří ; Flusser,, Jan (referee) ; Kozubek, Michal (referee) ; Jan, Jiří (advisor)
The aim of this work was the development of algorithms for detection segmentation and classification of difficult to define bone metastatic cancerous lesions from spinal CT image data. For this purpose, the patient database was created and annotated by medical experts. Successively, three methods were proposed and developed; the first of them is based on the reworking and combination of methods developed during the preceding project phase, the second method is a fast variant based on the fuzzy k-means cluster analysis, the third method uses modern machine learning algorithms, specifically deep learning of convolutional neural networks. Further, an approach that elaborates the results by a subsequent random forest based meta-analysis of detected lesion candidates was proposed. The achieved results were objectively evaluated and compared with results achieved by algorithms published by other authors. The evaluation was done by two objective methodologies, technical voxel-based and clinical object-based ones. The achieved results were subsequently evaluated and discussed.
|
|
|
Human body detection in a video scene
Šmirg, Ondřej ; Číka, Petr (referee) ; Kohoutek, Michal (advisor)
The project consists of two distinct levels i.e. separation level and diagnostic level. At the separation level, statistical models of gaussians and color are separately used to classify each pixel as belonging to backgroung or foreground. Adopted method is mixture of gaussians.A mixture of gaussians model is suitable here because the results of the picture tests will not depend on the lens opening, but rather on the colors in the backgroung. A mixture of gaussians model for return data seems reasonable. The achieved results the used method on the real sequences are presented in the thesis. Diagnostic level is identified human body on the scene. Adopted method is ASM(Active Shape Models) with PCA(Principal Component Analysis). ASM are statistical models of the shape of human bodies which iteratively deform to fit to an example of the object in a new image.
|
|
|
P wave detection in ECG signals
Bajgar, Jiří ; Kozumplík, Jiří (referee) ; Smital, Lukáš (advisor)
The aim of this diploma thesis is to introduce methods of detection of the QRS complex and the subsequent detection of P waves. The intention is to create a program by specified method in the software Matlab which will be able to implement this method. The thesis describes the basic and important methods of detection and subsequent algorithm to detect P waves. Solution of the algorithm is tested on real data. It also describes the automatic signal evaluation and the results of this automatic function.
|
|
|
System with Servos Controlled by Microcomputer
Veselý, Miroslav ; Kolář, Martin (referee) ; Zemčík, Pavel (advisor)
The goal of this bachelor thesis was to investigate possibilities of controlling RC servos by amicrocomputer. A part of this thesis was creation of a device for purpose of browsing distant surfaceby a laser. The created device is based on Arduino platform and it is possible to control this deviceremotely by a computer application.
|
|
|
Plagiarism detection of text documents
Lízal, Radek ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
This diploma thesis introduces the definition of plagiarism, distinguishes the types of plagiaries which often take place in praxis and the ways of determining the suspected texts. The means of detection are essential; therefore a whole chapter is dedicated to those. For the detection purposes, it is vital to pre-process the data to reduce the demand factor of the program. There is a preview of some programs which are already being used for the detection of plagiarism. The following chapter introduces some selected indications which have been implemented in the Matlab environment to create a detector of plagiaries in text documents. The created program is described in chapter eight. The applied indications and the detector response are described in a chapter called Indications testing. The testing proved the quality of these indications. The results together with pros and cons of the particular methods are discussed in the conclusion.
|
|
|
Detection of Peer-to-Peer Communication
Letý, Pavel ; Kováčik, Michal (referee) ; Bartoš, Václav (advisor)
This thesis is focused on issues in detection of P2P network from NetFlow. In the theoretical part of this work are introduced actual techniques in detection of this communication in network. There are presented their advantages and disadvantages too. The biggest attention is focused on the classification scheme of Mr. Bashir which deals with a detection of a protocol BitTorrent and a Skype application from Netflow. Following this scheme is designed a detection module for a modular system of a traffic analysis Nemea, developed by Cesnet organization. In the practical part of this work is introduced the implementation of this module. There are also presented results of experiments with real data.
|
|
|
Detection of Dynamic Network Applications
Burián, Pavel ; Drahošová, Michaela (referee) ; Kaštil, Jan (advisor)
This thesis deals with detection of dynamic network applications. It describes some of the existing protocols and methods of their identification from IP flow and packet contents. It constitues a design of a detection system based on the automatic creation of regular expressions and describes its implementation. It presents the created regular expressions for BitTorrent and eDonkey protocol. It compares their quality with the solution of L7-filter.
|
|
|
User Interface Based on Kinect
Kapinus, Michal ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
The aim of the thesis was to create and evaluate a concept for the design of touchless user interfaces based on Kinect. It describes various devices and methods which are used for creating of the depth map. Furthermore the thesis includes the design of experiments that were used for testing of the speed and the accuracy of Kinect-based interactive kiosks. Results of these experiments are evaluated as well.
|
guest ::
