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Similarity Search in Network Security Alerts
Štoffa, Imrich ; Kučera, Jan (referee) ; Žádník, Martin (advisor)
Network monitoring systems generate a high number of alerts reporting on anomalies and suspicious activity of IP addresses. From a huge number of alerts, only a small fraction is high priority and relevant from human evaluation. The rest is likely to be neglected. Assume that by analyzing large sums of these low priority alerts we can discover valuable information, namely, coordinated IP addresses and type of alerts likely to be correlated. This knowledge improves situational awareness in the field of network monitoring and reflects the requirement of security analysts. They need to have at their disposal proper tools for retrieving contextual information about events on the network, to make informed decisions. To validate the assumption new method is introduced to discover groups of coordinated IP addresses that exhibit temporal correlation in the arrival pattern of their events. The method is evaluated on real-world data from a sharing platform that accumulates 2.2 million alerts per day. The results show, that method indeed detected truly correlated groups of IP addresses.
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The Use of Statistical Methods for Data Processing
Čupr, Jiří ; Klučková, Martina (referee) ; Novotná, Veronika (advisor)
This master's thesis is focused on problem of orders of ingredients in McDonald's. It's an analysis of usage changes depending on outside temperature. Thesis includes theoretical background for correct analysis of the problem and possibilities to figuring it out. There is also an algorithmus for more efficient solution of problem with needs or excess of ingredients. There is also a program written in VBA language, that makes more simple usage of this algorithm on restaurants.
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Acoustical detection of gunshots in the open
Hrabina, Martin ; Tučková, Jana (referee) ; Sigmund, Milan (advisor)
This work is concerned with gunshot detection and recognition. Contains overview of published works and methods used in this field. Furthermore, it lists several commercial gunshot detectors. Binary gunshot detection and recognition algorithm is proposed which discriminates between gunshot and non-gunshot sounds occuring in nature. Algorithm is tested in Matlab. Proposed algorithm is implemented in TMS320C6713 digital signal processor, achieved results are compared.
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Assessment of the Economic Situation of the Parent Company Using Statistical Methods
Zborovská, Marie ; Maňáková, Marie (referee) ; Doubravský, Karel (advisor)
The master‘s thesis examines the issue of the interconnection of market potential with financial indicators and other variables. Data from the financial statements of ABC, s. r. o. operating on the Slovak IT market are used. The dependence of market potential and other market variables was evaluated using statistical methods. Subsequently, the analysis of selected financial indicators of the company ABC, s. r. o. is statistically evaluated and the dependence with market potential is verified. Thanks to the results, the company's proposals are determined, taking into account the current situation in the world.
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Advanced analysis of spontaneous spoken dialogues
Musil, David ; Burget, Radim (referee) ; Atassi, Hicham (advisor)
First part of this thesis contains information about call centers. This chapter focuses at their origin and history and basic division of software call centers use. Second chapter contains ways of processing speech and methods for call quality evaluation. Next chapter provides a description of basic dialogue features such as reaction, hesitation and interruption. Following chapters contain desing and description of graphic environment designed in Matlab programming language for previously mentioned basic dialogue features from data provided by thesis supervisor and their use for conversation analysis. Second part of thesis describes the process of creation a call assessment. It includes gathering necessary data for this part of thesis, their subsequent modification, usage and discussion of results and foundings.
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Biometric fingerprint identification
Dašek, Filip ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
In biometrics we use distinctive physical features for identification and verification of identity. The most famous technique is identification by fingerprints. This technique use unique structure created by papillary lines for unambiguous identification. Thesis contains methods which were created throughout the years for analysis and adjustments of fingerprint. The algorithm is based on compairng two pairs of minitua and calculating transform matrix for correct alignment
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Clustering of ECG cycles
Němečková, Karolína ; Kozumplík, Jiří (referee) ; Ronzhina, Marina (advisor)
This bachelor thesis deals with application of cluster analysis to different ECG records in order to identify particular cardiac pathologies. The work is mainly focused on the detection of premature atrial and premature ventricular beats. Presented approach is based on the signal correlation and further beat type identification and beats clustering via specific ECG features. By evaluation the method on test data, we obtained TPR 73.40 %, FPR 91.00 %, PPV 29.00 %, ACC 90.00 %, F1 41.40 % for PAC detection and TPR 76.50 %, FPR 94.20 %, PPV 45.90 %, ACC 93.10 %, F1 57.40 % for PVC detection. Pure F1 and PPV is due to high number of false positive detections mainly in noisy ECG or ECG with manifested atrial fibrillation.
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Data acquisition and processing in LabVIEW
Kroliczek, Filip ; Havránek, Zdeněk (referee) ; Šedivá, Soňa (advisor)
The thesis deals with data collecting and treating issues utilizing the help of the LabVIEW software. An overview is presented on the first pages. Following chapters are dedicated to theoretical analysis of convolution, correlation, fast Fourier transformation and harmonic distortion of signal. Theoretical analysis of the function with of signal treatment precedes an introduction to LabVIEW – a programme for measurement and treatment of signal. The subsequent chapter describes a LabVIEW created measuring function, program settings and description of a chosen part of the programme. The end comprises the evaluation of the elaborated conclusions by means of the measuring card.
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Development of correlation rules for detecting cyber attacks
Dzadíková, Slavomíra ; Safonov, Yehor (referee) ; Martinásek, Zdeněk (advisor)
The diploma thesis deals with the problem of efficient processing of log records and their subsequent analysis using correlation rules. The goal of the thesis was to implement log processing in a structured form, extract individual log fields using a natural language processing model by solving a question answering problem, and develop correlation rules for detecting malicious behavior. Two datasets were produced during the task solution, one with records from Windows devices, and the other containing records from the Fortigate firewall. Pre-trained models based on the BERT and XLNet architecture were created and trained to solve the log parsing problem using the produced datasets, and the results were analyzed and compared. The second part of the thesis was devoted to the development of correlation rules, where the concept of a generic Sigma notation was investigated. It was developed, successfully tested and deployed six correlation rules into own experimental environment in Elastic Stack system. Each rule is also described by tactics, techniques and sub-techniques of the MITRE ATT&CK framework.
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Correlation of standard mechanical test results and small punch test results
Holzer, Jakub ; Němec, Karel (referee) ; Válka, Libor (advisor)
The Bachelor’s thesis is aimed to sum up relations of mechanical properties of metallic materials obtained by standard mechanical tests with material properties obtained by small punch test. Methods and procedures used to evaluate material properties are evaluated and influence of external circumstances is analysed. Most important difficulties, that limit correlation of standard mechanical tests results and small punch test results, are also stated. Thesis contains an experimental validation of few selected correlation formulas.
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