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Dissertations / Theses on the topic 'Visualization Computer security'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Teoh, Soon Tee. "Interactive visualization techniques for computer network security /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2004. http://uclibs.org/PID/11984.

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2

Whitaker, Robert Bruce. "Applying Information Visualization to Computer Security Applications." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/636.

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This thesis presents two phases of research in applying visualization to network security challenges. The first phase included discovering the most useful and powerful features in existing computer security visualizations and incorporating them into the AdviseAid visualization platform, an existing software package. The incorporation of such a complete feature set required novel resolution of software engineering, human factors, and computer graphics issues. We also designed additional novel features, such as plugin interfaces, allowing for rapid prototyping and experimentation with novel v

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3

Luse, Andrew William. "Exploring utilization of visualization for computer and network security." [Ames, Iowa : Iowa State University], 2009.

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4

Abdullah, Kulsoom B. "Scaling and Visualizing Network Data to Facilitate in Intrusion Detection Tasks." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/10509.

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As the trend of successful network attacks continue to rise, better forms of intrusion, detection and prevention are needed. This thesis addresses network traffic visualization techniques that aid administrators in recognizing attacks. A view of port statistics and Intrusion Detection System (IDS) alerts has been developed. Each help to address issues with analyzing large datasets involving networks. Due to the amount of traffic as well as the range of possible port numbers and IP addresses, scaling techniques are necessary. A port-based overview of network activity produces an improved r

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5

Nunnally, Troy J. "Advanced visualizations for network security." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52993.

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Monitoring volumes of malicious network data for across multiple sources can potentially be overwhelming. As a result, vital data is at a greater risk of being overlooked and the time span for analyzing it could be too lengthy. One way to address this issue is to employ network security visualization techniques to evaluate security risks and identify malicious activity to help mitigate compromised nodes on a network. The purpose of this thesis is to introduce a visualization framework to help reduce task-completion time, enhance situational awareness, and decrease user error of complex visua

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6

Freet, David Nathan. "A Security Visualization Analysis Methodology for Improving Network Intrusion Detection Efficiency." Thesis, Indiana State University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10261868.

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<p> The flood of raw data generated by intrusion detection and other network monitoring devices can be so overwhelming that it causes great difficulty in detecting patterns that might indicate malicious traffic. In order to more effectively monitor and process network and forensic data within a virtualized environment, Security Visualization (SecViz) provides software-based visual interfaces to analyze live and logged network data within the domains of network security, network and cloud forensics, attack prevention, compliance management, wireless security, secure coding, and penetration test

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7

Kasemsri, Rawiroj Robert. "A Survey, Taxonomy, and Analysis of Network Security Visualization Techniques." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/cs_theses/17.

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Network security visualization is a relatively new field and is quickly gaining momentum. Network security visualization allows the display and projection of the network or system data, in hope to efficiently monitor and protect the system from any intrusions or possible attacks. Intrusions and attacks are constantly continuing to increase in number, size, and complexity. Textually reading through log files or other textual sources is currently insufficient to secure a network or system. Using graphical visualization, security information is presented visually, and not only by text. Without ne

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8

Shirazi, Patrick. "Identifying Challenges in Cybersecurity Data Visualization Dashboards." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80412.

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Nowadays, a massive amount of cybersecurity data-objects, such as security events, logs,messages, are flowing through different cybersecurity systems. With the enormous fastdevelopment of different cloud environments, big data, IoT, and so on, these amounts of data areincreasingly revolutionary. One of the challenges for different security actors, such as securityadmins, cybersecurity analysis, and network technicians, is how to utilize this amount of data inorder to reach meaningful insights, so they can be used further in diagnosis, validation, forensicand decision-making purposes. In order

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9

Musa, Shahrulniza. "Visualising network security attacks with multiple 3D visualisation and false alert classification." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/14241.

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Increasing numbers of alerts produced by network intrusion detection systems (NIDS) have burdened the job of security analysts especially in identifying and responding to them. The tasks of exploring and analysing large quantities of communication network security data are also difficult. This thesis studied the application of visualisation in combination with alerts classifier to make the exploring and understanding of network security alerts data faster and easier. The prototype software, NSAViz, has been developed to visualise and to provide an intuitive presentation of the network security

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10

Wang, Hsiu-Chung. "Toward a Heuristic Model for Evaluating the Complexity of Computer Security Visualization Interface." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/cs_theses/35.

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Computer security visualization has gained much attention in the research community in the past few years. However, the advancement in security visualization research has been hampered by the lack of standardization in visualization design, centralized datasets, and evaluation methods. We propose a new heuristic model for evaluating the complexity of computer security visualizations. This complexity evaluation method is designed to evaluate the efficiency of performing visual search in security visualizations in terms of measuring critical memory capacity load needed to perform such tasks. Our

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11

Conti, Gregory John. "Countering network level denial of information attacks using information visualization." Diss., Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-03232006-112827/.

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Thesis (Ph. D.)--Computing, Georgia Institute of Technology, 2006.<br>Stasko, John, Committee Member ; Owen, Henry, Committee Member ; Merkle, Ralph, Committee Member ; Lee, Wenke, Committee Member ; Ahamad, Mustaque, Committee Chair.

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12

Conti, Greg. "Countering network level denial of information attacks using information visualization /." Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-03232006-112827/.

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13

Abuaitah, Giovani Rimon. "Trusted Querying over Wireless Sensor Networks and Network Security Visualization." Wright State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=wright1240163119.

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14

Fink, Glenn Allen. "Visual Correlation of Network Traffic and Host Processes for Computer Security." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/28770.

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Much computer communications activity is invisible to the user, happening without explicit permission. When system administrators investigate network communications activities, they have difficulty tracing them back to the processes that cause them. The strictly layered TCP/IP networking model that underlies all widely used, general-purpose operating systems makes it impossible to trace a packet seen on the network back to the processes that are responsible for generating and receiving it. The TCP/IP model separates the concerns of network routing and process ownership so that the layers canno

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15

Gasant, Mogamad Yaqeen. "Firewall information and security visualization : improving the usage and adoption of modern network firewalls by novice users." Master's thesis, University of Cape Town, 2007. http://hdl.handle.net/11427/6398.

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Word processed copy.<br>Includes bibliographical references (leaves 77-79).<br>The increasing number of people having access to computers and the Internet and the numerous services provided by the Internet - e.g., Internet banking, online shopping, eBay, email - emphasizes the need for computer security which is understandable to novice users. Whilst the technology underlying a firewall is effective, most users have no idea how to configure the software to suit their needs. This research focuses on personal firewalls because it is our belief and I will show that personal firewalls are more at

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16

Swart, Ignatius Petrus. "Pro-active visualization of cyber security on a National Level : a South African case study." Thesis, Rhodes University, 2015. http://hdl.handle.net/10962/d1017940.

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The need for increased national cyber security situational awareness is evident from the growing number of published national cyber security strategies. Governments are progressively seen as responsible for cyber security, but at the same time increasingly constrained by legal, privacy and resource considerations. Infrastructure and services that form part of the national cyber domain are often not under the control of government, necessitating the need for information sharing between governments and commercial partners. While sharing of security information is necessary, it typically requires

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17

Mahmood, Waqas, and Muhammad Faheem Akhtar. "Validation of Machine Learning and Visualization based Static Code Analysis Technique." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4347.

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Software security has always been an afterthought in software development which results into insecure software. Companies rely on penetration testing for detecting security vulnerabilities in their software. However, incorporating security at early stage of development reduces cost and overhead. Static code analysis can be applied at implementation phase of software development life cycle. Applying machine learning and visualization for static code analysis is a novel idea. Technique can learn patterns by normalized compression distance NCD and classify source code into correct or faulty usage

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18

Conley, Thomas A. "Effective Programmatic Analysis of Network Flow Data for Security and Visualization using Higher-order Statistics and Domain Specific Embedded Languages." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1336482912.

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19

Lui, Nathan. "DependencyVis: Helping Developers Visualize Software Dependency Information." DigitalCommons@CalPoly, 2021. https://digitalcommons.calpoly.edu/theses/2270.

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The use of dependencies have been increasing in popularity over the past decade, especially as package managers such as JavaScript's npm has made getting these packages a simple command to run. However, while incidents such as the left-pad incident has increased awareness of how vulnerable relying on these packages are, there is still some work to be done when it comes to getting developers to take the extra research step to determine if a package is up to standards. Finding metrics of different packages and comparing them is always a difficult and time consuming task, especially since potenti

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20

Alfredsson, Anders, and Gustav Larsson. "Lokalisering och visualisering av område : En smartphone-applikation för en ökad trygghetskänsla." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-51574.

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Rapporten handlar om olika metoder för att lokalisera smartphones och skapandet av en Androidapplikation. Applikationen skulle visualisera Campusområdet vid Örebro universitet för att öka medvetenheten och säkerhetskänslan för personer som är där kvällar och nätter. Implementationen av systemet beskrivs tillsammans med de problem som uppstod, samt dess lösningar.<br>The report is about different methods of localizing smartphones and the creation of an Android application. The application should visualize the Campus for Örebro university to raise awareness and the sense of security for people w

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21

Kim, Tiffany Hyun-Jin. "All Trust Is Local: Empowering Users’ Authentication Decisions on the Internet." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/132.

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22

Leichtnam, Laetitia. "Detecting and visualizing anomalies in heterogeneous network events : Modeling events as graph structures and detecting communities and novelties with machine learning." Thesis, CentraleSupélec, 2020. http://www.theses.fr/2020CSUP0011.

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L'objectif général de cette thèse est d'évaluer l'intérêt des graphes dans le domaine de l'analyse des données de sécurité.Nous proposons une approche de bout en bout composé d'un modèle unifié de données réseau sous forme de graphes, d'un système de découverte de communauté, d'un système de détection d'anomalies non supervisé et d'une visualisation des données sous forme de graphes. Le modèle unifié est obtenue en utilisant des graphes de connaissance pour représenter des journaux d'évènements hétérogènes ainsi que du trafic réseau. La détection de communautés permet de sélectionner des sous-

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23

Gaw, Tyler J. "ARL-VIDS visualization techniques : 3D information visualization of network security events." 2014. http://liblink.bsu.edu/uhtbin/catkey/1745749.

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Government agencies and corporations are growing increasingly reliant on networks for day-to-day operations including communication, data processing, and data storage. As a result, these networks are in a constant state of growth. These burgeoning networks cause the number of network security events requiring investigation to grow exceptionally, creating new problems for network security analysts. The increasing number of attacks propagated against high-value networks only increases the gravity. Therefore, security analysts need assistance to be able to continue to monitor network events at an

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24

(10723926), Adefolarin Alaba Bolaji. "Community Detection of Anomaly in Large-Scale Network Dissertation - Adefolarin Bolaji .pdf." Thesis, 2021.

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<p>The detection of anomalies in real-world networks is applicable in different domains; the application includes, but is not limited to, credit card fraud detection, malware identification and classification, cancer detection from diagnostic reports, abnormal traffic detection, identification of fake media posts, and the like. Many ongoing and current researches are providing tools for analyzing labeled and unlabeled data; however, the challenges of finding anomalies and patterns in large-scale datasets still exist because of rapid changes in the threat landscape. </p><p>In this study, I impl

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