Physical Sciences and Mathematics Commons^™

Computational Environment For Modeling And Analysing Network Traffic Behaviour Using The Divide And Recombine Framework, Ashrith Barthur

Open Access Dissertations

There are two essential goals of this research. The first goal is to design and construct a computational environment that is used for studying large and complex datasets in the cybersecurity domain. The second goal is to analyse the Spamhaus blacklist query dataset which includes uncovering the properties of blacklisted hosts and understanding the nature of blacklisted hosts over time.

The analytical environment enables deep analysis of very large and complex datasets by exploiting the divide and recombine framework. The capability to analyse data in depth enables one to go beyond just summary statistics in research. This deep analysis is …

Packet Filter Performance Monitor (Anti-Ddos Algorithm For Hybrid Topologies), Ibrahim M. Waziri

Open Access Dissertations

DDoS attacks are increasingly becoming a major problem. According to Arbor Networks, the largest DDoS attack reported by a respondent in 2015 was 500 Gbps. Hacker News stated that the largest DDoS attack as of March 2016 was over 600 Gbps, and the attack targeted the entire BBC website.

With this increasing frequency and threat, and the average DDoS attack duration at about 16 hours, we know for certain that DDoS attacks will not be going away anytime soon. Commercial companies are not effectively providing mitigation techniques against these attacks, considering that major corporations face the same challenges. Current security …

Monitoring Dbms Activity To Detect Insider Threat Using Query Selectivity, Prajwal B. Hegde

Open Access Theses

The objective of the research presented in this thesis is to evaluate the importance of query selectivity for monitoring DBMS activity and detect insider threat. We propose query selectivity as an additional component to an existing anomaly detection system (ADS). We first look at the advantages of working with this particular ADS. This is followed by a discussion about some existing limitations in the anomaly detection system (ADS) and how it affects its overall performance. We look at what query selectivity is and how it can help improve upon the existing limitations of the ADS. The system is then implemented …

Evaluating The Gasday Security Policy Through Penetration Testing And Application Of The Nist Cybersecurity Framework, Andrew Nicholas Kirkham

Master's Theses (2009 -)

This thesis explores cybersecurity from the perspective of the Marquette University GasDay lab. We analyze three different areas of cybersecurity in three independent chapters. Our goal is to improve the cybersecurity capabilities of GasDay, Marquette University, and the natural gas industry. We present network penetration testing as a process of attempting to gain access to resources of GasDay without prior knowledge of any valid credentials. We discuss our method of identifying potential targets using industry standard reconnaissance methods. We outline the process of attempting to gain access to these targets using automated tools and manual exploit creation. We propose several …

Leveraging Client Processing For Location Privacy In Mobile Local Search, Wisam Mohamed Eltarjaman

Electronic Theses and Dissertations

Usage of mobile services is growing rapidly. Most Internet-based services targeted for PC based browsers now have mobile counterparts. These mobile counterparts often are enhanced when they use user's location as one of the inputs. Even some PC-based services such as point of interest Search, Mapping, Airline tickets, and software download mirrors now use user's location in order to enhance their services. Location-based services are exactly these, that take the user's location as an input and enhance the experience based on that. With increased use of these services comes the increased risk to location privacy. The location is considered an …

Development Of A Cybersecurity Skills Index: A Scenarios-Based, Hands-On Measure Of Non-It Professionals' Cybersecurity Skills, Melissa Carlton

CCE Theses and Dissertations

Completing activities online are a part of everyday life, both professionally and personally. But, conducting daily operations, interacting, and sharing information on the Internet does not come without its risks as well as a potential for harm. Substantial financial and information losses for individuals, organizations, and governments are reported regularly due to vulnerabilities as well as breaches caused by insiders. Although advances in Information Technology (IT) have been significant over the past several decades when it comes to protection of corporate information systems (IS), human errors and social engineering appear to prevail in circumventing such IT protections. While most employees …

Examining Data Privacy Breaches In Healthcare, Tanshanika Turner Smith

Walden Dissertations and Doctoral Studies

Healthcare data can contain sensitive, personal, and confidential information that should remain secure. Despite the efforts to protect patient data, security breaches occur and may result in fraud, identity theft, and other damages. Grounded in the theoretical backdrop of integrated system theory, the purpose of this study was to determine the association between data privacy breaches, data storage locations, business associates, covered entities, and number of individuals affected. Study data consisted of secondary breach information retrieved from the Department of Health and Human Services Office of Civil Rights. Loglinear analytical procedures were used to examine U.S. healthcare breach incidents and …