Digital Commons Network^™

Strategies To Reduce The Fiscal Impact Of Cyberattacks, Shirley Denise Smith

Walden Dissertations and Doctoral Studies

A single cyberattack event involving 1 major corporation can cause severe business and social devastation. In this single case study, a major U.S. airline company was selected for exploration of the strategies information technology administrators and airline managers implemented to reduce the financial devastation that may be caused by a cyberattack. Seven participants, of whom 4 were airline managers and 3 were IT administrators, whose primary responsibility included implementation of strategies to plan for and respond to cyberattacks participated in the data collection process. This study was grounded on the general systems theory. Data collection entailed semistructured face-to-face and telephone …

An Investigation Of Factors Motivating Employee Attitudes And Intentions To Share Knowledge In Homeland Security, Evette Maynard-Noel

CCAC Theses and Dissertations

The terrorist events of September 11, 2001, highlighted the inability of federal employees and officials to collaborate and share actionable knowledge-based information with the right people at the right time. However, much of the literature on knowledge sharing provided insight into knowledge sharing in private sector organizations and foreign public-sector organizations, instead of domestic public sectors or the United States federal government. While the importance of knowledge sharing for homeland security has been documented in the literature, there are no established frameworks that evaluate knowledge sharing motive and intentions in this context. The main goal of this research was to …

Knowledge Sharing And Customer Relations In Mobility, Katie Dyretha Moore

Walden Dissertations and Doctoral Studies

After the events of September 11, 2001, inadequacies in how government organizations and agencies shared knowledge and communication with defense mission partners became readily apparent. A reasonable U.S. government information technology expectation is the integrated use of mobile phones across organizations and agencies. Yet, it is difficult to meet this expectation, as the provisioning process for mobile devices can be different for each government organization or agency. The Department of Commerce National Institute of Standards and Technology does not set provisioning standards, and organizations and agencies determine policies tailored to their particular needs. Using Schein's theory on organizational culture, the …

Using Labeling Theory As A Guide To Examine The Patterns, Characteristics, And Sanctions Given To Cybercrimes, Brian K. Payne, Brittany Hawkins, Chunsheng Xin

Sociology & Criminal Justice Faculty Publications

Over the past decade, reports of cybercrime have soared across the globe. Criminologists agree that the increase in cybercrime stems from technological advancements that have changed all facets of societal interactions. While it is agreed that technology has shaped cybercrime, there is less understanding about the dynamics of cybercrime. In particular, some researchers have explored whether these offenses are simply traditional types of crime that are now carried out through different strategies, while others have argued that cybercrimes are, in fact, new types of crime. This ambiguity potentially limits prevention and intervention strategies. In an effort to build our understanding …

The Global Disinformation Order: 2019 Global Inventory Of Organised Social Media Manipulation, Samantha Bradshaw, Philip N. Howard

Copyright, Fair Use, Scholarly Communication, etc.

Executive Summary

Over the past three years, we have monitored the global organization of social media manipulation by governments and political parties. Our 2019 report analyses the trends of computational propaganda and the evolving tools, capacities, strategies, and resources.

1. Evidence of organized social media manipulation campaigns which have taken place in 70 countries, up from 48 countries in 2018 and 28 countries in 2017. In each country, there is at least one political party or government agency using social media to shape public attitudes domestically.

2.Social media has become co-opted by many authoritarian regimes. In 26 countries, computational propaganda …

Developmental Test And Requirements Best Practices Of Successful Information Systems Efforts Using Agile Methods, Jeremy D. Kramer, Torrey J. Wagner

Faculty Publications

This article provides insights into the current state of developmental testing (DT) and requirements management in Department of Defense information systems employing Agile development. The authors describe the study methodology and provide an overview of Agile development and testing. Insights are described for requirements, detailed planning, test execution, and reporting. This work articulates best practices related to DT and requirements management strategies for programs employing modernized Software Development Life Cycle practices.

A Novel Initial Rotor Position Alignment Method For Permanent Magnet Synchronous Motor Using Incremental Encoder, Si̇nan Yilmaz, Mehmet Ti̇mur Aydemi̇r

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a new method for the alignment of the rotor of permanent magnet synchronous motors with the phase axis of the stator during start-up. Once the rotor alignment is achieved, the real rotor position angle can be measured by using an incremental encoder and this value can be used in the field oriented control of the motor. Typically, a current is forced into the q-axis. In the proposed method a current is formed in the d-axis instead. Rotor alignment with the phase axis is achieved without any sudden motion by using a PI controller in the current loop. …

Russia Today, Cyberterrorists Tomorrow: U.S. Failure To Prepare Democracy For Cyberspace, Jonathan F. Lancelot

Journal of Digital Forensics, Security and Law

This paper is designed to expose vulnerabilities within the US electoral system, the use of cyberspace to exploit weaknesses within the information assurance strategies of the democratic and republican party organizations, and deficiencies within the social media communications and voting machine exploits. A brief history of discriminatory practices in voting rights and voting access will be set as the foundation for the argument that the system is vulnerable in the cyber age, and the need for reform at the local, state and national levels will be emphasized. The possibility of a foreign nation-state influencing the outcome of an election by …

The Evolution Of Computational Propaganda: Trends, Threats, And Implications Now And In The Future, Holly Schnader

Senior Honors Projects, 2010-2019

Computational propaganda involves the use of selected narratives, social networks, and complex algorithms in order to develop and conduct influence operations (Woolley and Howard, 2017). In recent years the use of computational propaganda as an arm of cyberwarfare has increased in frequency. I aim to explore this topic to further understand the underlying forces behind the implementation of this tactic and then conduct a futures analysis to best determine how this topic will change over time. Additionally, I hope to gain insights on the implications of the current and potential future trends that computational propaganda has.

My preliminary assessment shows …

Estimation And Improvements Of The Fundamental Qos In Networks With Random Topologies, Zhilbert Tafa

International Journal of Business and Technology

The computer communication paradigm is moving towards the ubiquitous computing and Internet of Things (IoT). Small autonomous wirelessly networked devices are becoming more and more present in monitoring and automation of every human interaction with the environment, as well as in collecting various other information from the physical world. Applications, such as remote health monitoring, intelligent homes, early fire, volcano, and earthquake detection, traffic congestion prevention etc., are already present and all share the similar networking philosophy. An additional challenging for the scientific and engineering world is the appropriateness of the alike networks which are to be deployed in the …

Evaluating Two Hands-On Tools For Teaching Local Area Network Vulnerabilities, Ariana Brown, Jinsheng Xu, Xiaohong Yuan

KSU Proceedings on Cybersecurity Education, Research and Practice

According to the Verizon’s Data Breach Investigations Report, Local Area Network (LAN) access is the top vector for insider threats and misuses. It is critical for students to learn these vulnerabilities, understand the mechanisms of exploits, and know the countermeasures. The department of Computer Science at North Carolina A&T State University designed two different educational tools that help students learn ARP Spoofing Attacks, which is the most popular attack on LAN. The first tool, called Hacker’s Graphical User Interface (HGUI), is a visualization tool that demonstrates ARP Spoofing Attack with real time animation. The second tool is a hands-on (HandsOn) …

Linking Gait Dynamics To Mechanical Cost Of Legged Locomotion, David V. Lee, Sarah L. Harris

Life Sciences Faculty Research

For millenia, legged locomotion has been of central importance to humans for hunting, agriculture, transportation, sport, and warfare. Today, the same principal considerations of locomotor performance and economy apply to legged systems designed to serve, assist, or be worn by humans in urban and natural environments. Energy comes at a premium not only for animals, wherein suitably fast and economical gaits are selected through organic evolution, but also for legged robots that must carry sufficient energy in their batteries. Although a robot's energy is spent at many levels, from control systems to actuators, we suggest that the mechanical cost of …

Breaking Down The Barriers To Operator Workload Estimation: Advancing Algorithmic Handling Of Temporal Non-Stationarity And Cross-Participant Differences For Eeg Analysis Using Deep Learning, Ryan G. Hefron

Theses and Dissertations

This research focuses on two barriers to using EEG data for workload assessment: day-to-day variability, and cross- participant applicability. Several signal processing techniques and deep learning approaches are evaluated in multi-task environments. These methods account for temporal, spatial, and frequential data dependencies. Variance of frequency- domain power distributions for cross-day workload classification is statistically significant. Skewness and kurtosis are not significant in an environment absent workload transitions, but are salient with transitions present. LSTMs improve day- to-day feature stationarity, decreasing error by 59% compared to previous best results. A multi-path convolutional recurrent model using bi-directional, residual recurrent layers significantly increases …

Writing A Moral Code: Algorithms For Ethical Reasoning By Humans And Machines, James F. Mcgrath, Ankur Gupta

Scholarship and Professional Work - LAS

The moral and ethical challenges of living in community pertain not only to the intersection of human beings one with another, but also our interactions with our machine creations. This article explores the philosophical and theological framework for reasoning and decision-making through the lens of science fiction, religion, and artificial intelligence (both real and imagined). In comparing the programming of autonomous machines with human ethical deliberation, we discover that both depend on a concrete ordering of priorities derived from a clearly defined value system.

Cyber Anomaly Detection: Using Tabulated Vectors And Embedded Analytics For Efficient Data Mining, Robert J. Gutierrez, Kenneth W. Bauer, Bradley C. Boehmke, Cade M. Saie, Trevor J. Bihl

Faculty Publications

Firewalls, especially at large organizations, process high velocity internet traffic and flag suspicious events and activities. Flagged events can be benign, such as misconfigured routers, or malignant, such as a hacker trying to gain access to a specific computer. Confounding this is that flagged events are not always obvious in their danger and the high velocity nature of the problem. Current work in firewall log analysis is manual intensive and involves manpower hours to find events to investigate. This is predominantly achieved by manually sorting firewall and intrusion detection/prevention system log data. This work aims to improve the ability of …

Malware Early-Stage Detection Using Machine Learning On Hardware Performance Counters, Anchal Raheja

Computer Science and Engineering Theses - Archive

Systems affected by Malware in the past 10 years has risen from 29 million to 780 million, which tells us it’s a rapidly growing threat. Viruses, ransomware, worms, backdoors, botnets etc. all come under malware. Ransomware alone is predicted to cost $11.5 billion in 2019. As the downtime and financial damages are rising the researchers are finding new ways to tackle this threat. However, the usual approach is prone to high false positive rate or delayed detection rate. This research explores a dynamic approach for early-stage malware detection by modeling it’s behavior using hardware performance counters with low overhead. The …

Spreading Propaganda In Cyberspace: Comparing Cyber-Resource Usage Of Al Qaeda And Isis, Kyung-Shick Choi, Claire Seungeun Lee, Robert Cadigan

International Journal of Cybersecurity Intelligence & Cybercrime

Terrorists in cyberspace are increasingly utilizing social media to promote their ideologies, recruit new members, and justify terrorist attacks and actions. This study explores the ways in which types of social media, message contents, and motives for spreading propaganda take shape in cyberspace. In order to empirically test these relations, we created a dataset with annual terrorism reports from 2011 to 2016. In our global cyberterrorism dataset, we used and connected cyber-resources (Facebook, online forum, Twitter mentions, websites, and YouTube videos) and legal documents of individual cases that were mentioned in the reports. The results show that YouTube videos were …

Social Engineering In Non-Linear Warfare, Bill Gardner

Journal of Applied Digital Evidence

This paper explores the use of hacking, leaking, and trolling by Russia to influence the 2016 United States Presidential Elections. These tactics have been called “the weapons of the geek” by some researchers. By using proxy hackers and Russian malware to break into the email of the Democratic National Committee and then giving that email to Wikileaks to publish on the Internet, the Russian government attempted to swing the election in the favor of their preferred candidate.

The source of the malware used in the DNC hack was determined to be of Russian in nature and has been used on …

Optimal Deployment Of Distant Support Jamming Formation Based On Directional Crossover Genetic Algorithm, Jinliang Luo, Jiacai Jin, Wang Lei, Ding Feng

Journal of System Simulation

Abstract: Optimal deployment of distant support jamming formation is studied for improving penetration capability of air assault group in air offensive operation. The total detection threats of penetration route are chosen as the performance indicator, and the optimal deployment mode of distant support jamming formation is built. The closed region detection method is used to compute fitness value. The difficult problem of computing detection coverage of radar net under jamming condition is solved by using traditional geometry analytic method. A selective directional crossover genetic algorithm is designed to compute the optimal deployment mode. The simulation results show that the algorithm …

Analyzing Global Cyber Attack Correlates Through An Open Database, Brady Benjamin Aiello

Master's Theses

As humanity becomes more reliant on digital storage and communication for every aspect of life, cyber attacks pose a growing threat. However, cyber attacks are generally understood as individual incidents reported in technological circles, sometimes tied to a particular vulnerability. They are not generally understood through the macroscopic lens of statistical analysis spanning years over several countries and sectors, leaving researchers largely ignorant of the larger trends and correlates between attacks. This is large part due to the lack of a coherent and open database of prominent attacks. Most data about cyber attacks has been captured using a repository of …

Elliptic Cryptosystem, Elizabeth Dettrey

UNLV Theses, Dissertations, Professional Papers, and Capstones

The elliptic cryptographic algorithm first presented in a paper by E. F. Dettrey and E. A. Yfantis is examined and explained in this thesis. The algorithm is based on the group operations of a set of points generated from an ellipse of arbitrary radii, and arbitrary center in the case of the generalized version, modulo a large prime. The security of the algorithm depends on the difficulty of solving a discrete logarithm in the groups used by this algorithm. While the elliptic cryptographic algorithm is not the most secure among the discrete logarithm based paradigm of cryptosystems for a given …

Why Certified Iot Devices Remain Untrustworthy, Donald Privitera

Master of Science in Information Technology Theses

Digital networked devices also known as Internet of Things (IoT) are ubiquitous today and are now a fundamental part of the functioning of the US digital economy and comprise a significant part of people’s daily activities. These devices have been shown to be insecure in general especially at categories that include any of the following: low-cost, home use, small business, and factory automation. There are continuing research and news reports showing Internet connected devices contain backdoors of various origins whether they be placed intentionally or are discovered as vulnerabilities. These types of devices are of concern because they are critical …

A Critical Analysis Of Mystery In Videogames, Ali Alkhafaji

College of Computing and Digital Media Dissertations

Historically, videogame research has focused on how different videogame attributes (like challenge, fantasy, control, goals, etc.) impact the player experience. This type of research is important because it can provide insight into how to design more enjoyable videogames. However, very little exists within the current literature that focuses on mystery and its impact on the player experience. This dissertation is concerned with providing the research community with a better understanding of how mystery manifests in videogames and consequently impacts the player experience, specifically curiosity and motivation. To this end, the research questions are: 1. How do players experience mystery in …

Boosted Hidden Markov Models For Malware Detection, Aditya Raghavan

Master's Projects

Digital security is an important issue today, and efficient malware detection is at the forefront of research into building secure digital systems. As with many other fields, malware detection research has seen a dramatic increase in the application of machine learning algorithms. One machine learning technique that has found widespread application in the field of pattern matching and malware detection is hidden Markov models (HMMs). Since HMM training is a hill climb technique, we can often significantly improve a model by training multiple times with different initial values. In this research, we compare boosted HMMs (using AdaBoost) to HMMs trained …

Mitigating The Effects Of Cyber Attacks And Human Control In An Autonomous Intersection, Karl C. Bentjen

Theses and Dissertations

Widespread use of fully autonomous vehicles is near. However, the desire for a human to maintain control, even if limited, of a vehicle will likely never fully subside. Protocols to safely and efficiently manage reservation-based intersections with a mixture of fully autonomous, semi-autonomous, and non-autonomous vehicles exist such as AIM, SemiAIM, and H-AIM. Missing from these protocols is persistent human control of semi-autonomous vehicles in approaching and navigating autonomous intersections without the use of traditional signals. This thesis offers a proof-of-concept of a reservation-based protocol with necessary extensions required for human control in semi-autonomous vehicles. Desired is a protocol that …

Behavior Flexibility For Autonomous Unmanned Aerial Systems, Taylor B. Bodin

Theses and Dissertations

Autonomous unmanned aerial systems (UAS) could supplement and eventually subsume a substantial portion of the mission set currently executed by remote pilots, making UAS more robust, responsive, and numerous than permitted by teleoperation alone. Unfortunately, the development of robust autonomous systems is difficult, costly, and time-consuming. Furthermore, the resulting systems often make little reuse of proven software components and offer limited adaptability for new tasks. This work presents a development platform for UAS which promotes behavioral flexibility. The platform incorporates the Unified Behavior Framework (a modular, extensible autonomy framework), the Robotic Operating System (a RSF), and PX4 (an open- source …

Outlier Classification Criterion For Multivariate Cyber Anomaly Detection, Alexander M. Trigo

Theses and Dissertations

Every day, intrusion detection systems catalogue millions of unsupervised data entries. This represents a “big data” problem for research sponsors within the Department of Defense. In a first response to this issue, raw data capture was transformed into usable vectors and an array of multivariate techniques implemented to detect potential outliers. This research expands and refines these techniques by implementing a Chi-Square Q-Q plot-based classification criteria for outlier detection. This methodology has been implemented into an R-based programming solution that allows for a refined and semi-automated user experience for intelligence analysts. Moreover, two case analyses are performed that illustrate how …

Expected Coverage (Excov): A Proposal To Compare Fuzz Test Coverage Within An Infinite Input Space, Evan V. Swihart

Theses and Dissertations

A Fuzz test is an approach used to discover vulnerabilities by intentionally sending invalid inputs to a system for the purpose of triggering some type of fault or unintended effect that renders the system vulnerable to an exploit. Fuzz testing is an important cyber-testing technique used to find and fix vulnerabilities before they are exploited. The fuzzing of military data links presents a particular challenge because existing fuzzing tools cannot be easily applied to these systems. As a result, the tools and techniques used to fuzz these links vary widely in sophistication and effectiveness. Because of the infinite, or nearly …

Trolling Pathologies, Hal Berghel

Computer Science Faculty Research

The netizen watch phrase is: don't feed the trolls. A better guide would be: learn to recognize the trolls.

Implementation Of Unmanned Aerial Vehicles Reporting Plume Cloud Concentration Values In A 3d Simulation Environment, Emily Catherine Novak

Browse all Theses and Dissertations

Unmanned aerial vehicles, or UAVs, have the potential to vastly improve plume cloud tracking at low cost. Plume clouds can be produced from blast mining, chemical warfare, unintended man-made disasters, and natural causes. This thesis provides implementation of the capability to simulate a 3D environment in which UAVs are individually controlled and each report a plume's concentration value at a specific location. It leverages existing industry standard technologies, including the PX4 autopilot system, the Gazebo simulation environment, the Robot Operating System (ROS), and QGroundControl. The provided system integrates the existing tools with a plume model plug-in that provides simulated plume …