Computer Sciences Commons^™

Single Versus Concurrent Systems: Nominal Classification In Mian, Greville G. Corbett, Sebastian Fedden, Raphael Finkel

Computer Science Faculty Publications

The Papuan language Mian allows us to refine the typology of nominal classification. Mian has two candidate classification systems, differing completely in their formal realization but overlapping considerably in their semantics. To determine whether to analyse Mian as a single system or concurrent systems we adopt a canonical approach. Our criteria – orthogonality of the systems (we give a precise measure), semantic compositionality, morphosyntactic alignment, distribution across parts of speech, exponence, and interaction with other features – point mainly to an analysis as concurrent systems. We thus improve our analysis of Mian and make progress with the typology of nominal …

Adaptation Of Legacy Computer Science Complexity Metrics To Sysml Diagrams, Victor Lopez

Von Braun Symposium Student Posters

No abstract provided.

Dynamic Technology Challenges Static Codes Of Ethics, Bo Brinkman, Catherine Flick, Don Gotterbarn, Keith Miller, Kate Vazansky, Marty J. Wolf

Computer Science Faculty Works

We describe the process of changing and the changes being suggested for the ACM Code of Ethics and Professional Conduct. In addition to addressing the technical and ethical basis for the proposed changes, we identify suggestions that commenters made in response to the first draft. We invite feedback on the proposed changes and on the suggestions that commenters made.

Mlcaf: Multi-Level Cross-Domain Semantic Context Fusioning For Behavior Identification, Muhammad Asif Razzaq, Claudia Villalonga, Sungyoung Lee, Usman Akhtar, Maqbool Ali, Eun Soo Kim, Asad Masood Khattak, Hyonwoo Seung, Taeho Hur, Jaehun Bang, Dohyeong Kim, Wajahat Ali Khan

All Works

© 2017 by the authors. Licensee MDPI, Basel, Switzerland. The emerging research on automatic identification of user’s contexts from the cross-domain environment in ubiquitous and pervasive computing systems has proved to be successful. Monitoring the diversified user’s contexts and behaviors can help in controlling lifestyle associated to chronic diseases using context-aware applications. However, availability of cross-domain heterogeneous contexts provides a challenging opportunity for their fusion to obtain abstract information for further analysis. This work demonstrates extension of our previous work from a single domain (i.e., physical activity) to multiple domains (physical activity, nutrition and clinical) for context-awareness. We propose multi-level …

Sheaf Theory Approach To Distributed Applications: Analysing Heterogeneous Data In Air Traffic Monitoring, Seyed M.H. Mansourbeigi

Computer Science Student Research

The goal of the present article is to demonstrate a mathematical modeling for distributed applications. The present paper applies tools from topology and sheaf theory as an appropriate mathematical modeling to reflect interactions among elements of distributed applications resources. Sensors are characterized from their topological representations in distributed network system. This modeling is applied for the study of the air traffic monitoring system and discuss the model in detail.

Towards A Development Of A Social Engineering Exposure Index (Sexi) Using Publicly Available Personal Information, W. Shawn Wilkerson, Yair Levy, James Richard Kiper, Martha Snyder

KSU Proceedings on Cybersecurity Education, Research and Practice

Millions of people willingly expose their lives via Internet technologies every day, and even those who stay off the Internet find themselves exposed through data breaches. Trillions of private information records flow through the Internet. Marketers gather personal preferences to coerce shopping behavior, while providers gather personal information to provide enhanced services. Few users have considered where their information is going or who has access to it. Even fewer are aware of how decisions made in their own lives expose significant pieces of information, which can be used to harm the very organizations they are affiliated with by cyber attackers. …

A Comparison Of Personal Social Media Risk Perceptions Between Undergraduate Students And Human Resource Professionals, Julio C. Rivera, Jack Howard, Samuel Goh, James Worrell, Paul Di Gangi

KSU Proceedings on Cybersecurity Education, Research and Practice

This study contrasts the social media risk perceptions of undergraduate students, versus those of certified Human Resource professionals. Social media is widely used by most segments of the population, and particularly among the age group that includes most undergraduate students. Organizations hiring employees are increasingly examining job applicant's social media postings as part of the applicant screening process. In this study we examine how these groups differ in their perceptions of the risks inherent in using social media, and what these differences may mean for students seeking employment. Recommendations are made for raising undergraduate student awareness of these risks.

Experiments With Applying Artificial Immune System In Network Attack Detection, Alexis Cooper

KSU Proceedings on Cybersecurity Education, Research and Practice

The assurance of security within a network is difficult due to the variations of attacks. This research conducts various experiments to implement an Artificial Immune System based Intrusion Detection System to identify intrusions using the Negative Selection Algorithm. This research explores the implementation of an Artificial Immune System opposed to the industry standard of machine learning. Various experiments were conducted to identify a method to separate data to avoid false-positive results. The use of an Artificial Immune System requires a self and nonself classification to determine if an intrusion is present within the network. The results of an Artificial Immune …

Reducing Human Error In Cyber Security Using The Human Factors Analysis Classification System (Hfacs)., Tommy Pollock

KSU Proceedings on Cybersecurity Education, Research and Practice

For several decades, researchers have stated that human error is a significant cause of information security breaches, yet it still remains to be a major issue today. Quantifying the effects of security incidents is often a difficult task because studies often understate or overstate the costs involved. Human error has always been a cause of failure in many industries and professions that is overlooked or ignored as an inevitability. The problem with human error is further exacerbated by the fact that the systems that are set up to keep networks secure are managed by humans. There are several causes of …

A Developmental Study On Assessing The Cybersecurity Competency Of Organizational Information System Users, Richard Nilsen, Yair Levy, Steven Terrell, Dawn Beyer

KSU Proceedings on Cybersecurity Education, Research and Practice

Organizational information system users (OISUs) that are open to cyber threats vectors are contributing to major financial and information losses for individuals, businesses, and governments. Moreover, technical cybersecurity controls may be rendered useless due to a lack of cybersecurity competency of OISUs. The main goal of this research study was to propose and validate, using subject matter experts (SMEs), a reliable hands-on assessment prototype tool for measuring the knowledge, skills, and abilities (KSAs) that comprise the cybersecurity competency of an OISU. Primarily using the Delphi methodology, this study implemented four phases of data collection using cybersecurity SMEs for proposing and …

Voice Hacking Proof Of Concept: Using Smartphones To Spread Ransomware To Traditional Pcs, Leonardo I. Mazuran, Bryson R. Payne, Tamirat T. Abegaz

KSU Proceedings on Cybersecurity Education, Research and Practice

This paper presents a working proof of concept that demonstrates the ability to deploy a sequence of hacks, triggered by speaking a smartphone command, to launch ransomware and other destructive attacks against vulnerable Windows computers on any wireless network the phone connects to after the voice command is issued. Specifically, a spoken, broadcast, or pre-recorded voice command directs vulnerable Android smartphones or tablets to a malicious download page that compromises the Android device and uses it as a proxy to run software designed to scan the Android device’s local area network for Windows computers vulnerable to the EternalBlue exploit, spreading …

Security Device Roles, Vabrice Wilder

KSU Proceedings on Cybersecurity Education, Research and Practice

“An abstract of this article was published in the proceedings of the Conference on Cybersecurity Education, Research & Practice, 2017”. Communication has evolved since the beginning of mankind from smoke signals to drones to now the internet. In a world filled with technology the security of one’s device is not to be taken for granted. A series of research was done in order to gather details about network devices that can aid in the protection of one’s information while being transferred through the internet. The findings included but not limited to, switches, the seven layers of OSI, routers, firewalls, load …

Analyzing Http Requests For Web Intrusion Detection, Sara Althubiti, Xiaohong Yuan, Albert Esterline

KSU Proceedings on Cybersecurity Education, Research and Practice

Many web application security problems related to intrusion have resulted from the rapid development of web applications. To reduce the risk of web application problems, web application developers need to take measures to write secure applications to prevent known attacks. When such measures fail, it is important to detect such attacks and find the source of the attacks to reduce the estimated risks. Intrusion detection is one of the powerful techniques designed to identify and prevent harm to the system. Most defensive techniques in Web Intrusion Systems are not able to deal with the complexity of cyber-attacks in web applications. …

"Think Before You Click. Post. Type." Lessons Learned From Our University Cyber Secuity Awareness Campaign, Rachael Innocenzi, Kaylee Brown, Peggy Liggit, Samir Tout, Andrea Tanner, Theodore Coutilish, Rocky Jenkins

KSU Proceedings on Cybersecurity Education, Research and Practice

This article discusses the lessons learned after implementing a successful university-wide cyber security campaign. The Cyber Security Awareness Committee (CyberSAC), a group comprised of diverse units across campus, collaborated together on resources, talent, people, equipment, technology, and assessment practices to meet strategic goals for cyber safety and education. The project involves assessing student learning and behavior changes after participating in a Cyber Security Password Awareness event that was run as a year-long campaign targeting undergraduate students. The results have implications for planning and implementing university-wide initiatives in the field of cyber security, and more broadly, higher education at large.

Ssetgami: Secure Software Education Through Gamification, Hector Suarez, Hooper Kincannon, Li Yang

KSU Proceedings on Cybersecurity Education, Research and Practice

Since web browsers have become essential to accomplishing everyday tasks, developing secure web applications has become a priority in order to protect user data, corporate databases and critical infrastructure against cyber-crimes . This research presents a game-like (gamification) approach to teach key concepts and skills on how to develop secure web applications. Gamification draws on motivational models, one of psychological theories. Gamification design has great potential over traditional education where we often find students demotivated and lecturers failing to engage them in learning activities. This research created game-like learning modules to teach top vulnerabilities and countermeasures for these top vulnerabilities …

Critical Digital Literacies Across Scales And Beneath The Screen, Noah Asher Golden

Education Faculty Articles and Research

Digital technologies and education scholarship tend to focus on either individual creative design or analysis of the political economy. To better understand how ideologies travel across networks, critical digital literacies must focus on enactments beneath the screen, as the linguistic constructs known as software can enact interests across scales of activity to “disembed” local actions and meaning. Investigations of these mobilities and disembedding effects challenge popular notions of digital technologies as neutral, rendering overt the ways that algorithms can naturalize manifestations of power and social arrangements. Such a framework allows for descriptive analyses of the ways hegemonic discourses are enacted …

All-Dielectric Metamaterials: Irrelevance Of Negative Refraction To Overlapped Mie Resonances, Navid Gandji, George Semouchkin, Elena Semouchkina

Michigan Tech Publications, Part 1

All-dielectric metamaterials comprised of identical resonators draw a lot of attention as low-loss media providing for negative refraction, which is commonly attributed to the double negativity of effective material parameters caused by overlapping of Mie resonances. We study dispersion diagrams of such metamaterials composed of dielectric rod arrays and show that bandwidths of positive and negative refraction and its type are irrelevant to the negativity of effective parameters; instead, they are unambiguously defined by the shape and the location of the second transmission branch in dispersion diagrams and thus can be controlled by the lattice constants.

Improving Hpc Communication Library Performance On Modern Architectures, Matthew G. F. Dosanjh

Computer Science ETDs

As high-performance computing (HPC) systems advance towards exascale (10^18 operations per second), they must leverage increasing levels of parallelism to achieve their performance goals. In addition to increased parallelism, machines of that scale will have strict power limitations placed on them. One direction currently being explored to alleviate those issues are many-core processors such as Intel’s Xeon Phi line. Many-core processors sacrifice clock speed and core complexity, such as out of order pipelining, to increase the number of cores on a die. While this increases floating point throughput, it can reduce the performance of serialized, synchronized, and latency sensitive code …

Dodrant-Homomorphic Encryption For Cloud Databases Using Table Lookup, Thomas Schwarz

Mathematics, Statistics and Computer Science Faculty Research and Publications

Users of large commercial databases increasingly want to outsource their database operations to a cloud service providers, but guaranteeing the privacy of data in an outsourced database has become the major obstacle to this move. Encrypting all data solves the privacy issue, but makes many operations on the data impossible in the cloud, unless the service provider has the capacity to decrypt data temporarily. Homomorphic encryption would solve this issue, but despite great and on-going progress, it is still far from being operationally feasible. In 2015, we presented what we now call dodrant-homomorphic encryption, a method that encrypts numeric values …

The Interval Grey Numbers Ranking Based On Risk Preferences, Zhaobin Li, Zhuo Zhang, Jian Liu, Shuai Zhang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a new method for ranking interval grey numbers to address the challenge in multi-criteria decision-making problems with interval grey numbers has been proposed. This new method involves the risk preferences of decision makers. First, we propose a new method to rank the interval grey numbers by comparing the possibility degree or whitened value. Second, we classify the decision makers into three different types according to their risk preferences then we establish the corresponding risk preference assumptions to solve the problem that different interval grey numbers with the same possibility degree or whitened value. Finally, we use a …

The Transformation Of Science With Hpc, Big Data, And Ai, Jeffrey Kirk

Commonwealth Computational Summit

High performance computing has matured into an indispensable tool for not only academic research and government labs and agencies, but also for many industry sectors: energy, manufacturing, healthcare, financial services, even digital content creation. More recently, the advent of Big Data has enabled the use of HPC techniques for large scale data analysis, expanding the scope of HPC and the reach of it into more research and enterprise use cases. Since 2012, a new regime of data-driven analytics, deep learning, has erupted in popularity, fueled by both the massive performance increases in HPC technologies and in the explosive rate of …

Harnessing The Data Revolution, Chaitan Baru

Commonwealth Computational Summit

Harnessing Data for 21st Century Science and Engineering (aka Harnessing the Data Revolution, HDR) is one of NSF's six "Big Research Ideas," aimed at supporting fundamental research in data science and engineering; developing a cohesive, federated approach to the research data infrastructure needed to power this revolution; and developing of a 21st-century data-capable workforce. HDR will enable new modes of data-driven discovery allowing researchers to ask and answer new questions in frontier science and engineering, generate new knowledge and understanding by working with domain experts, and accelerate discovery and innovation. This initiative builds on NSF's history of data science investments. …

Correct Model Selection In Multiple Regression Analyses Of Big Data, Katherine L. Thompson

Commonwealth Computational Summit

Goals:

• Improve statistical modeling in a variety of application areas
• Correctly identify the relationships present in data sets
• Understand the difficulty in choosing the correct statistical model in big data

Resource Efficient Design Of Quantum Circuits For Quantum Algorithms, Himanshu Thapliyal

Commonwealth Computational Summit

No abstract provided.

Additional Data Via Autonomous Systems To Supplement Traditional Sparse Sources For Weather Forecasting And Atmospheric Science, Suzanne Weaver Smith

Commonwealth Computational Summit

No abstract provided.

Analysis Of Complex Vertebrate Genomes: Computational Challenges And Solutions, Jeramiah J. Smith

Commonwealth Computational Summit

No abstract provided.

Tell Me Why? Tell Me More! Explaining Predictions, Iterated Learning Bias, And Counter-Polarization In Big Data Discovery Models, Olfa Nasraoui

Commonwealth Computational Summit

Outline:

What can go Wrong in Machine Learning?

• Unfair Machine Learning
• Iterated Bias & Polarization
• Black Box models

Tell me more: Counter-Polarization

Tell me why: Explanation Generation

Accurate And Scalable Query Over Large Rna‐Seq Experiments, Jinze Liu

Commonwealth Computational Summit

No abstract provided.

Integrative Computational Modeling For Developing Means To Manipulate Biological Cells And For Solving Complex Engineering Problems, Yu Zhao, Guigen Zhang

Commonwealth Computational Summit

A brief discussion on reductive vs integrative investigation

A case study: how integrative computational modeling helps advance the understanding and application of dielectrophoresis (DEP) in various situations

Other applications in advancing the design and development of nanopore, medical devices, novel materials, actuation devices, and coupled spectroscopic techniques, etc.

Cloud‐Based Text Analytics Harvesting, Cleaning And Analyzing Corporate Earnings Conference Calls, Michael Chuancai Zhang, Vikram Gazula, Dan Stone, Hong Xie

Commonwealth Computational Summit

No abstract provided.