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2019

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Full-Text Articles in Computer Sciences

To The Attention Of Mobile Software Developers: Guess What, Test Your App!, Luis C. Cruz, Rui Abreu, David Lo Apr 2019

To The Attention Of Mobile Software Developers: Guess What, Test Your App!, Luis C. Cruz, Rui Abreu, David Lo

Research Collection School Of Computing and Information Systems

Software testing is an important phase in the software development lifecycle because it helps in identifying bugs in a software system before it is shipped into the hand of its end users. There are numerous studies on how developers test general-purpose software applications. The idiosyncrasies of mobile software applications, however, set mobile apps apart from general-purpose systems (e.g., desktop, stand-alone applications, web services). This paper investigates working habits and challenges of mobile software developers with respect to testing. A key finding of our exhaustive study, using 1000 Android apps, demonstrates that mobile apps are still tested in a very ad …

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Fair And Dynamic Data Sharing Framework In Cloud-Assisted Internet Of Everything, Yinbin Miao, Ximeng Liu, Kim-Kwang Raymond Choo, Robert H. Deng, Hongjun Wu, Hongwei Li Apr 2019

Fair And Dynamic Data Sharing Framework In Cloud-Assisted Internet Of Everything, Yinbin Miao, Ximeng Liu, Kim-Kwang Raymond Choo, Robert H. Deng, Hongjun Wu, Hongwei Li

Research Collection School Of Computing and Information Systems

Cloud-assisted Internet of Things (IoT) is increasingly prevalent in our society, for example in home and office environment; hence, it is also known as cloud-assisted Internet of Everything (IoE). While in such a setup, data can be easily shared and disseminated (e.g., between a device, such as Amazon Echo and the cloud, such as Amazon AWS), there are potential security considerations that need to be addressed. Thus, a number of security solutions have been proposed. For example, searchable encryption (SE) has been extensively studied due to its capability to facilitate searching of encrypted data. However, threat models in most existing …

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Estimating And Visualizing Debt Using Debt Calculator, Donald E. Landrum Jr., Caleb D.H. Parks Apr 2019

Estimating And Visualizing Debt Using Debt Calculator, Donald E. Landrum Jr., Caleb D.H. Parks

Senior Theses

Debt Calculator is a web application that our team developed this year to assist users in understanding and visualizing both their current debt sources, such as student loans, car loans, and credit card debt, and the impact that upcoming career choices, such as where they attend graduate school or which job offer they accept, will have on their standards of living and savings accounts. All of the data that our application bases its analysis upon is entered by the user, and none of the algorithms that our application performs are particularly unique or proprietary; rather, the value that our application …

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An Instruction Embedding Model For Binary Code Analysis, Kimberly Michelle Redmond Apr 2019

An Instruction Embedding Model For Binary Code Analysis, Kimberly Michelle Redmond

Theses and Dissertations

Binary code analysis is important for understanding programs without access to the original source code, which is common with proprietary software. Analyzing binaries can be challenging given their high variability: due to growth in tech manufactur- ers, source code is now frequently compiled for multiple instruction set architectures (ISAs); however, there is no formal dictionary that translates between their assem- bly languages. The difficulty of analysis is further compounded by different compiler optimizations and obfuscated malware signatures. Such minutiae means that some vulnerabilities may only be detectable on a fine-grained level. Recent strides in ma- chine learning—particularly in Natural Language …

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An Examination Of The Factors Correlating With Course Failure In A High School Computer Science Course, Steven Mcgee, Ronald I. Greenberg, Lucia Dettori, Andrew M. Rasmussen, Erica Wheeler, Randi Mcgee-Tekula, Jennifer Duck Apr 2019

An Examination Of The Factors Correlating With Course Failure In A High School Computer Science Course, Steven Mcgee, Ronald I. Greenberg, Lucia Dettori, Andrew M. Rasmussen, Erica Wheeler, Randi Mcgee-Tekula, Jennifer Duck

Computer Science: Faculty Publications and Other Works

No abstract provided.

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"Study Of Access And Outcomes From Advanced Computer Science Coursework In The Chicago Public Schools'' Poster In Structured Poster Session Cs For All: An Intersectional Approach To Unpacking Equity In Computer Science Education, Steven Mcgee, Randi Mcgee-Tekula, Jennifer Duck, Lucia Dettori, Andrew M. Rasmussen, Erica Wheeler, Ronald Greenberg Apr 2019

"Study Of Access And Outcomes From Advanced Computer Science Coursework In The Chicago Public Schools'' Poster In Structured Poster Session Cs For All: An Intersectional Approach To Unpacking Equity In Computer Science Education, Steven Mcgee, Randi Mcgee-Tekula, Jennifer Duck, Lucia Dettori, Andrew M. Rasmussen, Erica Wheeler, Ronald Greenberg

Computer Science: Faculty Publications and Other Works

The Chicago Public Schools (CPS) has taken a unique approach to broadening participation of low-income students, students of color, and girls by establishing Computer Science (CS) as a high school graduation requirement. This policy ensures that all CPS high school students will take a CS course, starting with the class of 2020. However, equity is more than just access. We define equity as equivalence in both the quality and outcomes of CS experiences. Exploring Computer Science (ECS) is the foundational course that fulfills the CPS requirement. Through ECS professional development, the number of qualified ECS teachers has grown. Two years …

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Discursive Power In Contemporary Media Systems: A Comparative Framework, Andreas Jungherr, Oliver Posegga, Jisun An Apr 2019

Discursive Power In Contemporary Media Systems: A Comparative Framework, Andreas Jungherr, Oliver Posegga, Jisun An

Research Collection School Of Computing and Information Systems

Contemporary media systems are in transition. The constellation of organizations, groups, and individuals contributing information to national and international news flows has changed as a result of the digital transformation. The 'hybrid media system' has proven to be one of the most instructive concepts addressing this change. Its focus on the mutually dependent interconnections between various types of media organizations, actors, and publics has inspired prolific research. Yet the concept can tempt researchers to sidestep systematic analyses of information flows and actors’ differing degrees of influence by treating media systems as a black box. To enable large-scale, empirical comparative studies …

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Cst1101–Problem Solving With Computer Programming, Syllabus, Spring 2019, Douglas L. Moody Apr 2019

Cst1101–Problem Solving With Computer Programming, Syllabus, Spring 2019, Douglas L. Moody

Open Educational Resources

No abstract provided.

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Enhancing Portability In High Performance Computing: Designing Fast Scientific Code With Longevity, Jason Orender Apr 2019

Enhancing Portability In High Performance Computing: Designing Fast Scientific Code With Longevity, Jason Orender

Computer Science Theses & Dissertations

Portability, an oftentimes sought-after goal in scientific applications, confers a number of possible advantages onto computer code. Portable code will often have greater longevity, enjoy a broader ecosystem, appeal to a wider variety of application developers, and by definition will run on more systems than its pigeonholed counterpart. These advantages come at a cost, however, and a rational approach to balancing costs and benefits requires a systemic evaluation. While the benefits for each application are likely situation-dependent, the costs in terms of resources, including but not limited to time, money, computational power, and memory requirements, are quantifiable. This document will …

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The Capacitated Team Orienteering Problem, Aldy Gunawan, Kien Ming Ng, Vincent F. Yu, Gordy Adiprasetyo, Hoong Chuin Lau Apr 2019

The Capacitated Team Orienteering Problem, Aldy Gunawan, Kien Ming Ng, Vincent F. Yu, Gordy Adiprasetyo, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

This paper focuses on a recent variant of the Orienteering Problem (OP), namely the Capacitated Team OP (CTOP) which arises in the logistics industry. In this problem, each node is associated with a demand that needs to be satisfied and a score that need to be collected. Given a set of homogeneous fleet of vehicles, the objective is to find a path for each vehicle in order to maximize the total collected score, without violating the capacity and time budget. We propose an Iterated Local Search (ILS) algorithm for solving the CTOP. Two strategies, either accepting a new solution as …

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Deepreview: Automatic Code Review Using Deep Multi-Instance Learning, Hengyi Li, Shuting Shi, Ferdian Thung, Xuan Huo, Bowen Xu, Ming Li, David Lo Apr 2019

Deepreview: Automatic Code Review Using Deep Multi-Instance Learning, Hengyi Li, Shuting Shi, Ferdian Thung, Xuan Huo, Bowen Xu, Ming Li, David Lo

Research Collection School Of Computing and Information Systems

Code review, an inspection of code changes in order to identify and fix defects before integration, is essential in Software Quality Assurance (SQA). Code review is a time-consuming task since the reviewers need to understand, analysis and provide comments manually. To alleviate the burden of reviewers, automatic code review is needed. However, this task has not been well studied before. To bridge this research gap, in this paper, we formalize automatic code review as a multi-instance learning task that each change consisting of multiple hunks is regarded as a bag, and each hunk is described as an instance. We propose …

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Route Planning For A Fleet Of Electric Vehicles With Waiting Times At Charging Stations, Baoxiang Li, Shashi Shekhar Jha, Hoong Chuin Lau Apr 2019

Route Planning For A Fleet Of Electric Vehicles With Waiting Times At Charging Stations, Baoxiang Li, Shashi Shekhar Jha, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Electric Vehicles (EVs) are the next wave of technology in the transportation industry. EVs are increasingly becoming common for personal transport and pushing the boundaries to become the mainstream mode of transportation. Use of such EVs in logistic fleets for delivering customer goods is not far from becoming reality. However, managing such fleet of EVs bring new challenges in terms of battery capacities and charging infrastructure for efficient route planning. Researchers have addressed such issues considering different aspects of the EVs such as linear battery charging/discharging rate, fixed travel times, etc. In this paper, we address the issue of waiting …

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Maximizing Multifaceted Network Influence, Yuchen Li, Ju Fan, George V. Ovchinnikov, Panagiotis Karras Apr 2019

Maximizing Multifaceted Network Influence, Yuchen Li, Ju Fan, George V. Ovchinnikov, Panagiotis Karras

Research Collection School Of Computing and Information Systems

An information dissemination campaign is often multifaceted, involving several facets or pieces of information disseminating from different sources. The question then arises, how should we assign such pieces to eligible sources so as to achieve the best viral dissemination results? Past research has studied the problem of Influence Maximization (IM), which is to select a set of k promoters that maximizes the expected reach of a message over a network. However, in this classical IM problem, each promoter spreads out the same unitary piece of information. In this paper, we propose the Optimal Influential Pieces Assignment (OIPA) problem, which is …

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Cinema: Efficient And Privacy-Preserving Online Medical Primary Diagnosis With Skyline Query, Jianfeng Hua, Hui Zhu, Fengwei Wang, Ximeng Liu, Rongxing Lu, Hao Li, Yeping Zhang Apr 2019

Cinema: Efficient And Privacy-Preserving Online Medical Primary Diagnosis With Skyline Query, Jianfeng Hua, Hui Zhu, Fengwei Wang, Ximeng Liu, Rongxing Lu, Hao Li, Yeping Zhang

Research Collection School Of Computing and Information Systems

Online medical primary diagnosis system, which can provide convenient medical decision support through applying mobile communication and data analysis technology, has been considered as a promising approach to improve the quality of healthcare service. However, it still faces many severe challenges on the privacy of users' health information and the accuracy of diagnosis result, which deter the wide adoption of online medical primary diagnosis system. In this paper, we propose an efficient and privacy-preserving online medical primary diagnosis (CINEMA) framework. Within CINEMA framework, users can access online medical primary diagnosing service accurately without divulging their medical data. Specifically, based on …

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Perception Coordination Network: A Neuro Framework For Multimodal Concept Acquisition And Binding, You-Lu Xing, Xiao-Feng Shi, Fu-Rao Shen, Jin-Xi Zhao, Jing-Xin Pan, Ah-Hwee Tan Apr 2019

Perception Coordination Network: A Neuro Framework For Multimodal Concept Acquisition And Binding, You-Lu Xing, Xiao-Feng Shi, Fu-Rao Shen, Jin-Xi Zhao, Jing-Xin Pan, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

To simulate the concept acquisition and binding of different senses in the brain, a biologically inspired neural network model named perception coordination network (PCN) is proposed. It is a hierarchical structure, which is functionally divided into the primary sensory area (PSA), the primary sensory association area (SAA), and the higher order association area (HAA). The PSA contains feature neurons which respond to many elementary features, e.g., colors, shapes, syllables, and basic flavors. The SAA contains primary concept neurons which combine the elementary features in the PSA to represent unimodal concept of objects, e.g., the image of an apple, the Chinese …

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Dependable Machine Intelligence At The Tactical Edge, Archan Misra, Kasthuri Jayarajah, Dulanga Kaveesha Weerakoon Weerakoon Mudiyanselage, Randy Tandriansyah Daratan, Shuochao Yao, Tarek Abdelzaher Apr 2019

Dependable Machine Intelligence At The Tactical Edge, Archan Misra, Kasthuri Jayarajah, Dulanga Kaveesha Weerakoon Weerakoon Mudiyanselage, Randy Tandriansyah Daratan, Shuochao Yao, Tarek Abdelzaher

Research Collection School Of Computing and Information Systems

The paper describes a vision for dependable application of machine learning-based inferencing on resource-constrained edge devices. The high computational overhead of sophisticated deep learning learning techniques imposes a prohibitive overhead, both in terms of energy consumption and sustainable processing throughput, on such resource-constrained edge devices (e.g., audio or video sensors). To overcome these limitations, we propose a ``cognitive edge" paradigm, whereby (a) an edge device first autonomously uses statistical analysis to identify potential collaborative IoT nodes, and (b) the IoT nodes then perform real-time sharing of various intermediate state to improve their individual execution of machine intelligence tasks. We provide …

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A Data-Driven Approach For Modeling Agents, Hamdi Kavak Apr 2019

A Data-Driven Approach For Modeling Agents, Hamdi Kavak

Computational Modeling & Simulation Engineering Theses & Dissertations

Agents are commonly created on a set of simple rules driven by theories, hypotheses, and assumptions. Such modeling premise has limited use of real-world data and is challenged when modeling real-world systems due to the lack of empirical grounding. Simultaneously, the last decade has witnessed the production and availability of large-scale data from various sensors that carry behavioral signals. These data sources have the potential to change the way we create agent-based models; from simple rules to driven by data. Despite this opportunity, the literature has neglected to offer a modeling approach to generate granular agent behaviors from data, creating …

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Cybersecurity In The Maritime Domain, Gary C. Kessler Apr 2019

Cybersecurity In The Maritime Domain, Gary C. Kessler

Publications

In 2017 and 2018, the maritime industry saw a record number of attempted—and many successful—frauds via email, phishing, or other means. Demonstrated and actual attacks on vessel networks, communication systems, and navigation systems have become practically routine. Port and shipping line networks are increasingly vulnerable to what appears to be increasingly targeted attacks against maritime systems.

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Resilience For Asynchronous Iterative Methods For Sparse Linear Systems, Evan Coleman Apr 2019

Resilience For Asynchronous Iterative Methods For Sparse Linear Systems, Evan Coleman

Computational Modeling & Simulation Engineering Theses & Dissertations

Large scale simulations are used in a variety of application areas in science and engineering to help forward the progress of innovation. Many spend the vast majority of their computational time attempting to solve large systems of linear equations; typically arising from discretizations of partial differential equations that are used to mathematically model various phenomena. The algorithms used to solve these problems are typically iterative in nature, and making efficient use of computational time on High Performance Computing (HPC) clusters involves constantly improving these iterative algorithms. Future HPC platforms are expected to encounter three main problem areas: scalability of code, …

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High-Performance Reductive Strategies For Big Data From Lc-Ms/Ms Proteomics, Muaaz Gul Awan Apr 2019

High-Performance Reductive Strategies For Big Data From Lc-Ms/Ms Proteomics, Muaaz Gul Awan

Dissertations

Mass Spectrometry (MS)-based proteomics utilizes high performance liquid chromatography in tandem with high-throughput mass spectrometers. These experiments can produce MS data sets with astonishing speed and volume that can easily reach peta-scale level, creating storage and computational problems for large-scale systems biology studies. Each spectrum output by a mass spectrometer may consist of thousands of peaks, which must all be processed to deduce the corresponding peptide. However, only a small percentage of peaks in a spectrum are useful for further processing, as most of the peaks are either noise or are not useful. Our experiments have shown that 90 to …

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Towards An Architecture For Secure Privacy-Preserving Opportunistic Resource Utilization Networks, Ahmed A. Al-Gburi Apr 2019

Towards An Architecture For Secure Privacy-Preserving Opportunistic Resource Utilization Networks, Ahmed A. Al-Gburi

Dissertations

The paradigm of Opportunistic Resource Utilization Networks (oppnets) advances technology in the field of ad hoc networks. The salient feature of oppnets is their use of “helpers” to expand opportunistically when the need for more resources or capabilities arises. Like any other pervasive computing systems, oppnets face numerous security and privacy challenges. These challenges are addressed by utilizing two major ideas: Pervasive Trust Foundation (PTF) and Active Data Bundles (ADBs). The PTF paradigm makes trust the basis for security and privacy in pervasive computing systems, including oppnets. The ADBs are self-protecting data constructs that encapsulate together—in an inseparable way—sensitive data, …

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Google Trends Data As A Proxy For Interest In Leadership, Finley W. Walker Apr 2019

Google Trends Data As A Proxy For Interest In Leadership, Finley W. Walker

Doctor of Education (Ed.D)

The purpose of this quantitative study was to investigate the observable patterns of online search behavior in the topic of leadership using Google Trends data. Institutions have had a historically difficult time predicting good leadership candidates. Better predictions can be made by using the big data offered by groups such as Google to learn who, where, and when people are interested in leadership. The study utilized descriptive, comparative, and correlative methodologies to study Google users’ interest in leadership from 2004 to 2017. Society has placed great value into leadership throughout history, and though overall interest remains strong, it appears that …

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After Https: Indicating Risk Instead Of Security, Matthew Wayne Holt Apr 2019

After Https: Indicating Risk Instead Of Security, Matthew Wayne Holt

Theses and Dissertations

Browser security indicators show warnings when sites load without HTTPS, but more malicious sites are using HTTPS to appear legitimate in browsers and deceive users. We explore a new approach to browser indicators that overcomes several limitations of existing indicators. First, we develop a high-level risk assessment framework to identify risky interactions and evaluate the utility of this approach through a survey. Next, we evaluate potential designs for a new risk indicator to communicate risk rather than security. Finally, we conduct a within-subjects user study to compare the risk indicator to existing security indicators by observing participant behavior and collecting …

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Representation And Reconstruction Of Linear, Time-Invariant Networks, Nathan Scott Woodbury Apr 2019

Representation And Reconstruction Of Linear, Time-Invariant Networks, Nathan Scott Woodbury

Theses and Dissertations

Network reconstruction is the process of recovering a unique structured representation of some dynamic system using input-output data and some additional knowledge about the structure of the system. Many network reconstruction algorithms have been proposed in recent years, most dealing with the reconstruction of strictly proper networks (i.e., networks that require delays in all dynamics between measured variables). However, no reconstruction technique presently exists capable of recovering both the structure and dynamics of networks where links are proper (delays in dynamics are not required) and not necessarily strictly proper.The ultimate objective of this dissertation is to develop algorithms capable of …

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Enhancing The Teaching And Learning Process Using Video Streaming Servers And Forecasting Techniques, Raza Hasan, Sellappan Palaniappan, Salman Mahmood, Babar Shah, Ali Abbas, Kamal Uddin Sarker Apr 2019

Enhancing The Teaching And Learning Process Using Video Streaming Servers And Forecasting Techniques, Raza Hasan, Sellappan Palaniappan, Salman Mahmood, Babar Shah, Ali Abbas, Kamal Uddin Sarker

All Works

© 2019 by the authors. Higher educational institutes (HEI) are adopting ubiquitous and smart equipment such as mobile devices or digital gadgets to deliver educational content in a more effective manner than the traditional approaches. In present works, a lot of smart classroom approaches have been developed, however, the student learning experience is not yet fully explored. Moreover, module historical data over time is not considered which could provide insight into the possible outcomes in the future, leading new improvements and working as an early detection method for the future results within the module. This paper proposes a framework by …

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Compromised User Credentials Detection In A Digital Enterprise Using Behavioral Analytics, Saleh Shah, Babar Shah, Adnan Amin, Feras Al-Obeidat, Francis Chow, Fernando Joaquim Lopes Moreira, Sajid Anwar Apr 2019

Compromised User Credentials Detection In A Digital Enterprise Using Behavioral Analytics, Saleh Shah, Babar Shah, Adnan Amin, Feras Al-Obeidat, Francis Chow, Fernando Joaquim Lopes Moreira, Sajid Anwar

All Works

© 2018 In today's digital age, the digital transformation is necessary for almost every competitive enterprise in terms of having access to the best resources and ensuring customer satisfaction. However, due to such rewards, these enterprises are facing key concerns around the risk of next-generation data security or cybercrime which is continually increasing issue due to the digital transformation four essential pillars—cloud computing, big data analytics, social and mobile computing. Data transformation-driven enterprises should ready to handle this next-generation data security problem, in particular, the compromised user credential (CUC). When an intruder or cybercriminal develops trust relationships as a legitimate …

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Wireless Sensor Networks For Big Data Systems, Beom Su Kim, Ki Il Kim, Babar Shah, Francis Chow, Kyong Hoon Kim Apr 2019

Wireless Sensor Networks For Big Data Systems, Beom Su Kim, Ki Il Kim, Babar Shah, Francis Chow, Kyong Hoon Kim

All Works

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. Before discovering meaningful knowledge from big data systems, it is first necessary to build a data-gathering infrastructure. Among many feasible data sources, wireless sensor networks (WSNs) are rich big data sources: a large amount of data is generated by various sensor nodes in large-scale networks. However, unlike typical wireless networks, WSNs have serious deficiencies in terms of data reliability and communication owing to the limited capabilities of the nodes. Moreover, a considerable amount of sensed data are of no interest, meaningless, and redundant when a large number of sensor nodes is …

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A Framework To Reveal Clandestine Organ Trafficking In The Dark Web And Beyond, Michael P. Heinl, Bo Yu, Duminda Wijesekera Mar 2019

A Framework To Reveal Clandestine Organ Trafficking In The Dark Web And Beyond, Michael P. Heinl, Bo Yu, Duminda Wijesekera

Journal of Digital Forensics, Security and Law

Due to the scarcity of transplantable organs, patients have to wait on long lists for many years to get a matching kidney. This scarcity has created an illicit market place for wealthy recipients to avoid long waiting times. Brokers arrange such organ transplants and collect most of the payment that is sometimes channeled to fund other illicit activities. In order to collect and disburse payments, they often resort to money laundering-like schemes of money transfers. As the low-cost Internet arrives in some of the affected countries, social media and the dark web are used to illegally trade human organs. This …

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Digital Forensics, A Need For Credentials And Standards, Nima Zahadat Mar 2019

Digital Forensics, A Need For Credentials And Standards, Nima Zahadat

Journal of Digital Forensics, Security and Law

The purpose of the conducted study was to explore the credentialing of digital forensic investigators, drawing from applicable literature. A qualitative, descriptive research design was adopted which entailed searching across Google Scholar and ProQuest databases for peer reviewed articles on the subject matter. The resulting scholarship was vetted for timeliness and relevance prior to identification of key ideas on credentialing. The findings of the study indicated that though credentialing was a major issue in digital forensics with an attentive audience of stakeholders, it had been largely overshadowed by the fundamental curricula problems in the discipline. A large portion of research …

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Front Matter Mar 2019

Front Matter

Journal of Digital Forensics, Security and Law

No abstract provided.

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