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Automated Man-In-The-Middle Attack Against Wi‑Fi Networks, Martin Vondráček, Jan Pluskal, Ondřej Ryšavý 2018 Brno University of Technology, Brno, Czech Republic

Automated Man-In-The-Middle Attack Against Wi‑Fi Networks, Martin Vondráček, Jan Pluskal, Ondřej Ryšavý

Journal of Digital Forensics, Security and Law

Currently used wireless communication technologies suffer security weaknesses that can be exploited allowing to eavesdrop or to spoof network communication. In this paper, we present a practical tool that can automate the attack on wireless security. The developed package called wifimitm provides functionality for the automation of MitM attacks in the wireless environment. The package combines several existing tools and attack strategies to bypass the wireless security mechanisms, such as WEP, WPA, and WPS. The presented tool can be integrated into a solution for automated penetration testing. Also, a popularization of the fact that such attacks can be easily automated ...


Poster: Towards Safe Refactoring For Intelligent Parallelization Of Java 8 Streams, Yiming Tang, Raffi T. Khatchadourian, Mehdi Bagherzadeh, Syed Ahmed 2018 CUNY Graduate Center

Poster: Towards Safe Refactoring For Intelligent Parallelization Of Java 8 Streams, Yiming Tang, Raffi T. Khatchadourian, Mehdi Bagherzadeh, Syed Ahmed

Publications and Research

The Java 8 Stream API sets forth a promising new programming model that incorporates functional-like, MapReduce-style features into a mainstream programming language. However, using streams correctly and efficiently may involve subtle considerations. In this poster, we present our ongoing work and preliminary results to- wards an automated refactoring approach that assists developers in writing optimal stream code. The approach, based on ordering and typestate analysis, determines when it is safe and advantageous to convert streams to parallel and optimize a parallel streams.


Visualize To Realize: Improving Safety Of First Responders, Vikas Sahu 2018 University of Nebraska at Omaha

Visualize To Realize: Improving Safety Of First Responders, Vikas Sahu

Student Research and Creative Activity Fair

The goal of this study is to improve the safety of first responders during an emergency hazardous material (hazmat) incident.

  • A first responder (FR) is an individual who arrives first during a hazmat incident and takes the initiative to act in order to minimize the risk to public health and property from such incidents. Often first responders are firefighters.
  • The reports of National Fire Protection Association recorded a national average of more than 30,000 firefighter injuries between 2010-16 (National Fire Protection Association, 2017).
  • According to the US Fire Administration, an average fatality of 120 firefighters were recorded between 2010-16 ...


Cora: Commingled Remains And Analytics – An Open Community Ecosystem, Nicole McElroy, Ryan Ernst 2018 University of Nebraska at Omaha

Cora: Commingled Remains And Analytics – An Open Community Ecosystem, Nicole Mcelroy, Ryan Ernst

Student Research and Creative Activity Fair

Anthropologists at organizations such as the DPAA (Defense POW/MIA Accounting Agency) have the tough job of sorting through commingled remains of fallen soldiers. Under the direction of Professor Pawaskar at the College of IS&T, Ryan Ernst and I are currently developing a web application for the DPAA that will help them inventory the bones and record all the appropriate associations. After the inventory web application is built we will begin the analysis process using graph theory and other mathematical algorithms. This will ultimately help organizations like the DPAA get closer to the end goal of identifying fallen soldiers ...


Overfitting In Semantics-Based Automated Program Repair, Dinh Xuan Bach LE, Ferdian THUNG, David LO, Claire LE GOUES 2018 Singapore Management University

Overfitting In Semantics-Based Automated Program Repair, Dinh Xuan Bach Le, Ferdian Thung, David Lo, Claire Le Goues

Research Collection School Of Information Systems

The primary goal of Automated Program Repair (APR) is to automatically fix buggy software, to reduce the manual bug-fix burden that presently rests on human developers. Existing APR techniques can be generally divided into two families: semantics- vs. heuristics-based. Semantics-based APR uses symbolic execution and test suites to extract semantic constraints, and uses program synthesis to synthesize repairs that satisfy the extracted constraints. Heuristic-based APR generates large populations of repair candidates via source manipulation, and searches for the best among them. Both families largely rely on a primary assumption that a program is correctly patched if the generated patch leads ...


Early Prediction Of Merged Code Changes To Prioritize Reviewing Tasks, Yuanrui FAN, Xin XIA, David LO, Shanping LI 2018 Singapore Management University

Early Prediction Of Merged Code Changes To Prioritize Reviewing Tasks, Yuanrui Fan, Xin Xia, David Lo, Shanping Li

Research Collection School Of Information Systems

Modern Code Review (MCR) has been widely used by open source and proprietary software projects. Inspecting code changes consumes reviewers much time and effort since they need to comprehend patches, and many reviewers are often assigned to review many code changes. Note that a code change might be eventually abandoned, which causes waste of time and effort. Thus, a tool that predicts early on whether a code change will be merged can help developers prioritize changes to inspect, accomplish more things given tight schedule, and not waste reviewing effort on low quality changes. In this paper, motivated by the above ...


A Call To Promote Soft Skills In Software Engineering, Luiz Fernando Capretz, Fahem Ahmed 2018 University of Western Ontario

A Call To Promote Soft Skills In Software Engineering, Luiz Fernando Capretz, Fahem Ahmed

Electrical and Computer Engineering Publications

We have been thinking about other aspects of software engineering for many years; the missing link in engineering software is the soft skills set, essential in the software development process. Although soft skills are among the most important aspects in the creation of software, they are often overlooked by educators and practitioners. One of the main reasons for the oversight is that soft skills are usually related to social and personality factors, i.e., teamwork, motivation, commitment, leadership, multi-culturalism, emotions, interpersonal skills, etc. This editorial is a manifesto declaring the importance of soft skills in software engineering with the intention ...


Risk-Sensitive Stochastic Orienteering Problems For Trip Optimization In Urban Environments, Pradeep VARAKANTHAM, Akshat KUMAR, Hoong Chuin LAU 2018 Singapore Management University

Risk-Sensitive Stochastic Orienteering Problems For Trip Optimization In Urban Environments, Pradeep Varakantham, Akshat Kumar, Hoong Chuin Lau

Research Collection School Of Information Systems

Orienteering Problems (OPs) are used to model many routing and trip planning problems. OPs are a variantof the well-known traveling salesman problem where the goal is to compute the highest reward path thatincludes a subset of vertices and has an overall travel time less than a specified deadline. However, the applicabilityof OPs is limited due to the assumption of deterministic and static travel times. To that end, Campbellet al. extended OPs to Stochastic OPs (SOPs) to represent uncertain travel times (Campbell et al. 2011). Inthis article, we make the following key contributions: (1) We extend SOPs to Dynamic SOPs (DSOPs ...


Rule-Based Specification Mining Leveraging Learning To Rank, Zherui CAO, Yuan TIAN, Bui Tien Duy LE, David LO 2018 Singapore Management University

Rule-Based Specification Mining Leveraging Learning To Rank, Zherui Cao, Yuan Tian, Bui Tien Duy Le, David Lo

Research Collection School Of Information Systems

Software systems are often released without formal specifications. To deal with the problem of lack of and outdated specifications, rule-based specification mining approaches have been proposed. These approaches analyze execution traces of a system to infer the rules that characterize the protocols, typically of a library, that its clients must obey. Rule-based specification mining approaches work by exploring the search space of all possible rules and use interestingness measures to differentiate specifications from false positives. Previous rule-based specification mining approaches often rely on one or two interestingness measures, while the potential benefit of combining multiple available interestingness measures is not ...


The Accuracy, Fairness, And Limits Of Predicting Recidivism, Julie Dressel, Hany Farid 2018 Dartmouth College

The Accuracy, Fairness, And Limits Of Predicting Recidivism, Julie Dressel, Hany Farid

Open Dartmouth: Faculty Open Access Articles

Algorithms for predicting recidivism are commonly used to assess a criminal defendant’s likelihood of committing a crime. These predictions are used in pretrial, parole, and sentencing decisions. Proponents of these systems argue that big data and advanced machine learning make these analyses more accurate and less biased than humans. We show, however, that the widely used commercial risk assessment software COMPAS is no more accurate or fair than predictions made by people with little or no criminal justice expertise. We further show that a simple linear predictor provided with only two features is nearly equivalent to COMPAS with its ...


Software Engineering Lecture Notes (Student Version), Kyle Burke 2018 Plymouth State University

Software Engineering Lecture Notes (Student Version), Kyle Burke

Open Educational Resources

Lecture notes for an upper-level undergraduate software engineering course, with a strong focus on software design. Students taking this course should have already completed a data structures course. These notes are designed to be used with Dale Skrien’s text Object Oriented Design using Java.


Reproducible Research For Computing In Science & Engineering, Lorena A. Barba, George K. Thiruvathukal 2018 George Washington University

Reproducible Research For Computing In Science & Engineering, Lorena A. Barba, George K. Thiruvathukal

George K. Thiruvathukal

The editors of the new track for reproducible research outline the parameters for future peer review, submission, and access, highlighting the magazine’s previous work in this field and some of the challenges still to come.


Universality Of Egoless Behavior Of Software Engineering Students, Pradeep Waychal, Luiz Fernando Capretz 2018 Michigan University

Universality Of Egoless Behavior Of Software Engineering Students, Pradeep Waychal, Luiz Fernando Capretz

Electrical and Computer Engineering Publications

Software organizations have relied on process and technology initiatives to compete in a highly globalized world. Unfortunately, that has led to little or no success. We propose that the organizations start working on people initiatives, such as inspiring egoless behavior among software developers. This paper proposes a multi-stage approach to develop egoless behavior and discusses the universality of the egoless behavior by studying cohorts from three different countries, i.e., Japan, India, and Canada. The three stages in the approach are self-assessment, peer validation, and action plan development. The paper covers the first stage of self-assssment using an instrument based ...


Moving Toward The Automation Of The Systematic Review Process: A Summary Of Discussions At The Second Meeting Of International Collaboration For The Automation Of Systematic Reviews (Icasr), Annette M. O'Connor, Guy Tsafnat, Stephen B. Gilbert, Kristina A. Thayer, Mary S. Wolfe 2018 Iowa State University

Moving Toward The Automation Of The Systematic Review Process: A Summary Of Discussions At The Second Meeting Of International Collaboration For The Automation Of Systematic Reviews (Icasr), Annette M. O'Connor, Guy Tsafnat, Stephen B. Gilbert, Kristina A. Thayer, Mary S. Wolfe

Veterinary Diagnostic and Production Animal Medicine Conference Proceedings and Presentations

The second meeting of the International Collaboration for Automation of Systematic Reviews (ICASR) was held 3–4 October 2016 in Philadelphia, Pennsylvania, USA. ICASR is an interdisciplinary group whose aim is to maximize the use of technology for conducting rapid, accurate, and efficient systematic reviews of scientific evidence. Having automated tools for systematic review should enable more transparent and timely review, maximizing the potential for identifying and translating research findings to practical application. The meeting brought together multiple stakeholder groups including users of summarized research, methodologists who explore production processes and systematic review quality, and technologists such as software developers ...


Big Data And Parkinson’S Disease: Exploration, Analyses, And Data Challenges, Mahalakshmi SenthilarumugamVeilukandammal, Sree Nilakanta, Baskar Ganapathysubramanian, Vellareddy Anantharam, Anumantha Kanthasamy, Auriel A. Willette 2018 Iowa State University

Big Data And Parkinson’S Disease: Exploration, Analyses, And Data Challenges, Mahalakshmi Senthilarumugamveilukandammal, Sree Nilakanta, Baskar Ganapathysubramanian, Vellareddy Anantharam, Anumantha Kanthasamy, Auriel A. Willette

Mechanical Engineering Conference Presentations, Papers, and Proceedings

In healthcare, a tremendous amount of clinical and laboratory tests, imaging, prescription and medication data are being collected. Big data analytics on these data aim at early detection of disease which will help in developing preventive measures and in improving patient care. Parkinson disease is the second-most common neurodegenerative disorder in the United States. To find a cure for Parkinson's disease biological, clinical and behavioral data of different cohorts are collected, managed and propagated through Parkinson’s Progression Markers Initiative (PPMI). Applying big data technology to this data will lead to the identification of the potential biomarkers of Parkinson ...


Energy Slices: Benchmarking With Time Slicing, Katarina Grolinger, Hany F. ElYamany, Wilson Higashino, Miriam AM Capretz, Luke Seewald 2018 Western University

Energy Slices: Benchmarking With Time Slicing, Katarina Grolinger, Hany F. Elyamany, Wilson Higashino, Miriam Am Capretz, Luke Seewald

Electrical and Computer Engineering Publications

Benchmarking makes it possible to identify low-performing buildings, establishes a baseline for measuring performance improvements, enables setting of energy conservation targets, and encourages energy savings by creating a competitive environment. Statistical approaches evaluate building energy efficiency by comparing measured energy consumption to other similar buildings typically using annual measurements. However, it is important to consider different time periods in benchmarking because of differences in their consumption patterns. For example, an office can be efficient during the night, but inefficient during operating hours due to occupants’ wasteful behavior. Moreover, benchmarking studies often use a single regression model for different building categories ...


Comparing The Usage Of React Native And Ionic, Sam Borick 2018 The University of Akron

Comparing The Usage Of React Native And Ionic, Sam Borick

Honors Research Projects

This project will compare two popular programming frameworks for building mobile applications. These frameworks are called ‘cross-platform frameworks’ as they can develop applications on multiple platforms. The scope of this project is to understand the structural reasons for the differences in these frameworks. While this project does speculate on reasons for choosing either framework, this project does not attempt to make a hard recommendation.

In this project, I built two applications, as similar as possible, in React Native and Ionic. I found that there were differences in the goals of these frameworks, lending each of the two better to different ...


Exercising Efficiently With An Equipment Ticketing Mobile Application, Eric Merryman 2018 The University of Akron

Exercising Efficiently With An Equipment Ticketing Mobile Application, Eric Merryman

Honors Research Projects

The purpose of this project is to explore the discipline of developing mobile applications using a cross-platform framework. Mobile devices have had a large influence on our lifestyles and with the global mobile application market grossing billions of dollars, many companies are adapting to the change and creating mobile applications for their business. With a variety of competing mobile devices and operating systems, companies must cater to each system. Cross-platform frameworks allow developers to quickly create mobile applications that can be used on many different devices. Xamarin.Forms is a cross-platform framework that allows developers to create a mobile application ...


Smart-Teleprompter: An Online Teleprompter With Text Editing, Mikyla Wilfred 2018 The University of Akron

Smart-Teleprompter: An Online Teleprompter With Text Editing, Mikyla Wilfred

Honors Research Projects

Mikyla Wilfred

Major: Computer Science

Project Sponsor: Dr. Collard

Number of Project Credits: 3

Smart-Teleprompter

The smart-teleprompter is a website that allows a logged in user to edit text files as well as teleprompt them straight to the screen. A teleprompter is used by newscasters and other media professionals to read scripts while still looking at or near the camera. My project uses this concept creating a page that defaults to white font on a black background that can scroll through the script. The website allows the logged in user to save defaults of font color, background color, font style ...


A Behavior-Driven Recommendation System For Stack Overflow Posts, Chase D. Greco 2018 Virginia Commonwealth University

A Behavior-Driven Recommendation System For Stack Overflow Posts, Chase D. Greco

Theses and Dissertations

Developers are often tasked with maintaining complex systems. Regardless of prior experience, there will inevitably be times in which they must interact with parts of the system with which they are unfamiliar. In such cases, recommendation systems may serve as a valuable tool to assist the developer in implementing a solution. Many recommendation systems in software engineering utilize the Stack Overflow knowledge-base as the basis of forming their recommendations. Traditionally, these systems have relied on the developer to explicitly invoke them, typically in the form of specifying a query. However, there may be cases in which the developer is in ...


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