Computer Sciences | Open Access Articles | Digital Commons Network™

Personal Reflections From Eportfolio: Ahrc New York City, Daria Afanaseva

Community Action Forum: Seidenberg School

No abstract provided.

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Personal Reflections From Eportfolio: Ahrc New York City, Carlos Fermin Jahn

Community Action Forum: Seidenberg School

No abstract provided.

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Personal Reflections From Eportfolio: Ahrc New York City, Talin Dursunian

Community Action Forum: Seidenberg School

No abstract provided.

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Personal Reflections From Eportfolio: Ahrc New York City, Alexis Minneo

Community Action Forum: Seidenberg School

No abstract provided.

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Personal Reflections From Eportfolio: Ahrc New York City, Sarah Kuptsin

Community Action Forum: Seidenberg School

No abstract provided.

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Personal Reflections From Eportfolio: Ahrc New York City, Yekaterina Tsvetkova

Community Action Forum: Seidenberg School

No abstract provided.

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Personal Reflections From Eportfolio: Ahrc New York City, Kristina Grimmer

Community Action Forum: Seidenberg School

No abstract provided.

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German Foreign Policy In The Cyber Age, Patrick Schmitz 14

Honor Scholar Theses

None

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An Efficient Similarity Digests Database Lookup -- A Logarithmic Divide And Conquer Approach, Frank Breitinger, Christian Rathgeb, Harald Baier

Electrical & Computer Engineering and Computer Science Faculty Publications

Investigating seized devices within digital forensics represents a challenging task due to the increasing amount of data. Common procedures utilize automated file identification, which reduces the amount of data an investigator has to examine manually. In the past years the research field of approximate matching arises to detect similar data. However, if n denotes the number of similarity digests in a database, then the lookup for a single similarity digest is of complexity of O(n). This paper presents a concept to extend existing approximate matching algorithms, which reduces the lookup complexity from O(n) to O(log(n)). Our proposed approach is based …

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Guiding Data-Driven Transportation Decisions, Kristin A. Tufte, Basem Elazzabi, Nathan Hall, Morgan Harvey, Kath Knobe, David Maier, Veronika Margaret Megler

Computer Science Faculty Publications and Presentations

Urban transportation professionals are under increasing pressure to perform data-driven decision making and to provide data-driven performance metrics. This pressure comes from sources including the federal government and is driven, in part, by the increased volume and variety of transportation data available. This sudden increase of data is partially a result of improved technology for sensors and mobile devices as well as reduced device and storage costs. However, using this proliferation of data for decisions and performance metrics is proving to be difficult. In this paper, we describe a proposed structure for a system to support data-driven decision making. A …

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Location Prediction Of Twitter Users Using Wikipedia, Revathy Krishnamurthy, Pavan Kapanipathi, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The mining of user generated content in social media has proven very effective in domains ranging from personalization and recommendation systems to crisis management. The knowledge of online users locations makes their tweets more informative and adds another dimension to their analysis. Existing approaches to predict the location of Twitter users are purely data-driven and require large training data sets of geo-tagged tweets. The collection and modelling process of tweets can be time intensive. To overcome this drawback, we propose a novel knowledge based approach that does not require any training data. Our approach uses information in Wikipedia, about cities …

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Alignment And Dataset Identification Of Linked Data In Semantic Web, Kalpa Gunaratna, Sarasi Lalithsena, Amit P. Sheth

Kno.e.sis Publications

The Linked Open Data (LOD) cloud has gained significant attention in the Semantic Web community over the past few years. With rapid expansion in size and diversity, it consists of over 800 interlinked datasets with over 60 billion triples. These datasets encapsulate structured data and knowledge spanning over varied domains such as entertainment, life sciences, publications, geography, and government. Applications can take advantage of this by using the knowledge distributed over the interconnected datasets, which is not realistic to find in a single place elsewhere. However, two of the key obstacles in using the LOD cloud are the limited support …

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I Remember Richelieu: Is Anything Secure Anymore?, Michael G. Crowley, Michael N. Johnstone

Australian Security and Intelligence Conference

Petraeus-gate, hacked nude celebrity photos in the cloud and the recent use of a search and seizure warrant in the United States of America to seek production of customer email contents on an extraterritorial server raises important issues for the supposably safe storage of data on the World Wide Web. Not only may there be nowhere to hide in cyberspace but nothing in cyberspace may be private. This paper explores the legal and technical issues raised by the these matters with emphasis on the courts decision “In the Matter of a Warrant to Search a Certain E-Mail Account Controlled and …

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7th Australian Security And Intelligence Conference, 2014, Edith Cowan University: Conference Details, Security Research Institute, Edith Cowan University, Security Research Institute, Edith Cowan University

Australian Security and Intelligence Conference

No abstract provided.

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File Detection On Network Traffic Using Approximate Matching, Frank Breitinger, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

In recent years, Internet technologies changed enormously and allow faster Internet connections, higher data rates and mobile usage. Hence, it is possible to send huge amounts of data / files easily which is often used by insiders or attackers to steal intellectual property. As a consequence, data leakage prevention systems (DLPS) have been developed which analyze network traffic and alert in case of a data leak. Although the overall concepts of the detection techniques are known, the systems are mostly closed and commercial. Within this paper we present a new technique for network traffic analysis based on approximate matching (a.k.a …

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Quantifying Relevance Of Mobile Digital Evidence As They Relate To Case Types: A Survey And A Guide For Best Practices, Shahzad Saleem, Ibrahim Baggili, Oliver Popov

Electrical & Computer Engineering and Computer Science Faculty Publications

In this work, a survey was conducted to help quantify the relevance of nineteen types of evidence (such as SMS) to seven types of digital investigations associated with mobile devices (MD) (such as child pornography). 97 % of the respondents agreed that every type of digital evidence has a different level of relevance to further or solve a particular investigation. From 55 serious participants, a data set of 5,772 responses regarding the relevance of nineteen types of digital evidence for all the seven types of digital investigations was obtained. The results showed that (i) SMS belongs to the most relevant …

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Classifying Idiomatic And Literal Expressions Using Topic Models And Intensity Of Emotions, Jing Peng, Anna Feldman, Ekaterina Vylomova

Department of Computer Science Faculty Scholarship and Creative Works

We describe an algorithm for automatic classification of idiomatic and literal expressions. Our starting point is that words in a given text segment, such as a paragraph, that are highranking representatives of a common topic of discussion are less likely to be a part of an idiomatic expression. Our additional hypothesis is that contexts in which idioms occur, typically, are more affective and therefore, we incorporate a simple analysis of the intensity of the emotions expressed by the contexts. We investigate the bag of words topic representation of one to three paragraphs containing an expression that should be classified as …

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Exploratory Study Of Student Instructional Choice In Online Learning, Andrew Hurd

Legacy Theses & Dissertations (2009 - 2024)

This exploratory study considers choice theory, decision theory, and the constructivist theory of education to explore college-level computer science learners' behavior when presented with multiple instructional modes (instructional methods for the presentation of course content, such as video, text, audio, animation, etc.) in an online learning environment.

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Effects Of Technology On School Aged Children, Shawn Lamont Lee Jr.

Senior Seminars

The advancements of technology have greatly influenced child development. Throughout the years, as technology became more advanced, I believe that it has caused the development of the child to advance as well. When I speak about child development, it is pertaining to the stages of development in children, which are physical development, social & emotional development, cognitive development, and communication. This paper will take the reader through a timeline of influential technical advancements that have played a factor in child development, followed by an explanation of the stages of development in children, and then it will explain the positive and …

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Time Will Tell : Temporal Reasoning In Clinical Narratives And Beyond, Weiyi Sun

Legacy Theses & Dissertations (2009 - 2024)

Temporal reasoning in natural language refers to the extraction and understanding of time-related information conveyed in free text. A clinical narrative temporal reasoning component can enable a spectrum of medical natural language processing (NLP) applications that directly improve patient care documentation efficiency, accessibility and accountability. This dissertation contributes in three subtasks under temporal reasoning: temporal annotation, temporal expression extraction and temporal relation inferences. The temporal annotation work described in the dissertation produced one of the first publicly available clinical narratives. We published one of the first sets of temporal

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Industrial Wireless Sensor Networks, Shancang Li, Hongjian Sun, Arumugam Nallanathan, Li Xu, Shanshan Zhao, Qindong Sun

Information Technology & Decision Sciences Faculty Publications

(First Paragraph) Industrial wireless sensor networks (IWSNs) incorporate wireless sensor networks with intelligent industrial systems providing many advantages over existing industrial applications, such as wireless communication, low cost, rapid deployment, self-organization, intelligent controlling, and processing capability. With the proliferation of wireless sensor networks in industrial applications, IWSNs technologies promise to play a significant role in developing more reliable, efficient, stable, flexible, and application-centric industrial systems.

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Using Noninvasive Brain Measurement To Explore The Psychological Effects Of Computer Malfunctions On Users During Human-Computer Interactions, Leanne M. Hirshfield, Philip Bobko, Alex Barelka, Stuart H. Hirshfield, Mathew T. Farrington, Spencer Gulbronson, Diane Paverman

Management Faculty Publications

In today’s technologically driven world, there is a need to better understand the ways that common computer malfunctions affect computer users. These malfunctions may have measurable influences on computer user’s cognitive, emotional, and behavioral responses. An experiment was conducted where participants conducted a series of web search tasks while wearing functional nearinfrared spectroscopy (fNIRS) and galvanic skin response sensors. Two computer malfunctions were introduced during the sessions which had the potential to influence correlates of user trust and suspicion. Surveys were given after each session to measure user’s perceived emotional state, cognitive load, and perceived trust. Results suggest that fNIRS …

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Using Internet Artifacts To Profile A Child Pornography Suspect, Marcus K. Rogers, Kathryn C. Seigfried-Spellar

Journal of Digital Forensics, Security and Law

Digital evidence plays a crucial role in child pornography investigations. However, in the following case study, the authors argue that the behavioral analysis or “profiling” of digital evidence can also play a vital role in child pornography investigations. The following case study assessed the Internet Browsing History (Internet Explorer Bookmarks, Mozilla Bookmarks, and Mozilla History) from a suspected child pornography user’s computer. The suspect in this case claimed to be conducting an ad hoc law enforcement investigation. After the URLs were classified (Neutral; Adult Porn; Child Porn; Adult Dating sites; Pictures from Social Networking Profiles; Chat Sessions; Bestiality; Data Cleaning; …

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On Cyber Attacks And Signature Based Intrusion Detection For Modbus Based Industrial Control Systems, Wei Gao, Thomas H. Morris

Journal of Digital Forensics, Security and Law

Industrial control system communication networks are vulnerable to reconnaissance, response injection, command injection, and denial of service attacks. Such attacks can lead to an inability to monitor and control industrial control systems and can ultimately lead to system failure. This can result in financial loss for control system operators and economic and safety issues for the citizens who use these services. This paper describes a set of 28 cyber attacks against industrial control systems which use the MODBUS application layer network protocol. The paper also describes a set of standalone and state based intrusion detection system rules which can be …

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Idiographic Digital Profiling: Behavioral Analysis Based On Digital Forensics, Chad M. Steel

Journal of Digital Forensics, Security and Law

Idiographic digital profiling (IDP) is the application of behavioral analysis to the field of digital forensics. Previous work in this field takes a nomothetic approach to behavioral analysis by attempting to understand the aggregate behaviors of cybercriminals. This work is the first to take an idiographic approach by examining a particular subject's digital footprints for immediate use in an ongoing investigation. IDP provides a framework for investigators to analyze digital behavioral evidence for the purposes of case planning, subject identification, lead generation, obtaining and executing warrants, and prosecuting offenders.

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On Identities In Modern Networks, Libor Polcak, Radek Hranick, Tomas Martınek

Journal of Digital Forensics, Security and Law

Communicating parties inside computer networks use different kind of identifiers. Some of these identifiers are stable, e.g., logins used to access a specific service, some are only temporary, e.g., dynamically assigned IP addresses. This paper tackles several challenges of lawful interception that emerged in modern networks. The main contribution is the graph model that links identities learnt from various sources distributed in a network. The inferred identities result into an interception of more detailed data in conformance with the issued court order. The approach deals with network address translation, short-lived identifiers and simultaneous usage of different identities. The approach was …

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Exploring Forensic Implications Of The Fusion Drive, Shruti Gupta, Marcus Rogers

Journal of Digital Forensics, Security and Law

This paper explores the forensic implications of Apple’s Fusion Drive. The Fusion Drive is an example of auto-tiered storage. It uses a combination of a flash drive and a magnetic drive. Data is moved between the drives automatically to maximize system performance. This is different from traditional caches because data is moved and not simply copied. The research included understanding the drive structure, populating the drive, and then accessing data in a controlled setting to observe data migration strategies. It was observed that all the data is first written to the flash drive with 4 GB of free space always …

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Multi-Stakeholder Case Prioritization In Digital Investigations, Joshua I. James

Journal of Digital Forensics, Security and Law

This work examines the problem of case prioritization in digital investigations for better utilization of limited criminal investigation resources. Current methods of case prioritization, as well as observed prioritization methods used in digital forensic investigation laboratories are examined. After, a multi-stakeholder approach to case prioritization is given that may help reduce reputational risk to digital forensic laboratories while improving resource allocation. A survey is given that shows differing opinions of investigation priority between Law Enforcement and the public that is used in the development of a prioritization model. Finally, an example case is given to demonstrate the practicality of the …

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An Efficient Similarity Digests Database Lookup – A Logarithmic Divide & Conquer Approach, Frank Breitinger, Christian Rathgeb, Harald Baier

Journal of Digital Forensics, Security and Law

Investigating seized devices within digital forensics represents a challenging task due to the increasing amount of data. Common procedures utilize automated file identification, which reduces the amount of data an investigator has to examine manually. In the past years the research field of approximate matching arises to detect similar data. However, if n denotes the number of similarity digests in a database, then the lookup for a single similarity digest is of complexity of O(n). This paper presents a concept to extend existing approximate matching algorithms, which reduces the lookup complexity from O(n) to O(log(n)). Our proposed approach is based …

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Full-Text Articles in Computer Sciences

Personal Reflections From Eportfolio: Ahrc New York City, Daria Afanaseva

Community Action Forum: Seidenberg School

Personal Reflections From Eportfolio: Ahrc New York City, Carlos Fermin Jahn

Community Action Forum: Seidenberg School

Personal Reflections From Eportfolio: Ahrc New York City, Talin Dursunian

Community Action Forum: Seidenberg School

Personal Reflections From Eportfolio: Ahrc New York City, Alexis Minneo

Community Action Forum: Seidenberg School

Personal Reflections From Eportfolio: Ahrc New York City, Sarah Kuptsin

Community Action Forum: Seidenberg School

Personal Reflections From Eportfolio: Ahrc New York City, Yekaterina Tsvetkova

Community Action Forum: Seidenberg School

Personal Reflections From Eportfolio: Ahrc New York City, Kristina Grimmer

Community Action Forum: Seidenberg School

German Foreign Policy In The Cyber Age, Patrick Schmitz 14

Honor Scholar Theses

An Efficient Similarity Digests Database Lookup -- A Logarithmic Divide And Conquer Approach, Frank Breitinger, Christian Rathgeb, Harald Baier

Electrical & Computer Engineering and Computer Science Faculty Publications

Guiding Data-Driven Transportation Decisions, Kristin A. Tufte, Basem Elazzabi, Nathan Hall, Morgan Harvey, Kath Knobe, David Maier, Veronika Margaret Megler

Computer Science Faculty Publications and Presentations

Location Prediction Of Twitter Users Using Wikipedia, Revathy Krishnamurthy, Pavan Kapanipathi, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

Alignment And Dataset Identification Of Linked Data In Semantic Web, Kalpa Gunaratna, Sarasi Lalithsena, Amit P. Sheth

Kno.e.sis Publications

I Remember Richelieu: Is Anything Secure Anymore?, Michael G. Crowley, Michael N. Johnstone

Australian Security and Intelligence Conference

7th Australian Security And Intelligence Conference, 2014, Edith Cowan University: Conference Details, Security Research Institute, Edith Cowan University, Security Research Institute, Edith Cowan University

Australian Security and Intelligence Conference

File Detection On Network Traffic Using Approximate Matching, Frank Breitinger, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

Quantifying Relevance Of Mobile Digital Evidence As They Relate To Case Types: A Survey And A Guide For Best Practices, Shahzad Saleem, Ibrahim Baggili, Oliver Popov

Electrical & Computer Engineering and Computer Science Faculty Publications

Classifying Idiomatic And Literal Expressions Using Topic Models And Intensity Of Emotions, Jing Peng, Anna Feldman, Ekaterina Vylomova

Department of Computer Science Faculty Scholarship and Creative Works

Exploratory Study Of Student Instructional Choice In Online Learning, Andrew Hurd

Legacy Theses & Dissertations (2009 - 2024)

Effects Of Technology On School Aged Children, Shawn Lamont Lee Jr.

Senior Seminars

Time Will Tell : Temporal Reasoning In Clinical Narratives And Beyond, Weiyi Sun

Legacy Theses & Dissertations (2009 - 2024)

Industrial Wireless Sensor Networks, Shancang Li, Hongjian Sun, Arumugam Nallanathan, Li Xu, Shanshan Zhao, Qindong Sun

Information Technology & Decision Sciences Faculty Publications

Using Noninvasive Brain Measurement To Explore The Psychological Effects Of Computer Malfunctions On Users During Human-Computer Interactions, Leanne M. Hirshfield, Philip Bobko, Alex Barelka, Stuart H. Hirshfield, Mathew T. Farrington, Spencer Gulbronson, Diane Paverman

Management Faculty Publications

Using Internet Artifacts To Profile A Child Pornography Suspect, Marcus K. Rogers, Kathryn C. Seigfried-Spellar

Journal of Digital Forensics, Security and Law

On Cyber Attacks And Signature Based Intrusion Detection For Modbus Based Industrial Control Systems, Wei Gao, Thomas H. Morris

Journal of Digital Forensics, Security and Law

Idiographic Digital Profiling: Behavioral Analysis Based On Digital Forensics, Chad M. Steel

Journal of Digital Forensics, Security and Law

On Identities In Modern Networks, Libor Polcak, Radek Hranick, Tomas Martınek

Journal of Digital Forensics, Security and Law

Exploring Forensic Implications Of The Fusion Drive, Shruti Gupta, Marcus Rogers

Journal of Digital Forensics, Security and Law

Multi-Stakeholder Case Prioritization In Digital Investigations, Joshua I. James

Journal of Digital Forensics, Security and Law

An Efficient Similarity Digests Database Lookup – A Logarithmic Divide & Conquer Approach, Frank Breitinger, Christian Rathgeb, Harald Baier

Journal of Digital Forensics, Security and Law

Table Of Contents

Journal of Digital Forensics, Security and Law