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Articles 2641 - 2670 of 4833

Full-Text Articles in Computer Sciences

Designing Laboratories For Small Scale Digital Device Forensics, Richard P. Mislan, Tim Wedge Oct 2016

Designing Laboratories For Small Scale Digital Device Forensics, Richard P. Mislan, Tim Wedge

Annual ADFSL Conference on Digital Forensics, Security and Law

The ubiquity of small scale digital devices (SSDD), the public’s ever increasing societal dependence on SSDD, and the continual presence of SSDD at all types of crime scenes, including non-technical and violent crimes, demand a formalized curriculum for the education and training of future cyber forensic examiners. This paper presents the various SSDD forensics labs currently in use and under development for future use at the Purdue University Cyber Forensics Laboratory. The primary objective of each module is to provide specific real-world cases for the learning, comprehension, and understanding of hands-on investigative techniques and methodologies. The purpose of this paper …

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Network Forensic Investigation Of Internal Misuse/Crime In Saudi Arabia: A Hacking Case, Abdulrazaq Al-Murjan, Konstantinos Xynos Oct 2016

Network Forensic Investigation Of Internal Misuse/Crime In Saudi Arabia: A Hacking Case, Abdulrazaq Al-Murjan, Konstantinos Xynos

Annual ADFSL Conference on Digital Forensics, Security and Law

There are ad-hoc guidelines and a limited policy on computer incident response that does not include computer forensic preparation procedures (e.g. logging incidents). In addition, these guidelines do not consider the requirement of Islamic law for admissible evidence at an organisational level in Saudi Arabia. Network forensic investigation might breach the Saudi law if they follow ad-hoc or international digital forensic standards such as Association of Chief Police Officers (ACPO) guidelines. This might put the organisation in a costly situation when a malicious employee sues an Islamic court. This is because the law of Saudi Arabia is complying with Islamic …

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Paper Session Ii: Computer Forensics Field Triage Process Model, Marcus K. Rogers, James Goldman, Rick Mislan, Timothy Wedge, Steve Debrota Oct 2016

Paper Session Ii: Computer Forensics Field Triage Process Model, Marcus K. Rogers, James Goldman, Rick Mislan, Timothy Wedge, Steve Debrota

Annual ADFSL Conference on Digital Forensics, Security and Law

With the proliferation of digital based evidence, the need for the timely identification, analysis and interpretation of digital evidence is becoming more crucial. In many investigations critical information is required while at the scene or within a short period of time - measured in hours as opposed to days. The traditional cyber forensics approach of seizing a system(s)/media, transporting it to the lab, making a forensic image(s), and then searching the entire system for potential evidence, is no longer appropriate in some circumstances. In cases such as child abductions, pedophiles, missing or exploited persons, time is of the essence. In …

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Development Of A National Repository Of Digital Forensic Intelligence, Mark Weiser, David P. Biros, Greg Mosier Oct 2016

Development Of A National Repository Of Digital Forensic Intelligence, Mark Weiser, David P. Biros, Greg Mosier

Annual ADFSL Conference on Digital Forensics, Security and Law

Many people do all of their banking online, we and our children communicate with peers through computer systems, and there are many jobs that require near continuous interaction with computer systems. Criminals, however, are also “connected”, and our online interaction provides them a conduit into our information like never before. Our credit card numbers and other fiscal information are at risk, our children's personal information is exposed to the world, and our professional reputations are on the line.

The discipline of Digital Forensics in law enforcement agencies around the nation and world has grown to match the increased risk and …

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Designing A Data Warehouse For Cyber Crimes, Il-Yeol Song, John D. Maguire, Ki Jung Lee, Namyoun Choi, Xiaohua Hu, Peter Chen Oct 2016

Designing A Data Warehouse For Cyber Crimes, Il-Yeol Song, John D. Maguire, Ki Jung Lee, Namyoun Choi, Xiaohua Hu, Peter Chen

Annual ADFSL Conference on Digital Forensics, Security and Law

One of the greatest challenges facing modern society is the rising tide of cyber crimes. These crimes, since they rarely fit the model of conventional crimes, are difficult to investigate, hard to analyze, and difficult to prosecute. Collecting data in a unified framework is a mandatory step that will assist the investigator in sorting through the mountains of data. In this paper, we explore designing a dimensional model for a data warehouse that can be used in analyzing cyber crime data. We also present some interesting queries and the types of cyber crime analyses that can be performed based on …

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Github: An Introduction, Craig A. Boman Oct 2016

Github: An Introduction, Craig A. Boman

Roesch Library Staff Presentations

Tech startups have been using version control software to maximize their collaborative technology projects since their inception, but what more can librarians do to leverage this suite of tools? In this presentation, we will briefly describe how version control apps like Github may drastically improve technology collaborations in your library, specifically ILS web refreshes. After the Github introduction, those who participated in the pre-conference "hackathon" session will discuss their projects and talk about the successes and challenges they encountered.

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User Privacy Suffers At The Hands Of Access Controls, Chad N. Hoye Oct 2016

User Privacy Suffers At The Hands Of Access Controls, Chad N. Hoye

KSU Proceedings on Cybersecurity Education, Research and Practice

With advancements in personal hand held devices, smaller more mobile computers, tablets, and the world’s population connected with social media the threat to the user’s privacy has been diminished. I will look at how access control policies have opened the proverbial door to user’s privacy being attacked and threatened. You will see examples of how users have to divulge personal information to get better service and even be monitored while at work to prevent intrusions in to the company.

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Brain Betrayal: A Neuropsychological Categorization Of Insider Attacks, Rachel L. Whitman Oct 2016

Brain Betrayal: A Neuropsychological Categorization Of Insider Attacks, Rachel L. Whitman

KSU Proceedings on Cybersecurity Education, Research and Practice

Thanks to an abundance of highly publicized data breaches, Information Security (InfoSec) is taking a larger place in organizational priorities. Despite the increased attention, the threat posed to employers by their own employees remains a frightening prospect studied mostly in a technical light. This paper presents a categorization of insider deviant behavior and misbehavior based off of the neuropsychological foundations of three main types of insiders posing a threat to an organization: accidental attackers; neurologically “hot” malcontents, and neurologically “cold” opportunists.

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Smu Enhances Curriculum And Expands Offering To Prepare Undergraduates For The Digital Age, Singapore Management University Oct 2016

Smu Enhances Curriculum And Expands Offering To Prepare Undergraduates For The Digital Age, Singapore Management University

SMU Press Releases and News

Demand for infocomm professionals in Singapore is outpacing supply with 30,000 new infocomm jobs expected by 2020. The Infocomm Media 2025 masterplan has identified salient trends that are significant for the next decade, these include Big Data & Analytics, Internet of Things and Cybersecurity. The masterplan also highlighted future key infocomm job areas: Software Development, Cybersecurity, Data Analytics, and Network Infrastructure. In response to these industry trends and demand, SMU has strengthened its undergraduate curriculum in three schools to contribute to the 'future-proofing' of Singapore. The School of Information Systems (SIS) has revised its undergraduate curriculum in response to changes …

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Anxiolytic Effects Of Propranolol And Diphenoxylate On Mice And Automated Stretch-Attend Posture Analysis, Kevin Scott Holly Oct 2016

Anxiolytic Effects Of Propranolol And Diphenoxylate On Mice And Automated Stretch-Attend Posture Analysis, Kevin Scott Holly

Doctoral Dissertations

The prevention of social anxiety, performance anxiety, and social phobia via the combination of two generic drugs, diphenoxylate HC1 (opioid) plus atropine sulfate (anticholinergic) and propranolol HCl (beta blocker) was evaluated in mice through behavioral studies. A patent published on a September 8, 2011 by Benjamin D. Holly, US 2011/0218215 Al, prompted the research. The drug combination of diphenoxylate and atropine plus propranolol could be an immediate treatment for patients suffering from acute phobic and social anxiety disorders. Demonstrating the anxiolytic effects of the treatment on mice would validate a mouse model for neuroscientist to be used to detect the …

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A Pilot Study Of Comparison Gesture Analysis In Motion Driven Video Games, Fabrizio Valerio Covone, Brian Vaughan, Charlie Cullen Oct 2016

A Pilot Study Of Comparison Gesture Analysis In Motion Driven Video Games, Fabrizio Valerio Covone, Brian Vaughan, Charlie Cullen

Conference Papers

This study investigates whether there are significant differences in the gestures made by gamers and non-gamers whilst playing commercial games that employ gesture inputs. Specifically, the study focuses on testing a prototype of multimodal capture tool that we used to obtain real-time audio, video and skeletal gesture data. Additionally, we developed an experimental design framework for the acquisition of spatio-temporal gesture data and analysed the vector magnitude of a gesture to compare the relative displacement of each participant whilst playing a game.

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Multiple Imputation Of Missing Data In Structural Equation Models With Mediators And Moderators Using Gradient Boosted Machine Learning, Robert J. Milletich Ii Oct 2016

Multiple Imputation Of Missing Data In Structural Equation Models With Mediators And Moderators Using Gradient Boosted Machine Learning, Robert J. Milletich Ii

Psychology Theses & Dissertations

Mediation and moderated mediation models are two commonly used models for indirect effects analysis. In practice, missing data is a pervasive problem in structural equation modeling with psychological data. Multiple imputation (MI) is one method used to estimate model parameters in the presence of missing data, while accounting for uncertainty due to the missing data. Unfortunately, commonly used MI methods are not equipped to handle categorical variables or nonlinear variables such as interactions. In this study, we introduce a general MI framework that uses the Bayesian bootstrap (BB) method to generate posterior inferences for indirect effects and gradient boosted machine …

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Achieving Economic And Environmental Sustainabilities In Urban Consolidation Center With Bicriteria Auction, Stephanus Daniel Handoko, Hoong Chuin Lau, Shih-Fen Cheng Oct 2016

Achieving Economic And Environmental Sustainabilities In Urban Consolidation Center With Bicriteria Auction, Stephanus Daniel Handoko, Hoong Chuin Lau, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

Consolidation lies at the heart of the last-mile logistics problem. Urban consolidation centers (UCCs) have been set up to facilitate such consolidation all over the world. To the best of our knowledge, most-if not all-of the UCCs operate on volume-based fixed-rate charges. To achieve environmental sustainability while ensuring economic sustainability in urban logistics, we propose, in this paper, a bicriteria auction mechanism for the automated assignment of last-mile delivery orders to transport resources. We formulate and solve the winner determination problem of the auction as a biobjective programming model. We then present a systematic way to generate the Pareto frontier …

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Tracking Virality And Susceptibility In Social Media, Tuan Anh Hoang, Ee-Peng Lim Oct 2016

Tracking Virality And Susceptibility In Social Media, Tuan Anh Hoang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

In social media, the magnitude of information propagation hinges on the virality and susceptibility of users spreading and receiving the information respectively, as well as the virality of information items. These users' and items' behavioral factors evolve dynamically at the same time interacting with one another. Previous works however measure the factors statically and independently in a restricted case: each user has only a single adoption on each item, and/or users' exposure to items are observable. In this work, we investigate the inter-relationship among the factors and users' multiple adoptions on items to propose both new static and temporal models …

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Special Issue On Cyberharassment Investigation: Advances And Trends, Joanne Bryce, Virginia N. L. Franqueira, Andrew Marrington Sep 2016

Special Issue On Cyberharassment Investigation: Advances And Trends, Joanne Bryce, Virginia N. L. Franqueira, Andrew Marrington

Journal of Digital Forensics, Security and Law

Empirical and anecdotal evidence indicates that cyberharassment is more prevalent as the use of social media becomes increasingly widespread, making geography and physical proximity irrelevant. Cyberharassment can take different forms (e.g., cyberbullying, cyberstalking, cybertrolling), and be motivated by the objectives of inflicting distress, exercising control, impersonation, and defamation. Little is currently known about the modus operandi of offenders and their psychological characteristics. Investigation of these behaviours is particularly challenging because it involves digital evidence distributed across the devices of both alleged offenders and victims, as well as online service providers, sometimes over an extended period of time. This special issue …

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The Impact Of Low Self-Control On Online Harassment: Interaction With Opportunity., Hyunin Baek, Michael M. Losavio, George E. Higgins Sep 2016

The Impact Of Low Self-Control On Online Harassment: Interaction With Opportunity., Hyunin Baek, Michael M. Losavio, George E. Higgins

Journal of Digital Forensics, Security and Law

Developing Internet technology has increased the rates of youth online harassment. This study examines online harassment from adolescents with low self-control and the moderating effect of opportunity. The data used in this study were collected by the Korea Institute of Criminology in 2009. The total sample size was 1,091. The results indicated that low self-control, opportunity, and gender have a significant influence on online harassment. However, these results differed according to gender; for males, low self-control significantly impacted online harassment; for females, however, only low self-control significantly impacted online harassment. Furthermore, the interaction between low self-control and opportunity did not …

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Table Of Contents Sep 2016

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

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A Legal Examination Of Revenge Pornography And Cyber-Harassment, Thomas Lonardo, Tricia Martland, Doug White Sep 2016

A Legal Examination Of Revenge Pornography And Cyber-Harassment, Thomas Lonardo, Tricia Martland, Doug White

Journal of Digital Forensics, Security and Law

This paper examines the current state of the statutes in the United States as they relate to cyber-harassment in the context of "revenge porn". Revenge porn refers to websites which cater to those wishing to exploit, harass, or otherwise antagonize their ex partners using pornographic images and videos which were obtained during their relationships. The paper provide examples and illustrations as well as a summary of current statute in the United States. The paper additionally explores some of the various legal remedies available to victims of revenge pornography.

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Differentiating Cyberbullies And Internet Trolls By Personality Characteristics And Self-Esteem, Lauren A. Zezulka, Kathryn C. Seigfried-Spellar Sep 2016

Differentiating Cyberbullies And Internet Trolls By Personality Characteristics And Self-Esteem, Lauren A. Zezulka, Kathryn C. Seigfried-Spellar

Journal of Digital Forensics, Security and Law

Cyberbullying and internet trolling are both forms of online aggression or cyberharassment; however, research has yet to assess the prevalence of these behaviors in relationship to one another. In addition, the current study was the first to investigate whether individual differences and self-esteem discerned between self-reported cyberbullies and/or internet trolls (i.e., Never engaged in either, Cyberbully-only, Troll-only, Both Cyberbully and Troll). Of 308 respondents solicited from Mechanical Turk, 70 engaged in cyberbullying behaviors, 20 engaged in only trolling behaviors, 129 self-reported both behaviors, and 89 self-reported neither behavior. Results yielded low self-esteem, low conscientiousness, and low internal moral values for …

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Toward Online Linguistic Surveillance Of Threatening Messages, Brian H. Spitzberg, Jean Mark Gawron Sep 2016

Toward Online Linguistic Surveillance Of Threatening Messages, Brian H. Spitzberg, Jean Mark Gawron

Journal of Digital Forensics, Security and Law

Threats are communicative acts, but it is not always obvious what they communicate or when they communicate imminent credible and serious risk. This paper proposes a research- and theory-based set of over 20 potential linguistic risk indicators that may discriminate credible from non-credible threats within online threat message corpora. Two prongs are proposed: (1) Using expert and layperson ratings to validate subjective scales in relation to annotated known risk messages, and (2) Using the resulting annotated corpora for automated machine learning with computational linguistic analyses to classify non-threats, false threats, and credible threats. Rating scales are proposed, existing threat corpora …

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Managing A Large Scale Project: Using Strengthsfinder In The Website Redesign, Laura Edwards, Cristina Tofan Sep 2016

Managing A Large Scale Project: Using Strengthsfinder In The Website Redesign, Laura Edwards, Cristina Tofan

EKU Faculty and Staff Scholarship

After doing a library-wide StrengthsFinder assessment that highlighted the strengths of its individuals, EKU Libraries decided to put this strategy into practice by applying it to one of the most complex projects in the life of an academic library: the website redesign. This decentralized approach allowed project managers to align strengths-based teams with phases of the redesign that would most benefit from that team’s unique strengths.

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Hackathons For Libraries And Librarians, Robin Camille Davis Sep 2016

Hackathons For Libraries And Librarians, Robin Camille Davis

Publications and Research

Hackathons can be ideal opportunities for libraries and librarians to promote new services and tools. In these social events, attendees form teams and work on a project together within a given time limit. This article explains hackathons, provides a brief history, and details how libraries and librarians can get involved. Similar event structures, like hack days and edit-a-thons, are also considered.

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Open Materials Discourse: Consumer Acceptance Of Personal Cloud: Integrating Trust And Risk With The Technology Acceptance Model, Valerie L. Bartelt, Murad Moqbel Sep 2016

Open Materials Discourse: Consumer Acceptance Of Personal Cloud: Integrating Trust And Risk With The Technology Acceptance Model, Valerie L. Bartelt, Murad Moqbel

Information Systems Faculty Publications

This paper provides the materials used to collect survey data for the conceptual replication of Pavlou (2003) by Moqbel and Bartelt (2015). This replication paper used trust and perceived risk, in addition to the technology acceptance model (TAM) factors of perceived usefulness and perceived ease of use, to determine how consumer’s behavioral intentions affect online transactions (Moqbel & Bartelt, 2015). Two hundred forty participants took part in the 15-minute survey, with the option of choosing either online or paper format. This paper provides additional materials and details on how the survey was conducted. Step-by-step explanations are provided for the design, …

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Is Only One Gps Point Position Sufficient To Locate You To The Road Network Accurately?, Hao Wu, Weiwei Sun, Baihua Zheng Sep 2016

Is Only One Gps Point Position Sufficient To Locate You To The Road Network Accurately?, Hao Wu, Weiwei Sun, Baihua Zheng

Research Collection School Of Computing and Information Systems

Locating only one GPS position to a road segment accurately is crucial to many location-based services such as mobile taxi-hailing service, geo-tagging, POI check-in, etc. This problem is challenging because of errors including the GPS errors and the digital map errors (misalignment and the same representation of bidirectional roads) and a lack of context information. To the best of our knowledge, no existing work studies this problem directly and the work to reduce GPS signal errors by considering hardware aspect is the most relevant. Consequently, this work is the first attempt to solve the problem of locating one GPS position …

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Detecting Community Pacemakers Of Burst Topic In Twitter, Guozhong Dong, Wu Yang, Feida Zhu, Wei Wang Sep 2016

Detecting Community Pacemakers Of Burst Topic In Twitter, Guozhong Dong, Wu Yang, Feida Zhu, Wei Wang

Research Collection School Of Computing and Information Systems

Twitter has become one of largest social networks for users to broad-cast burst topics. Influential users usually have a large number of followers and play an important role in the diffusion of burst topic. There have been many studies on how to detect influential users. However, traditional influential users detection approaches have largely ignored influential users in user community. In this paper, we investigate the problem of detecting community pacemakers. Community pacemakers are defined as the influential users that promote early diffusion in the user community of burst topic. To solve this problem, we present DCPBT, a framework that can …

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Microblogging Content Propagation Modeling Using Topic-Specific Behavioral Factors, Tuan Anh Hoang, Ee-Peng Lim Sep 2016

Microblogging Content Propagation Modeling Using Topic-Specific Behavioral Factors, Tuan Anh Hoang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

When a microblogging user adopts some content propagated to her, we can attribute that to three behavioral factors, namely, topic virality, user virality, and user susceptibility. Topic virality measures the degree to which a topic attracts propagations by users. User virality and susceptibility refer to the ability of a user to propagate content to other users, and the propensity of a user adopting content propagated to her, respectively. In this paper, we study the problem of mining these behavioral factors specific to topics from microblogging content propagation data. We first construct a three dimensional tensor for representing the propagation instances. …

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Is Only One Gps Position Sufficient To Locate You To The Road Network Accurately?, Hao Wu, Weiwei Sun, Baihua Zheng Sep 2016

Is Only One Gps Position Sufficient To Locate You To The Road Network Accurately?, Hao Wu, Weiwei Sun, Baihua Zheng

Research Collection School Of Computing and Information Systems

Locating only one GPS position to a road segment accurately is crucial to many location-based services such as mobile taxihailing service, geo-tagging, POI check-in, etc. This problem is challenging because of errors including the GPS errors and the digital map errors (misalignment and the same representation of bidirectional roads) and a lack of context information. To the best of our knowledge, no existing work studies this problem directly and the work to reduce GPS signal errors by considering hardware aspect is the most relevant. Consequently, this work is the first attempt to solve the problem of locating one GPS position …

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When A Friend Online Is More Than A Friend In Life: Intimate Relationship Prediction In Microblogs, Yunshi Lan, Mengqi Zhang, Feida Zhu, Jing Jiang, Ee-Peng Lim Sep 2016

When A Friend Online Is More Than A Friend In Life: Intimate Relationship Prediction In Microblogs, Yunshi Lan, Mengqi Zhang, Feida Zhu, Jing Jiang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Microblogging services such as Twitter and Sina Weibo have been an important, if not indespensible, platform for people around the world to connect to one another. The rich content and user interactions on these platforms reveal insightful information about each user that are valuable for various real-life applications. In particular, user offline relationships, especially those intimate ones such as family members and couples, offer distinctive value for many business and social settings. In this study, we focus on using Sina Weibo to discover intimate offline relationships among users. The problem is uniquely interesting and challenging due to the difficulty in …

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Efficient Community Maintenance For Dynamic Social Networks, Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang Sep 2016

Efficient Community Maintenance For Dynamic Social Networks, Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang

Research Collection School Of Computing and Information Systems

Community detection plays an important role in a wide range of research topics for social networks including personalized recommendation services and information dissemination. The highly dynamic nature of social platforms, and accordingly the constant updates to the underlying network, all present a serious challenge for efficient maintenance of the identified communities. How to avoid computing from scratch the whole community detection result in face of every update, which constitutes small changes more often than not. To solve this problem, we propose a novel and efficient algorithm to maintain the communities in dynamic social networks by identifying and updating only those …

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Improving Carbon Efficiency Through Container Size Optimization And Shipment Consolidation, Nang Laik Ma, Kar Way Tan, Edwin Lik Ming Chong Sep 2016

Improving Carbon Efficiency Through Container Size Optimization And Shipment Consolidation, Nang Laik Ma, Kar Way Tan, Edwin Lik Ming Chong

Research Collection School Of Computing and Information Systems

Purpose: Many manufacturing companies that ship goods through full container loads found themselves under-utilizing the containers and resulting in higher carbon footprint per volume shipment. One of the reasons is the choice of non-ideal container sizes for their shipments. Consolidation fills up the containers more efficiently that reduces the overall carbon footprint. The objective of this paper is to support decisions on selection of appropriate combination of container sizes and shipment consolidation for a manufacturing company. We develop two-steps model which first takes the volumes to be shipped as an input and provide the combination of container sizes required; then …

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