Computer Engineering Commons^™

Synthetic Corpora: A Synergy Of Linguistics And Computer Animation, Jerry C. Schnepp, Rosalee Wolfe, John Mcdonald

Visual Communications and Technology Education Faculty Publications

Synthetic corpora enable the creation of computer-generated animations depicting sign language and are the complement of corpora containing videotaped exemplars. Any design for a synthetic corpus needs to accommodate linguistic processes as well as support the generation of believable, acceptable synthesized utterances. This paper explores one possibility for representing linguistic and extralinguistic processes that involve the face and reports on the outcomes of a user test evaluating the clarity of utterances synthesized by this approach.

The Defiance College Undergraduate Major In Digital Forensic Science: Setting The Bar Higher, Gregg H. Gunsch

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper provides background information to accompany the panel discussion on Curriculum Design and Implementation in Computer Forensics Education. It is specifically focused on the content and delivery of Defiance College’s undergraduate (B.S.) program majoring in Digital Forensic Science (DFS). The genesis and evolution of the Defiance College DFS program are described, along with its successes, challenges and known opportunities for improvement. The desired outcomes of the panel discussion include articulating the necessary components of an undergraduate program, refining expectations of knowledge and skills required of students upon graduation, and suggesting strategies for achieving those expectations despite inevitable resource limitations …

Computer Forensics For Graduate Accountants: A Motivational Curriculum Design Approach, Grover S. Kearns

Annual ADFSL Conference on Digital Forensics, Security and Law

Computer forensics involves the investigation of digital sources to acquire evidence that can be used in a court of law. It can also be used to identify and respond to threats to hosts and systems. Accountants use computer forensics to investigate computer crime or misuse, theft of trade secrets, theft of or destruction of intellectual property, and fraud. Education of accountants to use forensic tools is a goal of the AICPA (American Institute of Certified Public Accountants). Accounting students, however, may not view information technology as vital to their career paths and need motivation to acquire forensic knowledge and skills. …

Digital Records Forensics: A New Science And Academic Program For Forensic Readiness, Luciana Duranti, Barbara Endicott-Popovsky

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper introduces the Digital Records Forensics project, a research endeavour located at the University of British Columbia in Canada and aimed at the development of a new science resulting from the integration of digital forensics with diplomatics, archival science, information science and the law of evidence, and of an interdisciplinary graduate degree program, called Digital Records Forensics Studies, directed to professionals working for law enforcement agencies, legal firms, courts, and all kind of institutions and business that require their services. The program anticipates the need for organizations to become “forensically ready,” defined by John Tan as “maximizing the ability …

A Layered Framework Approach To Mitigate Crimeware, Mathew Nyamagwa

Annual ADFSL Conference on Digital Forensics, Security and Law

Crimeware attacks are growing at such an alarming rate and are becoming so prevalent that the FBI now rank cybercrime among its top priorities after terrorism and espionage. New studies estimate cyber crimes cost firms an astounding $1 trillion annually. But the good news? Over 80% of them are preventable. Crimeware is not a purely technical threat but more or a socio-technical affair. This clearly brings out the fact that computers do not commit a crime, but we (humans) do! In this paper I propose a layered approach that involves all stakeholders from end-users to service-providers and law enforcement to …

Canvass - A Steganalysis Forensic Tool For Jpeg Images, Jennifer L. Davidson, Jaikishan Jalan

Annual ADFSL Conference on Digital Forensics, Security and Law

Steganography is a way to communicate a message such that no one except the sender and recipient suspects the existence of the message. This type of covert communication lends itself to a variety of different purposes such as spy-to-spy communication, exchange of pornographic material hidden in innocuous image files, and other illicit acts. Computer forensic personnel have an interest in testing for possible steganographic files, but often do not have access to the technical and financial resources required to perform steganalysis in an effective manner. This paper describes the results of a funded effort by a grant from the National …

Measuring Whitespace Patterns As An Indication Of Plagiarism, Ilana Shay, Nikolaus Baer, Robert Zeidman

Annual ADFSL Conference on Digital Forensics, Security and Law

There are several different methods of comparing source code from different programs to find copying1 . Perhaps the most common method is comparing source code statements, comments, strings, identifiers, and instruction sequences. However, there are anecdotes about the use of whitespace patterns in code. These virtually invisible patterns of spaces and tabs have been used in litigation to imply copying, but no formal study has been performed that shows that these patterns can actually identify copied code. This paper presents a detailed study of whitespace patterns and the uniqueness of these patterns in different programs.

Keywords: Copyright Infringement, Intellectual Property, …

Electronic Discovery: A Fool’S Errand Where Angels Fear To Tread?, Milton Luoma, Vicki Luoma

Annual ADFSL Conference on Digital Forensics, Security and Law

Electronic discovery has transformed the discovery phase of civil litigation in recent years. The expectations of lawyers and parties were initially established in the Rowe and Zubulake cases that led to a complete revision of the electronic discovery rules contained in the Federal Rules of Civil Procedure. Subsequent cases have underscored the importance of document search methodologies and implications for attorneys, IT professionals, and digital forensics professionals. The authors review how electronic discovery has evolved thus far and offer recommendations regarding the electronic discovery process.

Keywords: Electronic discovery, e-discovery, keyword search, concept search,

Social Networking: A Boon To Criminals, Tejashree D. Datar, Richard Mislan

Annual ADFSL Conference on Digital Forensics, Security and Law

With the world getting more and more digitized, social networking has also found a place in the cyber world. These social networking sites (SNSs) which enable people to socialize, and build and maintain relationships are attracting attention of all kinds of people such as teens, adults, sports persons, and even businesses. But these SNSs are also getting unwanted attention from people like sexual predators, spammers, and people involved in criminal and illegal activities. This paper talks about SNSs and how these sites are exploited for criminal or illegal activity. The SNSs are discussed in detail with respect to user profiles, …

Hard Disk Storage: Firmware Manipulation And Forensic Impact And Current Best Practice, Gareth Davies, Iain Sutherland

Annual ADFSL Conference on Digital Forensics, Security and Law

The most common form of storage media utilized in both commercial and domestic systems is the hard disk drive, consequently these devices feature heavily in digital investigations. Hard disk drives are a collection of complex components. These components include hardware and firmware elements that are essential for the effective operation of the drive. There are now a number of devices available, intended for data recovery, which can be used to manipulate the firmware components contained within the drive. It has been previously shown that it is possible to alter firmware for malicious purposes, either to conceal information or to prevent …

Organizational Handling Of Digital Evidence, Sheona A. Hoolachan, William B. Glisson

Annual ADFSL Conference on Digital Forensics, Security and Law

There are a number of factors that impact a digital forensics investigation. These factors include: the digital media in question, implemented processes and methodologies, the legal aspects, and the individuals involved in the investigation. This paper presents the initial idea that Digital Forensic Practice (DFP) recommendations can potentially improve how organizations handle digital evidence. The recommendations are derived from an in-depth survey conducted with practitioners in both commercial organizations and law enforcement along with supporting literature. The recommendations presented in this paper can be used to assess an organization’s existing digital forensics practices and a guide to Digital Forensics Improvement …

A Framework To Integrate The Data Of Interview Investigation And Digital Evidence, Fahad Alshathry

Annual ADFSL Conference on Digital Forensics, Security and Law

The physical interview process in crime investigation produces an extremely large amount of data, particularly in big cases. In comparison, examiners of digital evidence have enormous amounts of data to search through whilst looking for data relating to the investigation. However, the links between their results are limited. Whilst investigators need to refute or support their hypothesis throughout, digital evidence examiners often use search based keywords. These keywords are usually created from evidence taken from the physical investigation reports and this basic method has been found to have many shortcomings and limitations. This paper proposes a highly automatic framework to …

Developing Voip Honeypots: A Preliminary Investigation Into Malfeasant Activity, Craig Valli

Annual ADFSL Conference on Digital Forensics, Security and Law

30 years ago PABX systems were compromised by hackers wanting to make long distance calls at some other entities expense. This activity faded as telephony became cheaper and PABX systems had countermeasures installed to overcome attacks. Now the world has moved onto the provision of telephony via broadband enabled Voice over Internet Protocol (VoIP) with this service now being provided as a replacement for conventional fixed wire telephony by major telecommunication providers worldwide. Due to increasing bandwidth it is possible for systems to support multiple voice connections simultaneously. The networked nature of the Internet allows for attackers of these VoIP …

Higate (High Grade Anti‐Tamper Equipment) Prototype And Application To E‐Discovery, Yui Sakurai, Yuki Ashino, Tetsutaro Uehara, Hiroshi Yoshiura, Ryoichi Sasaki

Annual ADFSL Conference on Digital Forensics, Security and Law

These days, most data is digitized and processed in various ways by computers. In the past, computer owners were free to process data as desired and to observe the inputted data as well as the interim results. However, the unrestricted processing of data and accessing of interim results even by computer users is associated with an increasing number of adverse events. These adverse events often occur when sensitive data such as personal or confidential business information must be handled by two or more parties, such as in the case of e-Discovery, used in legal proceedings, or epidemiologic studies. To solve …

Assembly Of Ordered Carbon Shells On Semconducting Nanomaterals, Eli Anguelova Sutter, Peter Werner Sutter

Department of Electrical and Computer Engineering: Faculty Publications

In some embodiments of the invention, encapsulated semiconducting nanomaterials are described. In certain embodiments the nanostructures described are semiconducting nanomaterials encapsulated with ordered carbon shells. In some aspects a method for producing encapsulated semiconducting nanomaterials is disclosed. In some embodiments applications of encapsulated semiconducting nanomaterials are described.

Developing A Baccalaureate Digital Forensics Major, John H. Riley

Annual ADFSL Conference on Digital Forensics, Security and Law

As colleges and universities consider instituting a bachelor’s degree in digital forensics or computer forensics, there are numerous questions to be addressed. While some of these normally occur in the development of any new major, there are aspects of digital forensics which do not often (if ever) occur in other majors. We discuss the issues that should be resolved in the development of a baccalaureate degree program in digital forensics.

Keywords: Digital forensics major. Computer forensics major.

Detection And Filtering Of Landmark Occlusions Using Terrain Spatiograms, Damian M. Lyons

Faculty Publications

A team of robots cooperating to quickly produce a map needs to share landmark information between members so that the local maps can be accurately merged. However, the appearance of landmarks as seen by members of the team can change dramatically due to the phenomenon of occlusion.

We have previously presented an approach to landmark representation using Terrain Spatiograms – an extension to image spatiograms in which the spatial information relates to the scene rather than the image. Because this representation preserves depth structure, it is possible to identify and filter potential occlusions.

We present an approach to identifying and …

A Visual Imagination Approach To Cognitive Robotics, Damian M. Lyons, Sirhan Chaudhry, D. Paul Benjamin

Faculty Publications

No abstract provided.

How To Relate Fuzzy And Owa Estimates, Tanja Magoc, Vladik Kreinovich

Departmental Technical Reports (CS)

In many practical situations, we have several estimates x1, ..., xn of the same quantity x, i.e., estimates for which x1 ~ x, x2 ~ x, ..., and xn ~ x. It is desirable to combine (fuse) these estimates into a single estimate for x. From the fuzzy viewpoint, a natural way to combine these estimates is: (1) to describe, for each x and for each i, the degree mu(xi - x) to which x is close to xi, (2) to use a t-norm ("and"-operation) to combine these degrees into a degree to which x is consistent with all n …

Efficient Algorithms For Heavy-Tail Analysis Under Interval Uncertainty, Vladik Kreinovich, Monchaya Chiangpradit, Wararit Panichkitkosolkul

Departmental Technical Reports (CS)

Most applications of statistics to science and engineering are based on the assumption that the corresponding random variables are normally distributed, i.e., distributed according to Gaussian law in which the probability density function d(x) exponentially decreases with x: d(x) ~ exp(-k * x^2). Normal distributions indeed frequently occur in practice. However, there are also many practical situations, including situations from mathematical finance, in which we encounter heavy-tailed distributions, i.e., distributions in which d(x) decreases as d(x) ~ x^(-a). To properly take this uncertainty into account when making decisions, it is necessary to estimate the parameters of such distributions based on …

Metrization Theorem For Space-Times: From Urysohn's Problem Towards Physically Useful Constructive Mathematics, Vladik Kreinovich

Departmental Technical Reports (CS)

In the early 1920s, Pavel Urysohn proved his famous lemma (sometimes referred to as "first non-trivial result of point set topology"). Among other applications, this lemma was instrumental in proving that under reasonable conditions, every topological space can be metrized.

A few years before that, in 1919, a complex mathematical theory was experimentally proven to be extremely useful in the description of real world phenomena: namely, during a solar eclipse, General Relativity theory -- that uses pseudo-Riemann spaces to describe space-time -- has been (spectacularly) experimentally confirmed. Motivated by this success, Urysohn started working on an extension of his lemma …

Timing Side-Channel Attacks On Ssh, Harikrishnan Bhanu

All Theses

In most secure communication standards today, additional latency is kept to a minimum to preserve the Quality-of-Service. As a result, it is possible to mount side-channel attacks using timing analysis. In this thesis we discuss the viability of these attacks, and demonstrate them by inferring Hidden Markov Models of protocols. These Hidden Markov Models can be used to both detect protocol use and infer information about protocol state. We create experiments that use Markov models to generate traffic and show that we can accurately reconstruct models under many circumstances. We analyze what occurs when timing delays have enough jitter that …

Acceleration Of Spiking Neural Networks On Single-Gpu And Multi-Gpu Systems, Venkittaraman Vivek Pallipuram Krishnamani

All Theses

There has been a strong interest in modeling a mammalian brain in order to study the architectural and functional principles of the brain and offer tools to neuroscientists and medical researchers for related studies. Artificial Neural Networks (ANNs) are compute models that try to simulate the structure and/or the functional behavior of neurons and process information using the connectionist approach to computation. Hence, the ANNs are the viable options for such studies.
Of many classes of ANNs, Spiking Neuron Network models (SNNs) have been employed to simulate mammalian brain, capturing its functionality and inference capabilities. In this class of neuron …

Extending Maximum Entropy Techniques To Entropy Constraints, Gang Xiang, Vladik Kreinovich

Departmental Technical Reports (CS)

In many practical situations, we have only partial information about the probabilities. In some cases, we have {\em crisp} (interval) bounds on the probabilities and/or on the related statistical characteristics. In other situations, we have {\em fuzzy} bounds, i.e., different interval bounds with different degrees of certainty.

In a situation with uncertainty, we do not know the exact value of the desired characteristic. In such situations, it is desirable to find its worst possible value, its best possible value, and its "typical" value -- corresponding to the "most probable" probability distribution. Usually, as such a "typical" distribution, we select the …

Design Of Adaptive Collective Foraging In Swarm Robotic Systems, Hanyi Dai

Dissertations

Inspired by the collective behavior observed in biological colonies, swarm robotics is a new approach to design a distributed control algorithm in order to coordinate a group of simple robots performing a complex group task. With only limited computation and communication ability of individual robots, one of the challenges in designing such multi-robotic systems is to understand the effect of individual robots behavior on the group performance. This thesis dedicates the research to designing a set of local interaction and adaptation rule for individual robots so that optimized collective foraging performance can be achieved at group level.

The research starts …

A Web And Mobile System For Environmental Decision Support, James Carswell, Keith Gardiner, Michela Bertolotto, Andrea Rizzine

Books/Book chapters

Current field data collection methods for many of today’s scientific and other observer/monitor type applications are still entrenched in the “clipboard age”, requiring manual data transcription to a database management system at some (often much) later date, and only allows for visualisation and analysis of recently captured field data “back in the lab”. This chapter is targeted at progressing today’s pen & paper methodology into the spatially enabled mobile computing age of realtime multi-media data input, integration, visualisation, and analysis simultaneously both in the field and the lab. The system described is customized to the specific needs of the Canadian …

Healthcare Professional Roles: The Ontology Model For E-Learning, Lorraine Carmody, Elizabeth Sherry, John Cardiff

Conference Papers

The paper aims to present the MEDeLEARN project, an ontology-driven virtual learning environment for Medical Information System training. The current training environment for healthcare professionals in the use of essential medical information systems in a large urban training hospital is based on conventional instructor-led training sessions. Problems arise due to the demanding nature of the hospital working environment, causing training to be cancelled or curtailed. This mode of training delivery is deemed to be inefficient and ineffective, with the danger of serious errors occurring as a consequence.

The project investigates whether a virtual learning environment can address the competency gap …

The Great Teakon: A 3d Video Game, Chad Cable

Renée Crown University Honors Thesis Projects - All

The Great Teakon is an experimental 3D video game that uses gameplay as a narrative device. Players take charge of Charles Teakon, a rising film star, during the silent film era in the early 1900ʼs. But when Charles breaks his leg on set, heʼs forced into retirement and obscurity. After a 30 year hiatus, he decides to return to the film world and complete his unfinished movie. ! As the protagonist ages, so will the players - not only is this reflected in the physicality of the characters, landscape, and architecture, but the actual mechanics for interacting with the virtual …

Exploring Managed Nand Media Endurance, Mark G. Jurenka

Boise State University Theses and Dissertations

Flash memory can be found in media players, cameras, cell phones and portable storage. These consumer items have universally compatible storage devices. However, what is their longevity and what is the long-term data retention reliability? This thesis will explore and attempt to answer these questions. Predicting accurate endurance ratings and long-term storage reliability is problematic; a storage card in a cell phone will simply wear differently if used for personal computer backup. Advertised longevity ratings can also be ambiguous, specified in a number of years of ‘typical’ and ‘average’ use.

This thesis begins by exploring the operation of flash technology …

Coping With The Curse Of Dimensionality By Combining Linear Programming And Reinforcement Learning, Scott H. Burton

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Reinforcement learning techniques offer a very powerful method of finding solutions in unpredictable problem environments where human supervision is not possible. However, in many real world situations, the state space needed to represent the solutions becomes so large that using these methods becomes infeasible. Often the vast majority of these states are not valuable in finding the optimal solution. This work introduces a novel method of using linear programming to identify and represent the small area of the state space that is most likely to lead to a near-optimal solution, significantly reducing the memory requirements and time needed to arrive …