Computer Engineering Commons^™

Extraction Of Electronic Evidence From Voip: Identification & Analysis Of Digital Speech, David Irwin, Arek Dadej, Jill Slay

Journal of Digital Forensics, Security and Law

The Voice over Internet Protocol (VoIP) is increasing in popularity as a cost effective and efficient means of making telephone calls via the Internet. However, VoIP may also be an attractive method of communication to criminals as their true identity may be hidden and voice and video communications are encrypted as they are deployed across the Internet. This produces a new set of challenges for forensic analysts compared with traditional wire-tapping of the Public Switched Telephone Network (PSTN) infrastructure, which is not applicable to VoIP. Therefore, other methods of recovering electronic evidence from VoIP are required. This research investigates the …

Book Review: Dispute Resolution And E-Discovery, Milton Luoma

Journal of Digital Forensics, Security and Law

As is apparent from its title, this book tackles two very current and difficult legal issues – electronic discovery and dispute resolution. The authors tie the two legal concepts together in an effort to provide litigants and practitioners a less expensive and less time consuming alternative than is typically the case with traditional litigation and court proceedings. By including electronic discovery in the discussions, the authors recognize the importance and significance of electronic discovery in mediation and arbitration as it is in traditional litigation.

On The Development Of A Digital Forensics Curriculum, Manghui Tu, Dianxiang Xu, Samsuddin Wira, Cristian Balan, Kyle Cronin

Journal of Digital Forensics, Security and Law

Computer Crime and computer related incidents continue their prevalence and frequency, resulting in losses approaching billions of dollars. To fight against these crimes and frauds, it is urgent to develop digital forensics education programs to train a suitable workforce that can effectively investigate computer crimes and incidents. There is presently no standard to guide the design of digital forensics curriculum for an academic program. In this research, previous work on digital forensics curriculum design and existing education programs are thoroughly investigated. Both digital forensics educators and practitioners were surveyed and results were analyzed to determine the industry and law enforcement …

The Science Of Digital Forensics: Recovery Of Data From Overwritten Areas Of Magnetic Media, Fred Cohen

Journal of Digital Forensics, Security and Law

The first time I encountered data loss and recovery effects of magnetic memory was as a night and weekend computer operator for the computer science department of Carnegie-Mellon University in the 1973-1974 time frame. Part of my job involved dealing directly with outages and failures associated with magnetic memory components used in what, at the time, were large computer systems. On occasions, portions of magnetic core memory or disk drives would encounter various failure modes and the systems using these devices would have to be reconfigured to operate without the failed components until repair personnel could come in to repair …

Automatic Crash Recovery: Internet Explorer's Black Box, John Moran, Douglas Orr

Journal of Digital Forensics, Security and Law

A good portion of today's investigations include, at least in part, an examination of the user's web history. Although it has lost ground over the past several years, Microsoft's Internet Explorer still accounts for a large portion of the web browser market share. Most users are now aware that Internet Explorer will save browsing history, user names, passwords and form history. Consequently some users seek to eliminate these artifacts, leaving behind less evidence for examiners to discover during investigations. However, most users, and probably a good portion of examiners are unaware Automatic Crash Recovery can leave a gold mine of …

Book Review: The Software Ip Detective's Handbook: Measurement, Comparison, And Infringement Detections, Diane Barrett

Journal of Digital Forensics, Security and Law

Do not the book title fool you into thinking that the book is only for those looking to detect software infringement detection. It is a comprehensive look at software intellectual property. The book covers a wide range of topics and has something to offer for just about everyone from lawyers to programmers.

“Preemptive Suppression” – Judges Claim The Right To Find Digital Evidence Inadmissible Before It Is Even Discovered, Bob Simpson

Journal of Digital Forensics, Security and Law

Vermont state prosecutors have asked the Vermont Supreme Court to end a state trial judge’s practice of attaching conditions to computer warrants. The Vermont judge’s conditions are drawn from five conditions established in the 2009 decision of the 9th Circuit Court of Appeals in the Comprehensive Drug Testing, Inc. case (CDT II). This is the first time the validity of the “CDT conditions” will be decided by a state court of final jurisdiction in the United States

Modeling And Control Of Discrete Event Systems Using Finite State Machines With Variables And Their Applications In Power Grids, Junhui Zhao, Le Yi Wang, Zhong Chen, Feng Lin, Hongwei Zhang

Electrical & Computer Engineering and Computer Science Faculty Publications

Control theories for discrete event systems modeled as finite state machines have been well developed to address various fundamental control issues. However, finite state machine model has long suffered from the problem of state explosion that renders it unsuitable for some practical applications. In an attempt to mitigate the state explosion problem, we propose an efficient representation that appends finite sets of variables to finite state machines in modeling discrete event systems. We also present the control synthesis techniques for such finite state machines with variables (FSMwV). We first present our notion and means of control under this representation. We …

Characterizing Metal-Insulator-Transition (Mit) Phase Change Materials (Pcm) For Rf And Dc Micro-Switching Elements, Brent L. Danner, Ronald A. Coutu Jr.

Electrical and Computer Engineering Faculty Research and Publications

Metal-insulator transition (MIT) phase-change materials (PCM) are material compounds that have the ability to be either conductors or insulators depending on external stimuli. A micromachined test structure for applying external electric fields across MIT wire segments was designed and fabricated. Using this novel test structure, Germanium Telluride (GeTe) and Vanadium Oxide (VOx) were successfully transitioned from a conductor to an insulator. The resistivity of the GeTe wire segments increased three to five orders of magnitude with ∼40 V applied to the parallel plates of the test structure. The VOx wires exhibited an order of magnitude transition in resistivity with ∼20 …

Continuous Time-Varying Biasing Approach For Spectrally Tunable Infrared Detectors, Woo-Yong Jang, Majeed M. Hayat, Payman Zarkesh-Ha, Sanjay Krishna

Electrical and Computer Engineering Faculty Research and Publications

In a recently demonstrated algorithmic spectral-tuning technique by Jang et al. [Opt. Express 19, 19454-19472, (2011)], the reconstruction of an object’s emissivity at an arbitrarily specified spectral window of interest in the long-wave infrared region was achieved. The technique relied upon forming a weighted superposition of a series of photocurrents from a quantum dots-in-a-well (DWELL) photodetector operated at discrete static biases that were applied serially. Here, the technique is generalized such that a continuously varying biasing voltage is employed over an extended acquisition time, in place using a series of fixed biases over each sub-acquisition time, which totally …

A New Ensemble Learning Method For Temporal Pattern Identification, Wenjing Zhang, Xin Feng

Electrical and Computer Engineering Faculty Research and Publications

In this paper we present a method for identification of temporal patterns predictive of significant events in a dynamic data system. A new hybrid model using Reconstructed Phase Space (MRPS) and Hidden Markov Model (HMM) is applied to identify temporal patterns. This method constructs phase space embedding by using individual embedding of each variable sequences. We also employ Hidden Markov Models (HMM) to the multivariate sequence data to categorize multi-dimensional data into three states, e.g. normal, patterns and events. A support vector machine optimization method is used to search an optimal classifier to identify temporal patterns that are predictive of …

New Perspective On Passively Quenched Single Photon Avalanche Diodes: Effect Of Feedback On Impact Ionization, David A. Ramirez, Majeed M. Hayat, Graham J. Rees, Xudong Jiang, Mark A. Itzler

Electrical and Computer Engineering Faculty Research and Publications

Single-photon avalanche diodes (SPADs) are primary devices in photon counting systems used in quantum cryptography, time resolved spectroscopy and photon counting optical communication. SPADs convert each photo-generated electron hole pair to a measurable current via an avalanche of impact ionizations. In this paper, a stochastically self-regulating avalanche model for passively quenched SPADs is presented. The model predicts, in qualitative agreement with experiments, three important phenomena that traditional models are unable to predict. These are: (1) an oscillatory behavior of the persistent avalanche current; (2) an exponential (memoryless) decay of the probability density function of the stochastic quenching time of the …

A Memory Access Model For Highly-Threaded Many-Core Architectures, Lin Ma, Kunal Agrawal, Roger D. Chamberlain

All Computer Science and Engineering Research

Many-core architectures are excellent in hiding memory-access latency by low-overhead context switching among a large number of threads. The speedup of algorithms carried out on these machines depends on how well the latency is hidden. If the number of threads were infinite, then theoretically these machines should provide the performance predicted by the PRAM analysis of the programs. However, the number of allowable threads per processor is not infinite. In this paper, we introduce the Threaded Many-core Memory (TMM) model which is meant to capture the important characteristics of these highly-threaded, many-core machines. Since we model some important machine parameters …

Foveon F13 Camera, David Shelley

All Computer Science and Engineering Research

Most high-fidelity digital cameras currently available obtain their images using technology where individual pixels can only acquire a single color. Since the acquisition of multiple colors is necessary to capture a full colored image, picture resolution is lost due to difficulties in interpolation between non-adjacent, same color pixels. The resulting unsharp images create the need to find a new way to obtain these images without requiring interpolation between adjacent pixels. An innovative method to capture images with individual pixel cells consisting of three layers of photodetectors stacked vertically upon one another has been created to rectify this problem, but no …

Advanced Neural Networks And Their Applications In Smart Grids, Bipul Luitel

Doctoral Dissertations

"Today, neural networks (NN) are used in several system identification and nonlinear control system applications. However, their implementation on large systems has been limited either because of their degraded performance or the amount of time and computation required for implementing them being impractical for real applications. The primary emphasis of this research is on the development of advanced NN - simultaneous recurrent neural networks (SRN) and cellular neural networks (CNN); and methods for learning the complexity of large systems.

US electricity infrastructure is one of the largest and the most critical infrastructure consisting of thousands of generators connected by transmission …

Early Warning System: Relay Sensor Deployment & Network Reliability Analysis, Zhicheng Yang

All Computer Science and Engineering Research

In this project, we continued Dr. Chipara's study, which developed an early warning system (EWS) to detect the vital signs of patients in order to help doctors to intervene in time [1]. Since the number of wards increased, the environment our system faced with became more complicated and our network became more sensitive. This project focused on finding reasons on the relays that didn't work and doing a reliability analysis on the network in one ward our study covered.

Strategies For The Intelligent Selection Of Components, Valerie Maxville

Theses: Doctorates and Masters

It is becoming common to build applications as component-intensive systems - a mixture of fresh code and existing components. For application developers the selection of components to incorporate is key to overall system quality - so they want the `best'. For each selection task, the application developer will de ne requirements for the ideal component and use them to select the most suitable one. While many software selection processes exist there is a lack of repeatable, usable, exible, automated processes with tool support. This investigation has focussed on nding and implementing strategies to enhance the selection of software components. The …

Self‐Regulating Action Exploration In Reinforcement Learning, Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan

Research Collection School Of Computing and Information Systems

The basic tenet of a learning process is for an agent to learn for only as much and as long as it is necessary. With reinforcement learning, the learning process is divided between exploration and exploitation. Given the complexity of the problem domain and the randomness of the learning process, the exact duration of the reinforcement learning process can never be known with certainty. Using an inaccurate number of training iterations leads either to the non-convergence or the over-training of the learning agent. This work addresses such issues by proposing a technique to self-regulate the exploration rate and training duration …

Enhancing Spectrum Utilization In Dynamic Cognitive Radio Systems, Dusadee Treeumnuk

Electrical & Computer Engineering Theses & Dissertations

Cognitive radio (CR) is regarded as a viable solution to enabling flexible use of the frequency spectrum in future generations of wireless systems by allowing unlicensed secondary users (SU) to access licensed spectrum under the specific condition that no harmful interference be caused to the licensed primary users (PU) of the spectrum. In practical scenarios, the knowledge of PU activity is unknown to CRs and radio environments are mostly imperfect due to various issues such as noise uncertainty and multipath fadings. Therefore, important functionalities of CR systems are to efficiently detect availability of radio spectrum as well as to avoid …

Computational Modeling For Transportation Network Security, Sherif A. Tolba

Master's Theses

No abstract provided.

Data Exploration Interface For Digital Forensics, Varun Dontula

LSU New Orleans Theses and Dissertations

The fast capacity growth of cheap storage devices presents an ever-growing problem of scale for digital forensic investigations. One aspect of scale problem in the forensic process is the need for new approaches to visually presenting and analyzing large amounts of data. Current generation of tools universally employ three basic GUI components—trees, tables, and viewers—to present all relevant information. This approach is not scalable as increasing the size of the input data leads to a proportional increase in the amount of data presented to the analyst.

We present an alternative approach, which leverages data visualization techniques to provide a more …

Reducing Data Loss And Saving Money By Acquiring Data Loss Prevention Software, Patarika Tipwong

Technical Reports

Choosing and implementing the right security software tools can protect a company’s assets. In particular, data breaches might not happen if a company is aware of its information flow and has the proper tool to protect it. This thesis paper will explain why and how acquiring data loss prevention (DLP) software will help a company to reduce data loss, mitigate the loss impact and save money. Facts and examples are provided to support and illustrate the statement above.

Detection Of Diffuse Sea Floor Venting Using Structured Light Imaging, Gabrielle Inglis, Clara Smart, Christopher Roman, Steven Carey

Graduate School of Oceanography Faculty Publications

Efficiently identifying and localizing diffuse sea floor venting at hydrothermal and cold seep sites is often difficult. Actively venting fluids are usually identified by a temperature induced optical shimmering seen during direct visual inspections or in video data collected by vehicles working close to the sea floor. Relying on such direct methods complicates establishing spatial relations between areas within a survey covering a broad area. Our recent work with a structured light laser system has shown that venting can also be detected in the image data in an automated fashion. A structured light laser system consists of a camera and …

Remote Analysis Of Grain Size Characteristic In Submarine Pyroclastic Deposits From Kolumbo Volcano, Greece, Clara Smart, D. P. Whitesell, Christopher N. Roman, Steven Carey

Graduate School of Oceanography Faculty Publications

Grain size characteristics of pyroclastic deposits provide valuable information about source eruption energetics and depositional processes. Maximum size and sorting are often used to discriminate between fallout and sediment gravity flow processes during explosive eruptions. In the submarine environment the collection of such data in thick pyroclastic sequences is extremely challenging and potentially time consuming. A method has been developed to extract grain size information from stereo images collected by a remotely operated vehicle (ROV). In the summer of 2010 the ROV Hercules collected a suite of stereo images from a thick pumice sequence in the caldera walls of Kolumbo …

A Study Of Correlations Between The Definition And Application Of The Gene Ontology, Yuji Mo

Department of Computer Electronics and Engineering: Dissertations, Theses, and Student Research

When using the Gene Ontology (GO), nucleotide and amino acid sequences are annotated by terms in a structured and controlled vocabulary organized into relational graphs. The usage of the vocabulary (GO terms) in the annotation of these sequences may diverge from the relations defined in the ontology. We measure the consistency of the use of GO terms by comparing GO's defined structure to the terms' application. To do this, we first use synthetic data with different characteristics to understand how these characteristics influence the correlation values determined by various similarity measures. Using these results as a baseline, we found that …

State-Based Techniques For Designing, Verifying And Debugging Message Passing Systems, Rajaa Khaled Alqudah

Electrical Engineering and Computer Science - Dissertations

Message passing systems support the applications of concurrent events, where independent or semi-independent events occur simultaneously in a nondeterministic fashion. The nature of independence, random interactions and concurrency made the code development of such applications complicated and error-prone. Conventional code development environments or IDEs, such as Microsoft Visual Studio, provide little programming support in this regard. Furthermore, ensuring the correctness of a message passing system is a challenge. Typically, it is important to guarantee that a system meets its desired specifications along its construction process. Model checking is one of the techniques used in software verification which has proven to …

Efficient Approximation For Security Games With Interval Uncertainty, Chris Kiekintveld, Vladik Kreinovich

Departmental Technical Reports (CS)

There are an increasing number of applications of security games. One of the key challenges for this field going forward is to address the problem of model uncertainty and the robustness of the game-theoretic solutions. Most existing methods for dealing with payoff uncertainty are Bayesian methods which are NP-hard and have difficulty scaling to very large problems. In this work we consider an alternative approach based on interval uncertainty. For a variant of security games with interval uncertainty we introduce a polynomial-time approximation algorithm that can compute very accurate solutions within a given error bound.

Assessment Of Functional Impairment In Human Locomotion: A Fuzzy-Motivated Approach, Murad Alaqtash, Thompson Sarkodie-Gyan, Vladik Kreinovich

Departmental Technical Reports (CS)

Many neurological disorders result in disordered motion. The effects of a disorder can be decrease by an appropriate rehabilitation. To make rehabilitation efficient, we need to monitor the patient and check how well he or she improves. In our previous papers, we proposed a fuzzy-based semi-heuristic method of gauging how well a patient improved. Surprisingly, this semi-heuristic method turned out to be more efficient that we expected. In this paper, we provide a justification for this efficiency.

In the future, it is desirable to combine this fuzzy-assessment approach with results by Alavarez-Alvarez, Trivino, and Cordon who use fuzzy techniques …

Constraint Optimization: From Efficient Computation Of What Can Be Achieved To Efficient Computation Of A Way To Achieve The Corresponding Optimum, Ali Jalal-Kamali, Martine Ceberio, Vladik Kreinovich

Departmental Technical Reports (CS)

In many practically useful cases, we know how to efficiently compute the exact range of a function over given intervals (and, possibly, under additional constraints). In other words, we know how to efficiently compute the minimum and maximum of a given function f(x₁, ..., x_n) on any box. From the practical viewpoint, it is important not only to find the value of the corresponding maximum or minimum, but also to know for what values of the parameters x_i this optimum is attained. We prove a general result: that if we can efficiently compute the optimum, …

Why Bernstein Polynomials Are Better: Fuzzy-Inspired Justification, Jaime Nava, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

It is well known that an arbitrary continuous function on a bounded set -- e.g., on an interval [a,b] -- can be, with any given accuracy, approximated by a polynomial. Usually, polynomials are described as linear combinations of monomials. It turns out that in many computational problems, it is more efficient to represent a polynomial as Bernstein polynomials -- e.g., for functions of one variable, a linear combination of terms (x-a)^k * (b-x)^n-k. In this paper, we provide a simple fuzzy-based explanation of why Bernstein polynomials are often more efficient, and we show how this informal explanation …