Computer Engineering Commons^™

Voice And Video Capacity Of A Secure Wireless System, Jason R. Seyba

Theses and Dissertations

Improving the security and availability of secure wireless multimedia systems is the purpose of this thesis. Specifically, this thesis answered research questions about the capacity of wireless multimedia systems and how three variables relate to this capacity. The effects of securing the voice signal, real-time traffic originating foreign to a wireless local area network and use of an audio-only signal compared with a combined signal were all studied. The research questions were answered through a comprehensive literature review in addition to an experiment which had thirty-six subjects using a secure wireless multimedia system which was developed as part of this …

Maximizing Broadcast And Multicast Traffic Load Through Link-Rate Diversity In Wireless Mesh Networks, Chun Tung Chou, Bao Hua Liu, Archan Misra

Research Collection School Of Computing and Information Systems

This paper studies some of the fundamental challenges and opportunities associated with the network-layer broadcast and multicast in a multihop multirate wireless mesh network (WMN). In particular, we focus on exploiting the ability of nodes to perform link-layer broadcasts at different rates (with correspondingly different coverage areas). We first show how, in the broadcast wireless medium, the available capacity at a mesh node for a multicast transmission is not just a function of the aggregate pre-existing traffic load of other interfering nodes, but intricately coupled to the actual (sender, receiver) set and the link-layer rate of each individual transmission. We …

Development And Evaluation Of A Simultaneous Multithreading Processor Simulator, Carla Verena S. Nunez

Theses

Modem processors are designed to achieve greater amounts of instruction level parallelism (ILP) and thread level parallelism (TLP). Simultaneous multithreading (SMT) is an architecture that exploits both LLP and TLP. It improves the utilization of the processor resources by allowing multiple independent threads to reside in the pipeline and dynamically scheduling the available resources among the threads.

The first part of this thesis presents the development of a simultaneous multithreading processor simulator. The SMT simulator is derived from SimpleScalar, a superscalar processor simulator widely used in the computer architecture research field. The basic pipeline is expanded to allow multiple threads …

System For And Method Of Investigating The Exact Same Point On A Sample Substrate With Multiple Wavelengths, Galen L. Pfeiffer, Martin M. Liphardt, Blaine D. Johs, Craig M. Herzinger, Christopher A. Goeden, Ping He, John A. Woollam, James D. Welch

Department of Electrical and Computer Engineering: Faculty Publications

Disclosed are system for and method of analyzing a sample at substantially the exact same small spot point on a sample with a plurality of wavelengths.

System For And Method Of Investigating The Exact Same Point On A Sample Substrate With Multiple Wavelengths, Galen L. Pfeiffer, Martin M. Liphardt, Blaine D. Johs, Craig M. Herzinger, Christopher A. Goeden, Ping He, John A. Woollam, James D. Welch

Department of Electrical and Computer Engineering: Faculty Publications

Disclosed are system for and method of analyzing a sample at Substantially the exact same Small spot point on a sample with a plurality of wavelengths.

Combinatorial Fusion Criteria For Robot Mapping, Damian M. Lyons, D. Frank Hsu, Qiang Ma, Liang Wang

Faculty Publications

We address the problem of sensor fusion for stereo and ultrasound depth measurements for map building for a robot operating in a cluttered environment. In such a situation it’s difficult to make useful and realistic assumpt ions about the sensor or environment statistics. Combinatorial Fusion Analysis is used to develop an approach to fusion with unknown sensor and environment statistics. A metric is proposed that shows when fusion from a set of fusion alternatives will produ ce a more accurate estimation of depth than either sonar or stereo alone and when not. The metric consists of two crit eria: (a) …

Detecting Duplicates In Geoinformatics: From Intervals And Fuzzy Numbers To General Multi-D Uncertainty, Scott A. Starks, Luc Longpre, Roberto Araiza, Vladik Kreinovich, Hung T. Nguyen

Departmental Technical Reports (CS)

Geospatial databases generally consist of measurements related to points (or pixels in the case of raster data), lines, and polygons. In recent years, the size and complexity of these databases have increased significantly and they often contain duplicate records, i.e., two or more close records representing the same measurement result. In this paper, we address the problem of detecting duplicates in a database consisting of point measurements. As a test case, we use a database of measurements of anomalies in the Earth's gravity field that we have compiled.

In our previous papers, we have proposed a new fast (O(n log(n))) …

Towards Optimal Scheduling For Global Computing Under Probabilistic, Interval, And Fuzzy Uncertainty, With Potential Applications To Bioinformatics, Roberto Araiza, Michela Taufer, Ming-Ying Leung

Departmental Technical Reports (CS)

In many practical situations, in particular in many bioinformatics problems, the amount of required computations is so huge that the only way to perform these computations in reasonable time is to distribute them between multiple processors. The more processors we engage, the faster the resulting computations; thus, in addition to processor exclusively dedicated to this job, systems often use idle time on other processors. The use of these otherwise engaged processors adds additional uncertainty to computations.

How should we schedule the computational tasks so as to achieve the best utilization of the computational resources? Because of the presence of uncertainty, …

On Probability Of Making A Given Decision: A Theoretically Justified Transition From Interval To Fuzzy Uncertainty, Van Nam Huynh, Yoshiteru Nakamori, Francois Modave

Departmental Technical Reports (CS)

In practice, it is often necessary to make a decision under uncertainty.

In the case of interval uncertainty, for each alternative i, instead of the exact value vi of the objective function, we only have an interval of possible values. In this case, it is reasonable to assume that each value vi is uniformly distributed on the corresponding interval, and to take the probability that vi is the largest as the probability of selecting the i-th alternative.

In some practical situations, we have fuzzy uncertainty, i.e., for every alternative i, we have a fuzzy number describing the value of the …

Interval Computations As An Important Part Of Granular Computing: An Introduction, Vladik Kreinovich

Departmental Technical Reports (CS)

This chapter provides a general introduction to interval computations, especially to interval computations as an important part of granular computing. This introduction is aimed at researchers who would like to learn more - and eventually to use - the main ideas and techniques of granular computing.

We explain how intervals naturally appear in data processing, which techniques exist for processing intervals, and how these techniques have been historically developed.

When Are Two Wave Functions Distinguishable: A New Answer To Pauli's Question, With Potential Applications To Quantum Cosmology, Luc Longpre, Vladik Kreinovich

Departmental Technical Reports (CS)

Traditional quantum mechanics (QM) predicts probabilities of different events. If we describe an elementary particle, then, experimentally, these probabilities mean that if we repeat the same measurement procedure with multiple particles in the same state, the resulting sequence of measurement results will be random w.r.t. the corresponding probability measure. In quantum cosmology, QM is used to describe the world as a whole; we have only one copy of the world, so multiple measurements are impossible. How to interpret these probabilities?

In this paper, we use the approach of the algorithmic information theory to come up with a reasonable interpretation. This …

Computing Statistical Characteristics When We Know Probabilities With Interval Or Fuzzy Uncertainty: Computational Complexity, Gang Xiang, Jim W. Hall

Departmental Technical Reports (CS)

In traditional statistics, we usually assume that we know the exact probability distributions. In practice, we often only know the probabilities with interval uncertainty.

The main emphasis on taking this uncertainty into account has been on situations in which we know a cumulative distribution function (cdf) with interval uncertainty. However, in some cases, we know the probability density function (pdf) with interval uncertainty. We show that in this situations, the exact range of some statistical characteristics can be efficiently computed. Surprisingly, for some other characteristics, similar statistical problems which are efficiently solvable for interval-valued cdf become computationally difficult (NP-hard) for …

Sexual Conflict Over Egg Allocation: A Dynamic Programming Approach To Modeling The Evolution Of Male Harm And Female Resistance, David Kelley

Renée Crown University Honors Thesis Projects - All

Sexual conflict, which is expected to be ubiquitous among polygamous species, is known to occasionally result in male adaptations that are harmful to females. One theoretical model indicates that males may benefit from physically harming their mates by triggering a “terminal investment” reproductive response by them. Using dynamic programming, we explore how females optimize their lifetime egg allocation, how selection acts on males to exploit such allocation, and how females respond to resist this exploitation. The model reveals alternative female response pathways; one of the most effective of which is simply to forgo plasticity in egg allocation. By switching to …

Comparing Features Of Three-Dimensional Object Models Using Registration Based On Surface Curvature Signatures, Timothy David Gatzke, Cindy M. Grimm

All Computer Science and Engineering Research

This dissertation presents a technique for comparing local shape properties for similar three-dimensional objects represented by meshes. Our novel shape representation, the curvature map, describes shape as a function of surface curvature in the region around a point. A multi-pass approach is applied to the curvature map to detect features at different scales. The feature detection step does not require user input or parameter tuning. We use features ordered by strength, the similarity of pairs of features, and pruning based on geometric consistency to efficiently determine key corresponding locations on the objects. For genus zero objects, the corresponding locations are …

Unwoven Aspect Analysis, Morgan G. Deters

All Computer Science and Engineering Research

Various languages and tools supporting advanced separation of concerns (such as aspect-oriented programming) provide a software developer with the ability to separate functional and non-functional programmatic intentions. Once these separate pieces of the software have been specified, the tools automatically handle interaction points between separate modules, relieving the developer of this chore and permitting more understandable, maintainable code. Many approaches have left traditional compiler analysis and optimization until after the composition has been performed; unfortunately, analyses performed after composition cannot make use of the logical separation present in the original program. Further, for modular systems that can be configured with …

Accessible Interactive Campus Mapping System For Syracuse University/Suny-Esf, Aaron C. Knight

Renée Crown University Honors Thesis Projects - All

This written component of my Capstone Thesis in Computer Science covers the conceptualization and realization, and the process in between those stages, of my project, the Syracuse University Accessible Interactive Campus Map system. The system in its present state is launched at http://map.syr.edu. This project creates a usable and useful map and directions system for the Syracuse University and SUNY-ESF communities, which have long suffered without any properly oriented or fully functional map, much less an online one of any use. What this project also does is turn the Syracuse University Accessibility Map, produced by the Office of Disability Services …

Intrusion Detection And Response Model For Mobile Ad Hoc Networks., Sathishkumar Alampalayam 1974-

Electronic Theses and Dissertations

This dissertation presents a research whose objective is to design and develop an intrusion detection and response model for Mobile Ad hoc NETworks (MANET). Mobile ad hoc networks are infrastructure-free, pervasive and ubiquitous in nature, without any centralized authority. These unique MANET characteristics present several changes to secure them. The proposed security model is called the Intrusion Detection and Response for Mobile Ad hoc Networks (IDRMAN). The goal of the proposed model is to provide a security framework that will detect various attacks and take appropriate measures to control the attack automatically. This model is based on identifying critical system …

An Emotional Mimicking Humanoid Biped Robot And Its Quantum Control Based On The Constraint Satisfaction Model, Quay Williams, Scott Bogner, Michael Kelley, Carolina Castillo, Martin Lukac, Dong Hwa Kim, Jeff S. Allen, Mathias I. Sunardi, Sazzad Hossain, Marek Perkowski

Electrical and Computer Engineering Faculty Publications and Presentations

The paper presents a humanoid robot that responds to human gestures seen by a camera. The behavior of the robot can be completely deterministic as specified by a Finite State Machine that maps the sensor signals to the effector signals. This model is further extended to the constraints-satisfaction based model that links robots vision, motion, emotional behavior and planning. One way of implementing this model is to use adiabatic quantum computer which quadratically speeds-up every constraint problem and will be thus necessary to solve large problems of this type. We propose to use the remotely-connected Orion system by DWAVE Corporation.

Nesting System With Quantization And Knowledge Base Applied, Leszek Koszalka, Grzegorz Chmaj

Electrical & Computer Engineering Faculty Research

Nesting algorithms deal with placing two dimensional shapes on the given canvas. In this paper a binary way of solving the nesting problem is proposed. Geometric shapes are quantized into binary form, which is used to operate on them. After finishing nesting they are converted back into original geometrical form. Investigations showed, that there is a big influence of quantization accuracy for the nesting effect. However, greater accuracy results with longer time of computation. The proposed knowledge base system is able to strongly reduce the computational time.

Towards Redaction Of Digital Information From Electronic Devices, Gavin W. Manes, Lance Watson, David Greer, Alex Barclay, John Hale

Annual ADFSL Conference on Digital Forensics, Security and Law

In the discovery portion of court proceedings, it is necessary to produce information to opposing counsel. Traditionally, this information is in paper form with all privileged information removed. Increasingly, the information requested during discovery exists in digital form and savvy counsel is requesting direct access to the original digital source: a broad spectrum of additional digital information can be often be extracted using digital forensics. This paper describes the major problems which must be solved to redact digital information from electronic devices. The primary hurdle facing digital redaction is the lack of a rational process for systematically handling encoded, encrypted, …

Do Current Erasure Programs Remove Evidence Of Bittorrent Activity?, Andrew Woodward, Craig Valli

Annual ADFSL Conference on Digital Forensics, Security and Law

This research in progress aims to evaluate the effectiveness of commercial programs to erase traces of the use of BitTorrent software. The erasure programs MaxErase, P2PDoctor, Privacy Suite, Window Washer and R-Clean and Wipe were used on a machine that had used the BitTorrent client Azureus to download two torrent files. The drive was imaged and then searched for torrent files. The registry was also examined on the source machine. The program R-Clean and Wipe left evidence in both the registry and the image of the name and type of files that had been downloaded with this software. Of greater …

The Case For Teaching Network Protocols To Computer Forensics Examiners, Gary C. Kessler, Matt Fasulo

Annual ADFSL Conference on Digital Forensics, Security and Law

Most computer forensics experts are well-versed in basic computer hardware technology, operating systems, common software applications, and computer forensics tools. And while many have rudimentary knowledge about the Internet and simple network-lookup tools, they are not trained in the analysis of network communication protocols and the use of packet sniffers. This paper describes digital forensics applications for network analysis and includes four case studies.

Keywords: computer forensics education, network forensics, protocol analysis

Textbooks For Computer Forensic Courses: A Preliminary Study, Jigang Liu, Larry Gottschalk, Kuodi Jian

Annual ADFSL Conference on Digital Forensics, Security and Law

As computer forensics develops into one of the fastest-growing areas in the computer related fields, many universities and colleges are offering or are planning to offer a course in computer forensics. When instructors begin to develop a new course in the area, one of critical questions they would ask is what textbook should be used. To better answer the question, we conducted a study in which we tried to find which textbooks are being used in computer forensic courses. We believe that the results and analysis of our study will help instructors in choosing adequate textbooks for their new course …

Education For Cyber Crime Investigators, David Greer, Joe Mulenex, John Hale, Gavin W. Manes

Annual ADFSL Conference on Digital Forensics, Security and Law

Digital forensics and cyber crime investigations are continually growing, rapidly changing fields requiring law enforcement agencies to meet very rigorous training requirements. New opportunities for committing criminal activity against persons, organization or property are presented every day with the proliferation of personal digital devices, computers, the internet, computer networks, and automated data systems. Whether the crime involves attacks against computer systems, electronic information, or more traditional crimes such as murder, money laundering or fraud, electronic evidence is becoming more prevalent. It is no surprise that law enforcement and criminal justice officials are being overwhelmed by the volume of investigations and …

Computer Geolocation Using Extracted Features, Chad M.S. Steel

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper compares the extracted feature data from a sample set of hard drive images in an effort to relate the features to the physical location of the drive. A list of probable zip codes, phone numbers, place names, and IP addresses are extracted from raw drive images and compared to manually identified geolocation data. The results of the individual extractions are then analyzed to determine the feasibility in using automated extraction and analysis techniques for geolocating hard drives.

Keywords: hard disk forensics, geocoding, geolocation

Defending Against Insider Use Of Digital Steganography, James E. Wingate, Glenn D. Watt, Marc Kurtz, Chad W. Davis, Robert Lipscomb

Annual ADFSL Conference on Digital Forensics, Security and Law

The trusted insider is among the most harmful and difficult to detect threats to information security, according to the Federal Plan for Information Assurance and Cyber Security Research and Development released in April 2006. By default, employees become trusted insiders when granted the set of privileges needed to do their jobs, which typically includes access to the Internet. It is generally presumed the insiders are loyally working to achieve the organization’s goals and objectives and would not abuse the privileges given to them. However, some insiders will inevitably abuse some of their privileges. For example, a trusted insider might abuse …

Investigating Information Structure Of Phishing Emails Based On Persuasive Communication Perspective, Ki Jung Lee, Il-Yeol Song

Annual ADFSL Conference on Digital Forensics, Security and Law

Current approaches of phishing filters depend on classifying messages based on textually discernable features such as IP-based URLs or domain names as those features that can be easily extracted from a given phishing message. However, in the same sense, those easily perceptible features can be easily manipulated by sophisticated phishers. Therefore, it is important that universal patterns of phishing messages should be identified for feature extraction to serve as a basis for text classification. In this paper, we demonstrate that user perception regarding phishing message can be identified in central and peripheral routes of information processing. We also present a …

Monitoring And Surveillance In The Workplace: Lessons Learnt? – Investigating The International Legal Position, Verine Etsebeth

Annual ADFSL Conference on Digital Forensics, Security and Law

When considering the legal implications of monitoring and surveillance in the workplace, the question may be asked why companies deploy computer surveillance and monitoring in the first place. Several reasons may be put forward to justify why more than 80% of all major American firms monitor employee e-mails and Internet usage. However, what most companies forget is the fact that the absence or presence of monitoring and surveillance activities in a company holds serious legal consequences for companies. From the discussion in this paper it will become apparent that there is a vast difference in how most countries approach this …

The Gap Between Theory And Practice In Digital Forensics, Joseph C. Sremack

Annual ADFSL Conference on Digital Forensics, Security and Law

Digital forensics is a young field that is being defined by the reactive nature of its development – in terms of both research and practice. As technology develops, digital forensics is forced to react and adapt. The rapid development of technology and the lack of an established theoretical foundation has led to a disconnect between the theory and practice of digital forensics. While the base theoretical issues are being worked on by researchers, practitioners are dealing with entirely new sets of issues. The complexity of investigations is increasing, and anti-forensics techniques are advancing as well. The disconnect will be resolved …

An Exploratory Analysis Of Computer Mediated Communications On Cyberstalking Severity, Stephen D. Barnes, David P. Biros

Annual ADFSL Conference on Digital Forensics, Security and Law

The interaction between disjunctive interpersonal relationships, those where the parties to the relationship disagree on the goals of the relationship, and the use of computer mediated communications channels is a relatively unexplored domain. Bargh (2002) suggests that CMC channels can amplify the development of interpersonal relationships, and notes that the effect is not constant across communications activities. This proposal suggests a line of research that explores the interaction between computer mediated communications (CMC) and stalking, which is a common form of disjunctive relationships. Field data from cyberstalking cases will be used to look at the effects of CMC channels on …