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Articles 11791 - 11820 of 17340
Full-Text Articles in Computer Sciences
A Forensic Overview Of The Lg Smart Tv, Iain Sutherland, Konstantino Xynos, Huw Read, Andy Jones, Tom Drange
A Forensic Overview Of The Lg Smart Tv, Iain Sutherland, Konstantino Xynos, Huw Read, Andy Jones, Tom Drange
Australian Digital Forensics Conference
The emerging Smart TV platform will likely replace traditional television sets over time as the entertainment and communication centrepiece in people’s homes. Given its expanded functionality and now, its online presence, there is a need to identify how they may become part of forensic investigations. The purpose of this paper is to introduce the area of Smart TVs and the potential forensic value these systems present in combination with their ever advancing functionality and capabilities. We provide an overview of Smart TV systems highlighting functionality and potential issues. We also take an initial look at two particular models, from the …
Forensic Examination And Analysis Of The Prefetch Files On The Banking Trojan Malware Incidents, Andri P. Heriyanto
Forensic Examination And Analysis Of The Prefetch Files On The Banking Trojan Malware Incidents, Andri P. Heriyanto
Australian Digital Forensics Conference
Whenever a program runs within the operating system, there will be data or artefacts created on the system. This condition applies to the malicious software (malware). Although they intend to obscure their presence on the system with anti-forensic techniques, still they have to run on the victim’s system to acquire their objective. Modern malware creates a significant challenge to the digital forensic community since they are being designed to leave limited traces and misdirect the examiner. Therefore, every examiner should consider performing all the forensics approaches such as memory forensic, live-response and Windows file analysis in the related malware incidents …
Semantic Entry Pairing For Improved Data Validation And Discovery, Adam Shepherd, Cyndy Chandler, Robert Arko, Yanning Chen, Adila Krisnadhi, Pascal Hitzler, Thomas Narock, Robert Groman, Shannon Rauch
Semantic Entry Pairing For Improved Data Validation And Discovery, Adam Shepherd, Cyndy Chandler, Robert Arko, Yanning Chen, Adila Krisnadhi, Pascal Hitzler, Thomas Narock, Robert Groman, Shannon Rauch
Computer Science and Engineering Faculty Publications
No abstract provided.
A Mathematical Framework For Unmanned Aerial Vehicle Obstacle Avoidance, Sorathan Chaturapruek
A Mathematical Framework For Unmanned Aerial Vehicle Obstacle Avoidance, Sorathan Chaturapruek
HMC Senior Theses
The obstacle avoidance navigation problem for Unmanned Aerial Vehicles (UAVs) is a very challenging problem. It lies at the intersection of many fields such as probability, differential geometry, optimal control, and robotics. We build a mathematical framework to solve this problem for quadrotors using both a theoretical approach through a Hamiltonian system and a machine learning approach that learns from human sub-experts' multiple demonstrations in obstacle avoidance. Prior research on the machine learning approach uses an algorithm that does not incorporate geometry. We have developed tools to solve and test the obstacle avoidance problem through mathematics.
A Distributed Consensus Algorithm For Decision Making In Service-Oriented Internet Of Things, Shancang Li, George Oikonomou, Theo Tryfonas, Thomas M. Chen, Li Da Xu
A Distributed Consensus Algorithm For Decision Making In Service-Oriented Internet Of Things, Shancang Li, George Oikonomou, Theo Tryfonas, Thomas M. Chen, Li Da Xu
Information Technology & Decision Sciences Faculty Publications
In a service-oriented Internet of things (IoT) deployment, it is difficult to make consensus decisions for services at different IoT edge nodes where available information might be insufficient or overloaded. Existing statistical methods attempt to resolve the inconsistency, which requires adequate information to make decisions. Distributed consensus decision making (CDM) methods can provide an efficient and reliable means of synthesizing information by using a wider range of information than existing statistical methods. In this paper, we first discuss service composition for the IoT by minimizing the multi-parameter dependent matching value. Subsequently, a cluster-based distributed algorithm is proposed, whereby consensuses are …
Description Logics, Adila Krisnadhi, Pascal Hitzler
Description Logics, Adila Krisnadhi, Pascal Hitzler
Computer Science and Engineering Faculty Publications
Description logics (DLs) is a family of knowledge representation (KR) languages which represent knowledge in a domain of interest using formal, logic-based semantics through knowledge bases (KBs) containing general assertions of describing relevant concepts - hence, the term description - and specific assertions about individuals and relationships among them.
Ontology Design Patterns For Ocean Science Data Discovery, Pascal Hitzler
Ontology Design Patterns For Ocean Science Data Discovery, Pascal Hitzler
Computer Science and Engineering Faculty Publications
No abstract provided.
Data Mining Based Hybridization Of Meta-Raps, Fatemah Al-Duoli, Ghaith Rabadi
Data Mining Based Hybridization Of Meta-Raps, Fatemah Al-Duoli, Ghaith Rabadi
Engineering Management & Systems Engineering Faculty Publications
Though metaheuristics have been frequently employed to improve the performance of data mining algorithms, the opposite is not true. This paper discusses the process of employing a data mining algorithm to improve the performance of a metaheuristic algorithm. The targeted algorithms to be hybridized are the Meta-heuristic for Randomized Priority Search (Meta-RaPS) and an algorithm used to create an Inductive Decision Tree. This hybridization focuses on using a decision tree to perform on-line tuning of the parameters in Meta-RaPS. The process makes use of the information collected during the iterative construction and improvement phases Meta-RaPS performs. The data mining algorithm …
An Efficient Similarity Digests Database Lookup -- A Logarithmic Divide And Conquer Approach, Frank Breitinger, Christian Rathgeb, Harald Baier
An Efficient Similarity Digests Database Lookup -- A Logarithmic Divide And Conquer Approach, Frank Breitinger, Christian Rathgeb, Harald Baier
Electrical & Computer Engineering and Computer Science Faculty Publications
Investigating seized devices within digital forensics represents a challenging task due to the increasing amount of data. Common procedures utilize automated file identification, which reduces the amount of data an investigator has to examine manually. In the past years the research field of approximate matching arises to detect similar data. However, if n denotes the number of similarity digests in a database, then the lookup for a single similarity digest is of complexity of O(n). This paper presents a concept to extend existing approximate matching algorithms, which reduces the lookup complexity from O(n) to O(log(n)). Our proposed approach is based …
A Comparative Study Of Reservoir Computing For Temporal Signal Processing, Alireza Goudarzi, Peter Banda, Matthew R. Lakin, Christof Teuscher, Darko Stefanovic
A Comparative Study Of Reservoir Computing For Temporal Signal Processing, Alireza Goudarzi, Peter Banda, Matthew R. Lakin, Christof Teuscher, Darko Stefanovic
Computer Science Faculty Publications and Presentations
Reservoir computing (RC) is a novel approach to time series prediction using recurrent neural networks. In RC, an input signal perturbs the intrinsic dynamics of a medium called a reservoir. A readout layer is then trained to reconstruct a target output from the reservoir's state. The multitude of RC architectures and evaluation metrics poses a challenge to both practitioners and theorists who study the task-solving performance and computational power of RC. In addition, in contrast to traditional computation models, the reservoir is a dynamical system in which computation and memory are inseparable, and therefore hard to analyze. Here, we compare …
Complementary Layered Learning, Sean Mondesire
Complementary Layered Learning, Sean Mondesire
Electronic Theses and Dissertations
Layered learning is a machine learning paradigm used to develop autonomous robotic-based agents by decomposing a complex task into simpler subtasks and learns each sequentially. Although the paradigm continues to have success in multiple domains, performance can be unexpectedly unsatisfactory. Using Boolean-logic problems and autonomous agent navigation, we show poor performance is due to the learner forgetting how to perform earlier learned subtasks too quickly (favoring plasticity) or having difficulty learning new things (favoring stability). We demonstrate that this imbalance can hinder learning so that task performance is no better than that of a suboptimal learning technique, monolithic learning, which …
Improved Internet Security Protocols Using Cryptographic One-Way Hash Chains, Amerah Alabrah
Improved Internet Security Protocols Using Cryptographic One-Way Hash Chains, Amerah Alabrah
Electronic Theses and Dissertations
In this dissertation, new approaches that utilize the one-way cryptographic hash functions in designing improved network security protocols are investigated. The proposed approaches are designed to be scalable and easy to implement in modern technology. The first contribution explores session cookies with emphasis on the threat of session hijacking attacks resulting from session cookie theft or sniffing. In the proposed scheme, these cookies are replaced by easily computed authentication credentials using Lamport's well-known one-time passwords. The basic idea in this scheme revolves around utilizing sparse caching units, where authentication credentials pertaining to cookies are stored and fetched once needed, thereby, …
Efficient Cooperative Mimo Paradigms For Cognitive Radio Networks, Wei Chen, Liang Hong, Xiaoqian Chen
Efficient Cooperative Mimo Paradigms For Cognitive Radio Networks, Wei Chen, Liang Hong, Xiaoqian Chen
Computer Science Faculty Research
This paper investigates the benefits that cooperative communication brings to cognitive radio networks. We focus on cooperative Multiple Input Multiple Output (MIMO) technology, where multiple distributed single-antenna secondary users cooperate on data transmission and reception. Three cooperative MIMO paradigms are proposed to maximize the diversity gain and significantly improve the performance of overlay, underlay and interweave systems. In the paradigm for overlay systems the secondary users can assist (relay) the primary transmissions even when they are far away from the primary users. In the paradigm for underlay systems the secondary users can share the primary users’ frequency resources without any …
Intelligent Selection Techniques For Virtual Environments, Jeffrey Cashion
Intelligent Selection Techniques For Virtual Environments, Jeffrey Cashion
Electronic Theses and Dissertations
Selection in 3D games and simulations is a well-studied problem. Many techniques have been created to address many of the typical scenarios a user could experience. For any single scenario with consistent conditions, there is likely a technique which is well suited. If there isn't, then there is an opportunity for one to be created to best suit the expected conditions of that new scenario. It is critical that the user be given an appropriate technique to interact with their environment. Without it, the entire experience is at risk of becoming burdensome and not enjoyable. With all of the different …
Mobile Device Vulnerabilities & Securities, Luke Rondeau
Mobile Device Vulnerabilities & Securities, Luke Rondeau
Senior Honors Theses and Projects
An investigation on current mobile vulnerabilities and research into security. Also, a proof of concept to show the ease of injecting an Android phone with a virus.
Web Ontology Language (Owl), Kunal Sengupta, Pascal Hitzler
Web Ontology Language (Owl), Kunal Sengupta, Pascal Hitzler
Computer Science and Engineering Faculty Publications
Web Ontology Language (OWL) is a core world wide web consortium [W3C] standard Knowledge representation language for the Semantic Web.
Pen-Based Methods For Recognition And Animation Of Handwritten Physics Solutions, Salman Cheema
Pen-Based Methods For Recognition And Animation Of Handwritten Physics Solutions, Salman Cheema
Electronic Theses and Dissertations
There has been considerable interest in constructing pen-based intelligent tutoring systems due to the natural interaction metaphor and low cognitive load afforded by pen-based interaction. We believe that pen-based intelligent tutoring systems can be further enhanced by integrating animation techniques. In this work, we explore methods for recognizing and animating sketched physics diagrams. Our methodologies enable an Intelligent Tutoring System (ITS) to understand the scenario and requirements posed by a given problem statement and to couple this knowledge with a computational model of the student's handwritten solution. These pieces of information are used to construct meaningful animations and feedback mechanisms …
Automatic Detection Of Brain Functional Disorder Using Imaging Data, Soumyabrata Dey
Automatic Detection Of Brain Functional Disorder Using Imaging Data, Soumyabrata Dey
Electronic Theses and Dissertations
Recently, Attention Deficit Hyperactive Disorder (ADHD) is getting a lot of attention mainly for two reasons. First, it is one of the most commonly found childhood behavioral disorders. Around 5-10% of the children all over the world are diagnosed with ADHD. Second, the root cause of the problem is still unknown and therefore no biological measure exists to diagnose ADHD. Instead, doctors need to diagnose it based on the clinical symptoms, such as inattention, impulsivity and hyperactivity, which are all subjective. Functional Magnetic Resonance Imaging (fMRI) data has become a popular tool to understand the functioning of the brain such …
Listening To Botnet Communication Channels To Protect Information Systems, Brian Cusack, Sultan Almutairi
Listening To Botnet Communication Channels To Protect Information Systems, Brian Cusack, Sultan Almutairi
Australian Digital Forensics Conference
Botnets are a weapon of choice for people who wish to exploit information systems for economic advantage. A large percentage of high value commercial targets such as banking transaction systems and human customers are web connected so that access is gained through Internet services. A Botnet is designed to maximise the possibility of an economic success through the low cost of attacks and the high number that may be attempted in any small time unit. In this paper we report exploratory research into the communications of Botnets. The research question was: How do Botnets talk with the command and control …
The Zombies Strike Back: Towards Client-Side Beef Detection, Maxim Chernyshev, Peter Hannay
The Zombies Strike Back: Towards Client-Side Beef Detection, Maxim Chernyshev, Peter Hannay
Australian Digital Forensics Conference
A web browser is an application that comes bundled with every consumer operating system, including both desktop and mobile platforms. A modern web browser is complex software that has access to system-level features, includes various plugins and requires the availability of an Internet connection. Like any multifaceted software products, web browsers are prone to numerous vulnerabilities. Exploitation of these vulnerabilities can result in destructive consequences ranging from identity theft to network infrastructure damage. BeEF, the Browser Exploitation Framework, allows taking advantage of these vulnerabilities to launch a diverse range of readily available attacks from within the browser context. Existing defensive …
Locational Wireless And Social Media-Based Surveillance, Maxim Chernyshev
Locational Wireless And Social Media-Based Surveillance, Maxim Chernyshev
Australian Digital Forensics Conference
The number of smartphones and tablets as well as the volume of traffic generated by these devices has been growing constantly over the past decade and this growth is predicted to continue at an increasing rate over the next five years. Numerous native features built into contemporary smart devices enable highly accurate digital fingerprinting techniques. Furthermore, software developers have been taking advantage of locational capabilities of these devices by building applications and social media services that enable convenient sharing of information tied to geographical locations. Mass online sharing resulted in a large volume of locational and personal data being publicly …
A Forensically-Enabled Iaas Cloud Computing Architecture, Saad Alqahtany, Nathan Clarke, Steven Furnell, Christoph Reich
A Forensically-Enabled Iaas Cloud Computing Architecture, Saad Alqahtany, Nathan Clarke, Steven Furnell, Christoph Reich
Australian Digital Forensics Conference
Current cloud architectures do not support digital forensic investigators, nor comply with today’s digital forensics procedures largely due to the dynamic nature of the cloud. Whilst much research has focused upon identifying the problems that are introduced with a cloud-based system, to date there is a significant lack of research on adapting current digital forensic tools and techniques to a cloud environment. Data acquisition is the first and most important process within digital forensics – to ensure data integrity and admissibility. However, access to data and the control of resources in the cloud is still very much provider-dependent and complicated …
Up-Dating Investigation Models For Smart Phone Procedures, Brian Cusack, Raymond Lutui
Up-Dating Investigation Models For Smart Phone Procedures, Brian Cusack, Raymond Lutui
Australian Digital Forensics Conference
The convergence of services in Smart Technologies such as iPhones, Androids and multiple tablet work surfaces challenges the scope of any forensic investigation to include cloud environments, devices and service media. The analysis of current investigation guidelines suggests that each element in an investigation requires an independent procedure to assure the preservation of evidence. However we dispute this view and review the possibility of consolidating current investigation guidelines into a unified best practice guideline. This exploratory research proposes to fill a gap in digital forensic investigation knowledge for smart technologies used in business environments and to propose a better way …
The Impact Of Custom Rom Backups On Android External Storage Erasure, Haydon Hope, Peter Hannay
The Impact Of Custom Rom Backups On Android External Storage Erasure, Haydon Hope, Peter Hannay
Australian Digital Forensics Conference
The Android operating system is the current market leader on mobile devices such as smartphones and tablet computers. The core operating system is open source and has a number of developers creating variants of this operating system. These variants, often referred to as custom ROMs are available for a wide number of mobile devices. Custom ROMs provide a number of features, such as enhanced control over the operating system, variation in user interfaces and so on. The process of installing custom ROMs is often accomplished through the use of a ROM manager application. Such applications often provide mechanisms to back …
A Fault Prediction Scheme For Takagi-Sugeno Fuzzy Systems With Immeasurable Premise Variables And Disturbance, Balaje T. Thumati, Jagannathan Sarangapani
A Fault Prediction Scheme For Takagi-Sugeno Fuzzy Systems With Immeasurable Premise Variables And Disturbance, Balaje T. Thumati, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
As explained in the literature, it is very hard to measure premise variables of a Takagi-Sugeno (TS) fuzzy system. Therefore, in this paper, a fault detection and prediction (FDP) scheme is designed for a class of TS fuzzy systems with immeasurable (unknown) premise variables and external disturbances. A fault detection (FD) observer is designed to approximate the system output and the premise variables. Subsequently, a FD residual is generated by comparing the observer output with respect to the system output. The FD residual is evaluated to detect any faults in the system. Further, time-to-failure (TTF) of the TS fuzzy system …
Localization And Tracking Of Objects Using Cross-Correlation Of Shadow Fading Noise, M. R. Basheer, S. Jagannathan
Localization And Tracking Of Objects Using Cross-Correlation Of Shadow Fading Noise, M. R. Basheer, S. Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
Multipath and shadow fading are the primary cause for positioning errors in a Received Signal Strength Indicator (RSSI) based localization scheme. While fading, in general, is detrimental to localization accuracy, cross-correlation and divergence properties of shadow fading residuals may be utilized to improve localization and tracking accuracy of mobile IEEE 802.15.4 transmitters. Therefore, this paper begins by presenting a stochastic filter that models the fast-changing multipath fading as a mean reverting Ornstein-Uhlenbeck (OU) process followed by a Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) filtering to isolate the slow changing shadow fading residuals from measured RSSI values. Subsequently, a novel wireless …
Nonlinear Development And Secondary Instability Of Traveling Crossflow Vortices, Fei Li, Meelan M. Choudhari, Lian Duan, Chau-Lyan Chang
Nonlinear Development And Secondary Instability Of Traveling Crossflow Vortices, Fei Li, Meelan M. Choudhari, Lian Duan, Chau-Lyan Chang
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Building upon the prior research targeting the laminar breakdown mechanisms associated with stationary crossflow instability over a swept-wing configuration, this paper investigates the secondary instability of traveling crossflow modes as an alternate scenario for transition. For the parameter range investigated herein, this alternate scenario is shown to be viable unless the initial amplitudes of the traveling crossflow instability are lower than those of the stationary modes by considerably more than one order of magnitude. The linear growth predictions based on the secondary instability theory are found to agree well with both parabolized stability equations and direct numerical simulation, and the …
File Detection On Network Traffic Using Approximate Matching, Frank Breitinger, Ibrahim Baggili
File Detection On Network Traffic Using Approximate Matching, Frank Breitinger, Ibrahim Baggili
Electrical & Computer Engineering and Computer Science Faculty Publications
In recent years, Internet technologies changed enormously and allow faster Internet connections, higher data rates and mobile usage. Hence, it is possible to send huge amounts of data / files easily which is often used by insiders or attackers to steal intellectual property. As a consequence, data leakage prevention systems (DLPS) have been developed which analyze network traffic and alert in case of a data leak. Although the overall concepts of the detection techniques are known, the systems are mostly closed and commercial. Within this paper we present a new technique for network traffic analysis based on approximate matching (a.k.a …
Quantifying Relevance Of Mobile Digital Evidence As They Relate To Case Types: A Survey And A Guide For Best Practices, Shahzad Saleem, Ibrahim Baggili, Oliver Popov
Quantifying Relevance Of Mobile Digital Evidence As They Relate To Case Types: A Survey And A Guide For Best Practices, Shahzad Saleem, Ibrahim Baggili, Oliver Popov
Electrical & Computer Engineering and Computer Science Faculty Publications
In this work, a survey was conducted to help quantify the relevance of nineteen types of evidence (such as SMS) to seven types of digital investigations associated with mobile devices (MD) (such as child pornography). 97 % of the respondents agreed that every type of digital evidence has a different level of relevance to further or solve a particular investigation. From 55 serious participants, a data set of 5,772 responses regarding the relevance of nineteen types of digital evidence for all the seven types of digital investigations was obtained. The results showed that (i) SMS belongs to the most relevant …
Mobile Indoor Positioning For Augmented Reality Systems, Robert B. Glass
Mobile Indoor Positioning For Augmented Reality Systems, Robert B. Glass
Theses and Dissertations
This thesis explores the creation and setup of a prototype that allows users of the device to interact within an indoor real world environment and a virtual environment simultaneously using high-tech common technology. The prototype is comprised of a small mobile device such as a cellular mobile phone, Raspberry Pi computer, a battery powered handheld Pico projector, and software developed for the Android OS. The software can easily be ported to other mobile and non-mobile operating systems. The mobile device must contain accelerometer, magnetometer, and gyroscope embedded sensors as well as 802.11 wireless network chip. The prototype software implements an …