Computer Sciences Commons^™

Password Typo Correction Using Discrete Logarithms, Nikola K. Blanchrad

UBT International Conference

As passwords remain the main online authentication method, focus has shifted from naive entropy to how usability improvements can increase security. Chatterjee et al. recently introduced the first two typotolerant password checkers, which improve usability at no security cost but are technically complex. We look at the more general problem of computing an edit distance between two strings without having direct access to those strings — by storing the equivalent of a hash. We propose a simpler algorithm for this problem that is asymptotically quasi-optimal in both bits stored and exchanged, at the cost of more computation on the server.

Vulnerability Of Passwords Consisting Of Numerical Repetitive Sequences In The Wpa2 Protocol, Genc Kelmendi, Edmond Hajrizi

UBT International Conference

Protocols that govern wireless security WPA2/WPA have been proven much more secure in comparison to their predecessor WEP. However, the human factor jeopardizes the solidity of cryptography by implementing passwords consisting of programmatically predictable numerical structures such as 1234512345, 11114444, 999888777 and so on. This practice endangers the security of the WPA protocol in particular, as the locally stored WPA handshake can be attacked for an unlimited number of times using brute-force attacks. The methods presented in this paper are effective in decrypting such passwords within seconds using ordinary processor power. The prevalence of this vulnerable practice in the Prishtina …

Establishing An Analytics Capability Within Hr, Rizwan Khan

River Cities Industrial and Organizational Psychology Conference

With advancements in technology, HR finally has the tools available to collect and process people data. But is that all that is needed to successfully implement and sustain an analytics capability within HR? The purpose of this presentation/tutorial is to demonstrate a realistic journey The AES Corporation has taken thus far in developing its People Analytics capability. A framework for the implementation of People Analytics will be presented which incorporates themes in I/O Psychology that have been incorporated into the framework such as goal setting theory, job analysis, and change management. How this framework is operationalized will also be demonstrated …

Improvement Of Gender Recognition Using The Cosfire Filter Framework (Simulations Platform Of Shape-Preserving Regression – Pchip), Virtyt Lesha, Arben Haveri, Jozef Bushati

UBT International Conference

Biometrics is evolving every day more and more in technical sense and consequently faces with further challenges that become sharper. One of these challenges of is gender recognition that finds very important and key applications. In this paper, we consider the gender recognition process implemented through the Cosfire filter applied through Viola-Jones algorithm and simulated through the Matlab platform. Objective of this paper is improving the execution of gender recognition. The database contains 237 images of 128 to 128 pixels, where 128 are males and 109 are females. For each of them, gender recognition is performed by applying current and …

Analyzing The Linearity Of Some Operators, Faton Kabashi, Azir Jusufi, Hizer Leka

UBT International Conference

Linear operators occupy an important place in functional analysis and linear algebra, which are among the most important and substantive disciplines of mathematics, whose methods and results have created an indispensable apparatus for the development of numerical mathematics, theory of approximations, equations differential and especially mathematical physics and applied mathematics. Also, linear operators are a central object of study in vector space theory.

A linear operator is a function which satisfies the conditions of additivity and homogeneity. Not every function is linear operators. We will try to explore some functions which are also linear operators.

An Overview Of Big Data Analytics In Banking: Approaches, Challenges And Issues, Fisnik Doko, Igor Miskovski

UBT International Conference

Banks are harnessing the power of Big Data. They use Big Data and Data Science to drive change towards data and analytics to gain an overall competitive advantage. The Big Data has potential to transform enterprise operations and processes especially in the banking sector, because they have huge amount of transaction data. The goal of this paper is to give an overview of different approaches and challenges that exists in Big Data in banking sector. The work presented here will fulfill the gap of research papers in the last five years, with focus on Big Data in central banks and …

How Do Kosovo Firms Utilize Business Intelligence? An Exploratory Study, Ardian Hyseni

UBT International Conference

The purpose of this paper is to examine how Kosovo firms utilize business intelligence to analyze their data and better understand the past, present and the future of their firm. Business intelligence offers firms the ability to analyze large amount of data quicker and more effective. Decision making has become easier with the use of BI tools, but making the right decision at right time has become vital for the firms performance. This research will contribute on business industry by providing evidence how Kosovo firms utilize the BI system, what BI tools and what business values and processes BI offers …

Applying Soa Approach To Financial Institution: Case Study, Agon Memeti, Florinda Imeri

UBT International Conference

A financial institution is an institution that conducts financial transactions, such as depositing money, taking out loans and/or exchanging currencies. Systems used by them like any other system tend to skew old, but, the replacement and integration of these systems is a difficult due to the heterogeneous nature. Due to this it is imperative to consider alternative infrastructure such as SOA (service-oriented architecture), which is seen as the best technology for internal and external interfaces, resulting cost reductions associated with its deployment; combined with standardized protocols, and increased interoperability among IT infrastructures. Studies shows that this flexible architecture will encourage …

Semantic Web Technologies, Dukagjin Hyseni

UBT International Conference

This study attempts to highlight the great importance of developing Semantic Web as one of the best discovery of better data management and presentation within the WWW. Since the W3C's was discovered, initially providing classic web content as web 1.0 that had link / hyperlink of document`s location, then web 2.0 as web-applications have more advanced technologies to connect data, and finally semantic web as extension of web 3.0 also known as Linked Data. The results show that in addition to the rapid development of the Semantic Web, the demand to use its features by data publishers and data readers …

International Conference On Computer Science And Communication Engineering, University For Business And Technology - Ubt

UBT International Conference

UBT Annual International Conference is the 8th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make them be aware of the recent …

A Communication-Centric Framework For Post-Silicon System-On-Chip Integration Debug, Yuting Cao

USF Tampa Graduate Theses and Dissertations

System-on-Chip (SoC) plays an important role in people’s everyday life. These systems are often deployed in critical applications, bugs discovered after their deployment in field can be extremely expensive, resulting in catastrophic loss of company revenues, compromise of personal and national security, and even human life. Post-silicon debug is a critical component of the validation of modern microprocessors and SoC designs. A major challenge in post-silicon debug is the severely limited observability where only a small number of debug interface signals are available to observe a vast space of internal executions of SoC designs. This dissertation addresses the above issues …

Uncovering And Characterizing Splice Variants Associated With Survival In Lung Cancer Patients, Sean West, Sushil Kumar, Surinder K. Batra, Hesham Ali, Dario Ghersi

Interdisciplinary Informatics Faculty Publications

Splice variants have been shown to play an important role in tumor initiation and progression and can serve as novel cancer biomarkers. However, the clinical importance of individual splice variants and the mechanisms by which they can perturb cellular functions are still poorly understood. To address these issues, we developed an efficient and robust computational method to: (1) identify splice variants that are associated with patient survival in a statistically significant manner; and (2) predict rewired protein-protein interactions that may result from altered patterns of expression of such variants. We applied our method to the lung adenocarcinoma dataset from TCGA …

Authentication Usability Methodology, Jean-Baptiste Subils

USF Tampa Graduate Theses and Dissertations

Nowadays many systems require end users to authenticate themselves. Authentication is one of the security activities that end users perform the most. Thus, the usability of this security feature plays a major role in the proper utilization and adoption of a novel authentication method.

This dissertation presents coauthentication, a novel authentication system. Many authentication methods and protocols exist, but passwords remain the predominant authentication method used. Coauthentication is presented here in detail in several possible variations and their associated protocols, with performance comparisons.

This dissertation also presents a framework to evaluate authentication methods in terms of usability.

A large body …

A Gpu-Based Framework For Parallel Spatial Indexing And Query Processing, Zhila Nouri Lewis

USF Tampa Graduate Theses and Dissertations

Support for efficient spatial data storage and retrieval have become a vital component in almost all spatial database systems. Previous work has shown the importance of using spatial indexing and parallel computing to speed up such tasks. While GPUs have become a mainstream platform for high-throughput data processing in recent years, exploiting the massively parallel processing power of GPUs is non-trivial. Current approaches that parallelize one query at a time have low work efficiency and cannot make good use of GPU resources. On the other hand, many spatial database applications are busy systems in which a large number of queries …

Multimodal Emotion Recognition Using 3d Facial Landmarks, Action Units, And Physiological Data, Diego Fabiano

USF Tampa Graduate Theses and Dissertations

To fully understand the complexities of human emotion, the integration of multiple physical features from different modalities can be advantageous. Considering this, this thesis presents an approach to emotion recognition using handcrafted features that consist of 3D facial data, action units, and physiological data. Each modality independently, as well as the combination of each for recognizing human emotion were analyzed.

This analysis includes the use of principal component analysis to determine which dimensions of the feature vector are most important for emotion recognition. The proposed features are shown to be able to be used to accurately recognize emotion and that …

Court Record In The Age Of Artificial Intelligence, Fredric I. Lederer

Popular Media

No abstract provided.

How Do Spinal Surgeons Perceive The Impact Of Factors Used In Post-Surgical Complication Risk Scores?, Enea Parimbelli, Szymon Wilk, Dympna O'Sullivan, Stephen Kingwell, Wojtek Michalowski, Martin Michalowski

Conference papers

When deciding about surgical treatment options, an important aspect of the decision-making process is the potential risk of complications. A risk assessment performed by a spinal surgeon is based on their knowledge of the best available evidence and on their own clinical experience. The objective of this work is to demonstrate the differences in the way spine surgeons perceive the importance of attributes used to calculate risk of post-operative and quantify the differences by building individual formal models of risk perceptions. We employ a preference-learning method - ROR-UTADIS - to build surgeon-specific additive value functions for risk of complications. Comparing …

Work-In-Progress: Iot Device Signature Validation, Jeffrey Hemmes

Regis University Faculty Publications

Device fingerprinting is an area of security that has received renewed attention in recent years, with a number of classification methods proposed that rely on characteristics unique to a particular vendor or device type. Current works are limited to determining device type for purposes of access control and MAC address spoof prevention. This work synthesizes multiple sources of information to verify device capabilities in a device profile, which can be used in a number of applications not limited to authentication and authorization. The approach proposed in this paper relies on existing protocols and methods proposed in the literature, using a …

On Finding Two Posets That Cover Given Linear Orders, Ivy Ordanel, Proceso L. Fernandez Jr, Henry Adorna

Department of Information Systems & Computer Science Faculty Publications

The Poset Cover Problem is an optimization problem where the goal is to determine a minimum set of posets that covers a given set of linear orders. This problem is relevant in the field of data mining, specifically in determining directed networks or models that explain the ordering of objects in a large sequential dataset. It is already known that the decision version of the problem is NP-Hard while its variation where the goal is to determine only a single poset that covers the input is in P. In this study, we investigate the variation, which we call the 2-Poset …

Ml4iot: A Framework To Orchestrate Machine Learning Workflows On Internet Of Things Data, Jose Miguel Alves, Leonardo Honorio, Miriam A M Capretz

Electrical and Computer Engineering Publications

Internet of Things (IoT) applications generate vast amounts of real-time data. Temporal analysis of these data series to discover behavioural patterns may lead to qualified knowledge affecting a broad range of industries. Hence, the use of machine learning (ML) algorithms over IoT data has the potential to improve safety, economy, and performance in critical processes. However, creating ML workflows at scale is a challenging task that depends upon both production and specialized skills. Such tasks require investigation, understanding, selection, and implementation of specific ML workflows, which often lead to bottlenecks, production issues, and code management complexity and even then may …

Automated Morgan Keenan Classification Of Observed Stellar Spectra Collected By The Sloan Digital Sky Survey Using A Single Classifier, Michael J. Brice, Răzvan Andonie

All Faculty Scholarship for the College of the Sciences

The classification of stellar spectra is a fundamental task in stellar astrophysics. Stellar spectra from the Sloan Digital Sky Survey are applied to standard classification methods, k-nearest neighbors and random forest, to automatically classify the spectra. Stellar spectra are high dimensional data and the dimensionality is reduced using astronomical knowledge because classifiers work in low dimensional space. These methods are utilized to classify the stellar spectra into a complete Morgan Keenan classification (spectral and luminosity) using a single classifier. The motion of stars (radial velocity) causes machine-learning complications through the feature matrix when classifying stellar spectra. Due to the nature …

Vrsensory: Designing Inclusive Virtual Games With Neurodiverse Children, Ben Wasserman, Derek Prate, Bryce Purnell, Alex Muse, Kaitlyn Abdo, Kendra Day, Louanne Boyd

Engineering Faculty Articles and Research

We explore virtual environments and accompanying interaction styles to enable inclusive play. In designing games for three neurodiverse children, we explore how designing for sensory diversity can be understood through a formal game design framework. Our process reveals that by using sensory processing needs as requirements we can make sensory and social accessible play spaces. We contribute empirical findings for accommodating sensory differences for neurodiverse children in a way that supports inclusive play. Specifically, we detail the sensory driven design choices that not only support the enjoyability of the leisure activities, but that also support the social inclusion of sensory-diverse …

Protein Inter-Residue Distance Prediction Using Residual And Capsule Networks, Andrew Dillon

Theses

The protein folding problem, also known as protein structure prediction, is the task of building three-dimensional protein models given their one-dimensional amino acid sequence. New methods that have been successfully used in the most recent CASP challenge have demonstrated that predicting a protein's inter-residue distances is key to solving this problem. Various deep learning algorithms including fully convolutional neural networks and residual networks have been developed to solve the distance prediction problem. In this work, we develop a hybrid method based on residual networks and capsule networks. We demonstrate that our method can predict distances more accurately than the algorithms …

Enhancing Timeliness Of Drug Overdose Mortality Surveillance: A Machine Learning Approach, Patrick J. Ward, Peter J. Rock, Svetla Slavova, April M. Young, Terry L. Bunn, Ramakanth Kavuluru

Kentucky Injury Prevention and Research Center Faculty Publications

BACKGROUND: Timely data is key to effective public health responses to epidemics. Drug overdose deaths are identified in surveillance systems through ICD-10 codes present on death certificates. ICD-10 coding takes time, but free-text information is available on death certificates prior to ICD-10 coding. The objective of this study was to develop a machine learning method to classify free-text death certificates as drug overdoses to provide faster drug overdose mortality surveillance.

METHODS: Using 2017–2018 Kentucky death certificate data, free-text fields were tokenized and features were created from these tokens using natural language processing (NLP). Word, bigram, and trigram features were created …

Wearable Augmented Reality Application For Shoulder Rehabilitation, Giuseppe Turini, Sara Condino, Rosanna Viglialoro, Marco Gesi, Vincenzo Ferrari

Computer Science Publications

Augmented reality (AR) technology is gaining popularity and scholarly interest in the rehabilitation sector because of the possibility to generate controlled, user-specific environmental and perceptual stimuli which motivate the patient, while still preserving the possibility to interact with the real environment and other subjects, including the rehabilitation specialist. The paper presents the first wearable AR application for shoulder rehabilitation, based on Microsoft HoloLens, with real-time markerless tracking of the user’s hand. Potentialities and current limits of commercial head-mounted displays (HMDs) are described for the target medical field, and details of the proposed application are reported. A serious game was designed …

Generation Of Crowd Arrival And Destination Locations/Times In Complex Transit Facilities, Brian Ricks, Andrew Dobson, Athanasios Krontiris, Kostas Bekris, Mubbasir Kapadia, Fred Roberts

Computer Science Faculty Publications

In order to simulate virtual agents in the replica of a real facility across a long time span, a crowd simulation engine needs a list of agent arrival and destination locations and times that reflect those seen in the actual facility. Working together with a major metropolitan transportation authority, we propose a specification that can be used to procedurally generate this information. This specification is both uniquely compact and expressive—compact enough to mirror the mental model of building managers and expressive enough to handle the wide variety of crowds seen in real urban environments. We also propose a procedural algorithm …

Effectiveness Of Tools In Identifying Rogue Access Points On A Wireless Network, Ryan Vansickle, Tamirat Abegaz, Bryson Payne

KSU Proceedings on Cybersecurity Education, Research and Practice

Wireless access points have greatly improved users' ability to connect to the Internet. However, they often lack the security mechanisms needed to protect users. Malicious actors could create a rogue access point (RAP), using a device such as the WiFi Pineapple Nano, that could trick users into connecting to an illegitimate access point (AP). To make them look legitimate, adversaries tend to setup RAPs to include a captive portal. This is very effective, since most public networks use captive portals as a means to provide genuine access. The objective of this study is to examine the effectiveness of RAP identification …

Automatic Security Bug Detection With Findsecuritybugs Plugin, Hossain Shahriar, Kmarul Riad, Arabin Talukder, Hao Zhang, Zhuolin Li

KSU Proceedings on Cybersecurity Education, Research and Practice

The security threats to mobile application are growing explosively. Mobile app flaws and security defects could open doors for hackers to easily attack mobile apps. Secure software development must be addressed earlier in the development lifecycle rather than fixing the security holes after attacking. Early eliminating against possible security vulnerability will help us increase the security of software and mitigate the consequence of damages of data loss caused by potential malicious attacking. In this paper, we present a static security analysis approach with open source FindSecurityBugs plugin for Android StThe security threats to mobile application are growing explosively. Mobile app …

Automated Reverse Engineering Of Automotive Can Bus Controls, Charles Barron Kirby, Bryson Payne

KSU Proceedings on Cybersecurity Education, Research and Practice

This research provides a means of automating the process to reverse engineer an automobile’s CAN Bus to quickly recover CAN IDs and message values to control the various systems in a modern automobile. This approach involved the development of a Python script that uses several open-source tools to interact with the CAN Bus, and it takes advantage of several vulnerabilities associated with the CAN protocol. These vulnerabilities allow the script to conduct replay attacks against the CAN Bus and affect various systems in an automobile without the operator’s knowledge or interaction.

These replay attacks can be accomplished by capturing recorded …

A World Of Cyber Attacks (A Survey), Mubarak Banisakher, Marwan Omar

KSU Proceedings on Cybersecurity Education, Research and Practice

The massive global network that connects billions of humans and millions of devices and allow them to communicate with each other is known as the internet. Over the last couple of decades, the internet has grown expeditiously and became easier to use and became a great educational tool. Now it can used as a weapon that can steal someone’s identity, expose someone’s financial information, or can destroy your networking devices. Even in the last decade, there have been more cyber attacks and threats destroying major companies by breaching the databases that have millions of personal information that can be sold …