Computer Sciences Commons^™

A Scalable Approach To Joint Cyber Insurance And Security-As-A-Service Provisioning In Cloud Computing, Jonathan David Chase, Dusit Niyato, Ping Wang, Sivadon Chaisiri, Ryan K. L. Ko

Research Collection School Of Computing and Information Systems

As computing services are increasingly cloud-based, corporations are investing in cloud-based security measures. The Security-as-a-Service (SECaaS) paradigm allows customers to outsource security to the cloud, through the payment of a subscription fee. However, no security system is bulletproof, and even one successful attack can result in the loss of data and revenue worth millions of dollars. To guard against this eventuality, customers may also purchase cyber insurance to receive recompense in the case of loss. To achieve cost effectiveness, it is necessary to balance provisioning of security and insurance, even when future costs and risks are uncertain. To this end, …

Location Based Encryption, Tran Viet Xuan Phuong, Willy Susilo, Guomin Yang, Jun Yan, Dongxi Liu

Research Collection School Of Computing and Information Systems

We first propose a 2D Location Based Encryption (LBE) scheme, where the setting includes a geography center system and the 2D triangle area including the set of locations. A user joining in the system is provided with a pre-arranged key, which belongs to her/his location. If the user’s location is belonging to this area, he/she can decrypt the message. Our proposed scheme achieves a constant ciphertext size in encryption algorithm and decryption cost. Beyond the 2D-LBE scheme, we explore the 3D-LBE scheme; whereby the location is set up in the 3D dimensions. This proposed scheme is an extension of 2D-LBE …

Personalized Fashion Recommendation With Visual Explanations Based On Multimodal Attention Network: Towards Visually Explainable Recommendation, Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha

Research Collection School Of Computing and Information Systems

Fashion recommendation has attracted increasing attention from both industry and academic communities. This paper proposes a novel neural architecture for fashion recommendation based on both image region-level features and user review information. Our basic intuition is that: for a fashion image, not all the regions are equally important for the users, i.e., people usually care about a few parts of the fashion image. To model such human sense, we learn an attention model over many pre-segmented image regions, based on which we can understand where a user is really interested in on the image, and correspondingly, represent the image in …

Seven Hci Grand Challenges, C. Stephanidis, G. Salvendy, M. Antona, J. Chen, J. Dong, V. Duffy, X. Fang, C. Fidopiastis, G. Fragomeni, L. Fu, Y. Guo, D. Harris, A. Ioannou, K. Jeong, Keng Siau, H. Krömker, M. Kurosu, J.R. Lewis, A. Marcus, G. Meiselwitz

Research Collection School Of Computing and Information Systems

This article aims to investigate the Grand Challenges which arise in the current and emerging landscape of rapid technological evolution towards more intelligent interactive technologies, coupled with increased and widened societal needs, as well as individual and collective expectations that HCI, as a discipline, is called upon to address. A perspective oriented to humane and social values is adopted, formulating the challenges in terms of the impact of emerging intelligent interactive technologies on human life both at the individual and societal levels. Seven Grand Challenges are identified and presented in this article: Human-Technology Symbiosis; Human-Environment Interactions; Ethics, Privacy and Security; …

Use Of Mental Models And Cognitive Maps To Understand Students’ Learning Challenges, Zixing Shen, Songxin Tan, Keng Siau

Research Collection School Of Computing and Information Systems

Mental models and cognitive maps have been used in college business education as an instructional design technique, assessment tool, and learning strategy. The authors propose a novel use of mental models and cognitive maps as a device to elicit students’ challenges in learning the domain knowledge of a course. Such usage is illustrated in a management information systems course. This student-focused approach can help instructor to better understand students’ learning challenges and enhance teaching effectiveness.

How Could Robots Successfully Elicit Help From Humans?, Layla Alarifi

Theses and Dissertations

With the rapid growth of robot usages, more attention has been focused on the robots’ hardware and software to improve functionality. However, the interaction between humans and robots can be key to enhancing robots’ performance. Autonomous mobile robots may more successfully complete their tasks if they effectively solicit help from humans when they reach their limits. Hence, in this thesis, we examine three different manners, friendly, polite, and indirect, combining different interaction modalities, like speech and gestures. We conducted an experiment (involving 45 subjects) where the NAO robot addresses bystanders with the aforementioned three manners to elicit help with opening …

A Network-Driven Approach For Characterizing Emoji Usage In Social Media, Seyed Mohammad Mahdi Seyednezhad

Theses and Dissertations

With the rapid growth in the number of online users, people tend to use emojis to enrich their text with emotions. In this dissertation, after an overview of the previous studies on emojis, we provide a brief introduction to emojis and the way they are constructed by the Unicode codes points. Then, we extract the emojis from messages collected from Twitter in different topics. In the first step towards analyzing the emoji usage on social media, we created the directed weighted co-occurrence network of emojis for each topic. By analyzing these networks, we realized that emoji usage has a similar …

Mathematical Model And Algorithm For Calculating Complex Words In The Karakalpak Language, Shaxnoza Abidova

Bulletin of TUIT: Management and Communication Technologies

The article examines the morphology of the Karakalpak language, which belongs to the Kipchak group of the Turkic language family. The forms of word formation in the Karakalpak language, their sequences and the affixes added to the core are analyzed. On the basis of the analyzed affixes and suffixes, a complex mathematical model of word formation in the Karakalpak language was developed. On the basis of the developed mathematical model, an algorithm for creating a complex word in the Karakalpak language was developed. Using the developed mathematical model, a four-stage scheme was created for creating complex words of the Karakalpak …

Outcasts – In Search Of Identity, Syed Hasan Haider

MSJ Capstone Projects

The idea for this documentary came from a story published in the express tribune which talked about the people who are unable to vote in 2018 elections due to having Computerized National Identity Cards (CNICs) in the Ibrahim Hyderi locality in Karachi.

Not having a CNIC in Pakistan means that you are not able to participate in civic life and also not subscribe to basic facilitates like housing, water, gas and employment.

This documentary film looks at different cases and through the experience of some journalists what it is like to live as an undocumented citizen. The film also explores …

Front Matter

Journal of Digital Forensics, Security and Law

No abstract provided.

Enhancing Forensic-Tool Security With Rust: Development Of A String Extraction Utility, Jens Getreu, Olaf Maennel

Journal of Digital Forensics, Security and Law

The paper evaluates the suitability of the Rust ecosystem for forensic tool development. As a case study, a forensic tool named Stringsext is developed. Starting from analyzing the specefic requirements of forensic software in general and those of the present case study, all stages of the software development life-cycle are executed and evaluated. Stringsext is a re-implementation and enhancement of the GNU-strings tool, a widely used program in forensic investigations. Stringsext recognizes Cyrillic, CJKV East Asian characters and other scripts in all supported multi-byte-encodings while GNU-strings fails in finding these in UTF-16 and other encodings. During the case study it …

Research Methodology Adopted In Developing Tansse-L System, Ellen Kalinga

Tanzania Journal of Engineering and Technology (TJET)

Research methodology is among the very important part in a research work. It is the heart which describe the activities necessary for the completion of the research work. Research methodology provides a plan of investigation considered to obtain answers to research problems and it depends on the context of application. This paper presents the research methodology adopted when developing Tanzania Secondary Schools e-Learning (TanSSe-L) system, a learning management system (LMS) which was successfully developed through customization of Moodle open source LMS. TanSSe-L system is a context centered platform for secondary schools in Tanzania. TanSSe-L system was developed using a number …

Forensic Cell Site Analysis: Mobile Network Operator Evidence Integrity Maintenance Research, John B. Minor

Journal of Digital Forensics, Security and Law

Mobile Network Operator (MNO) and Mobile Virtual Network Operator (MVNO) evidence have become an important evidentiary focus in the courtroom. This type of evidence is routinely produced as business records under U.S. Federal Rules of Evidence for use in the emerging discipline of Forensic Cell Site Analysis. The research was undertaken to determine if evidence produced by operators should be classified as digital evidence and, if so, what evidence handling methodologies are appropriate to ensure evidence integrity. This research project resulted in the creation of a method of determining if business records produced by MNO/MVNO organizations are digital evidence and …

Examining The Correlates Of Failed Drdos Attacks, Thomas Hyslip, Thomas Holt

Journal of Digital Forensics, Security and Law

Over the last decade, there has been a rise in cybercrime services offered on a feefor- service basis, enabling individuals to direct attacks against various targets. One of the recent services offered involves stresser or booter operators, who offer distributed reflected denial of service (DRDoS) attacks on an hourly or subscription basis. These attacks involve the use of malicious traffic reflected off of webservers to increase the volume of traffic, which is directed toward websites and servers rendering them unusable. Researchers have examined DRDoS attacks using realtime data, though few have considered the experience of their customers and the factors …

Df 2.0: An Automated, Privacy Preserving, And Efficient Digital Forensic Framework That Leverages Machine Learning For Evidence Prediction And Privacy Evaluation, Robin Verma, Jayaprakash Govindaraj Dr, Saheb Chhabra, Gaurav Gupta

Journal of Digital Forensics, Security and Law

The current state of digital forensic investigation is continuously challenged by the rapid technological changes, the increase in the use of digital devices (both the heterogeneity and the count), and the sheer volume of data that these devices could contain. Although data privacy protection is not a performance measure, however, preventing privacy violations during the digital forensic investigation, is also a big challenge. With a perception that the completeness of investigation and the data privacy preservation are incompatible with each other, the researchers have provided solutions to address the above-stated challenges that either focus on the effectiveness of the investigation …

Beyond Labels And Captions: Contextualizing Grounded Semantics For Explainable Visual Interpretation, Sathyanarayanan Narasimhan Aakur

USF Tampa Graduate Theses and Dissertations

One of the long-standing problems in artificial intelligence is the development of intelligent agents with complete visual understanding. Understanding entails recognition of scene attributes such as actors, objects and actions as well as reasoning about the common semantic structure that combines these attributes into a coherent description. While significant milestones have been achieved in the field of computer vision, majority of the work has been concentrated on supervised visual recognition where complex visual representations are learned and a few discrete categories or labels are assigned to these representations. This implies a closed world where the underlying assumption is that all …

A Resource Constrained Shortest Paths Approach To Reducing Personal Pollution Exposure, Elling Payne

REU Final Reports

As wildfires surge in frequency and impact in the Pacific Northwest, in tandem with increasingly traffic-choked roads, personal exposure to harmful airborne pollutants is a rising concern. Particularly at risk are school-age children, especially those living in disadvantaged communities near major motorways and industrial centers. Many of these children must walk to school, and the choice of route can effect exposure. Route-planning applications and frameworks utilizing computational shortest paths methods have been proposed which consider personal exposure with reasonable success, but few have focused on pollution exposure, and all have been limited in scalability or geographic scope. This paper addresses …

Hadoop Performance Analysis Model With Deep Data Locality, Sungchul Lee, Ju-Yeon Jo, Yoohwan Kim

Computer Science Faculty Research

Background: Hadoop has become the base framework on the big data system via the simple concept that moving computation is cheaper than moving data. Hadoop increases a data locality in the Hadoop Distributed File System (HDFS) to improve the performance of the system. The network traffic among nodes in the big data system is reduced by increasing a data-local on the machine. Traditional research increased the data-local on one of the MapReduce stages to increase the Hadoop performance. However, there is currently no mathematical performance model for the data locality on the Hadoop. Methods: This study made the Hadoop performance …

Graph-Based Offline Signature Verification, Paul Maergner, Nicholas Howe, Kaspar Riesen, Andreas Fischer

Computer Science: Faculty Publications

Graphs provide a powerful representation formalism that offers great promise to benefit tasks like handwritten signature verification. While most state-of-the-art approaches to signature verification rely on fixed-size representations, graphs are flexible in size and allow modeling local features as well as the global structure of the handwriting. In this article, we present two recent graph-based approaches to offline signature verification: keypoint graphs with approximated graph edit distance and inkball models. We provide a comprehensive description of the methods, propose improvements both in terms of computational time and accuracy, and report experimental results for four benchmark datasets. The proposed methods achieve …

Efficient Gpu Tree Walks For Effective Distributed N-Body Simulations, Jianqiao Liu, Michael Robson, Thomas Quinn, Milind Kulkarni

Computer Science: Faculty Publications

N-body problems, such as simulating the motion of stars in a galaxy, are popularly solved using tree codes like Barnes-Hut. ChaNGa is a best-of-breed n-body platform that uses an asymptotically-efficient tree traversal strategy known as a dual-tree walk to quickly determine which bodies need to interact with each other to provide an accurate simulation result. However, this strategy does not work well on GPUs, due to the highly-irregular nature of the dual-tree algorithm. On GPUs, ChaNGa uses a hybrid strategy where the CPU performs the tree walk to determine which bodies interact while the GPU performs the force computation. In …

Could A Robot Be District Attorney?, Stephen Henderson

Other Faculty Publications

No abstract provided.

"Flagella Base Model" And "Flagellin Monomer", Brandon Lasalle, Rebecca Roston

3-D Printed Model Structural Files

"Flagella Base Model" and "Flagellin monomer"

Description: This is a teaching model of the proteins that make a bacterial flagella. All models are depicted in space-fill. The Flagellin monomer and the Flagella base can slot together to show protein quaternary structure and filamentous protein assembly.

Printable models are already uploaded to Shapeways.com in the MacroMolecules shop under the names "Flagella Base Model" and "Flagellin monomer".

This model has been printed successfully using these parameters on Shapeways’ laser sintering printer in the following material: Processed Versatile Plastic (Strong & Flexible Plastic).

Model designer: Brandon Lasalle Authors: Brandon Lasalle and Rebecca Roston …

Influence Spread In Two-Layer Interdependent Networks: Designed Single-Layer Or Random Two-Layer Initial Spreaders?, Hana Khamfroush, Nathaniel Hudson, Samuel Iloo, Mahshid R. Naeini

Computer Science Faculty Publications

Influence spread in multi-layer interdependent networks (M-IDN) has been studied in the last few years; however, prior works mostly focused on the spread that is initiated in a single layer of an M-IDN. In real world scenarios, influence spread can happen concurrently among many or all components making up the topology of an M-IDN. This paper investigates the effectiveness of different influence spread strategies in M-IDNs by providing a comprehensive analysis of the time evolution of influence propagation given different initial spreader strategies. For this study we consider a two-layer interdependent network and a general probabilistic threshold influence spread model …

The Challenges Of Digital Legacy Management On The Value Of Digital Objects To Older Australians, Derani Nathasha Dissanayake

Theses: Doctorates and Masters

People spend a considerable amount of time and money in collecting digital objects. Nine out of ten Australians have a social media account but 83% of them have not discussed with their family members what should happen to their social media accounts when they die (Steen, D’Alessandro, Graves, Perkins, Genders, Barbera, Shi, McGrath & Davis, 2017). Only 3% of Australians who had a Will included social media accounts in their Wills. People collect digital objects yet little attention is paid to their preservation. 71% of Australians are unaware of what happens to their digital assets when they die (Ibid, 2017). …

Inclusion Of Women In Computer Science, Naomi Johnson, Dr. Kevin Seppi

Journal of Undergraduate Research

Since the 1980’s, the percentage of computer science degrees awarded to women in the United States has fallen dramatically. There are growing numbers of men earning bachelor’s degrees in CS, and the numbers of women are increasing very slowly. For decades, researchers have been studying recruitment and retention of women and other minorities in CS, yet it is still not apparent what departments, professors, or students can do in order to get the numbers of women earning degrees in CS up again.

Measuring Influence Across Social Media Platforms: Empirical Analysis Using Symbolic Transfer Entropy, Abhishek Bhattacharjee

USF Tampa Graduate Theses and Dissertations

Social media platforms are interconnected environments that influence each other. Information from one social media platform spreads to another. This thesis proposes a platform-independent framework to analyze information transfer across social media platforms. This thesis uses Symbolic Transfer Entropy and Statistical Significance Test to measure influence and optimize the time window of influence between different platforms. To validate the framework, the thesis analyses the temporal activity dynamics and the information transfer across three different platforms, Reddit, Twitter and GitHub.

Two data driven studies are described in this thesis. The first study finds the optimum time windows of influence between the …

Use Of Amulet In Behavioral Change For Geriatric Obesity Management, John A. Batsis, Alexandra B. Zagaria, Ryan J. Halter, George G. Boateng, Patrick Proctor, Stephen J. Bartels, David Kotz

Dartmouth Scholarship

Background: Obesity in older adults is a significant public health concern. Weight-loss interventions are known to improve physical function but risk the development of sarcopenia. Mobile health devices have the potential to augment existing interventions and, if designed accordingly, could improve one’s physical activity and strength in routine physical activity interventions.

Methods and results: We present Amulet, a mobile health device that has the capability of engaging patients in physical activity. The purpose of this article is to discuss the development of applications that are tailored to older adults with obesity, with the intention to engage and improve their health. …

Incremental Data Annotation With Mask R-Cnn, Michael Miller

Theses and Dissertations

With the advent of object detection and instance segmentation algorithms, the complexity of annotating training data has compounded. In traditional image classification tasks, training images must only be given a label. This type of training data alone is not enough to perform detection or instance segmentation as we need additional object level information like bounding boxes or segmentation masks appended to the annotation. There are many tools that help a user process images to produce data annotations that contain bounding box and segmentation mask information. However, most of these are semi-supervised and require a user to be present for each …

Data-Driven Privacy-Preserving Communication, Ye Wang, Prakash Ishwar, Ardhendu S. Tripathy

Computer Science Faculty Research & Creative Works

A communication system including a receiver to receive training data. An input interface to receive input data coupled to a hardware processor and a memory. The hardware processor is configured to initialize the privacy module using the training data. Generate a trained privacy module, by iteratively optimizing an objective function. Wherein for each iteration the objective function is computed by a combination of a distortion of the useful attributes in the transformed data and of a mutual information between the sensitive attributes and the transformed data. Such that the mutual information is estimated by the auxiliary module that maximizes a …

Multi-Ontology Refined Embeddings (More): A Hybrid Multi-Ontology And Corpus-Based Semantic Representation For Biomedical Concepts, Steven Jiang

Dartmouth College Undergraduate Theses

Objective: Currently, a major limitation for natural language processing (NLP) analyses in clinical applications is that a concept can be referenced in various forms across different texts. This paper introduces Multi-Ontology Refined Embeddings (MORE), a novel hybrid framework for incorporating domain knowledge from various ontologies into a distributional semantic model, learned from a corpus of clinical text. This approach generates word embeddings that are more accurate and extensible for computing the semantic similarity of biomedical concepts than previous methods. Materials and Methods: We use the RadCore and MIMIC-III free-text datasets for the corpus-based component of MORE. For the ontology-based component, …