Databases and Information Systems Commons^™

Data Exfiltration Detection And Prevention: Virtually Distributed Pomdps For Practically Safer Networks, Sara Marie Mc Carthy, Arunesh Sinha, Milind Tambe, Pratyusa Manadhata

Research Collection School Of Computing and Information Systems

We address the challenge of detecting and addressing advanced persistent threats (APTs) in a computer network, focusing in particular on the challenge of detecting data exfiltration over Domain Name System (DNS) queries, where existing detection sensors are imperfect and lead to noisy observations about the network’s security state. Data exfiltration over DNS queries involves unauthorized transfer of sensitive data from an organization to a remote adversary through a DNS data tunnel to a malicious web domain. Given the noisy sensors, previous work has illustrated that standard approaches fail to satisfactorily rise to the challenge of detecting exfiltration attempts. Instead, we …

A Method Of Integrating Correlation Structures For A Generalized Recursive Route Choice Model, Tien Mai

Research Collection School Of Computing and Information Systems

We propose a way to estimate a generalized recursive route choice model. The model generalizes other existing recursive models in the literature, i.e., (Fosgerau et al., 2013b; Mai et al., 2015c), while being more flexible since it allows the choice at each stage to be any member of the network multivariate extreme value (network MEV) model (Daly and Bierlaire, 2006). The estimation of the generalized model requires defining a contraction mapping and performing contraction iterations to solve the Bellman’s equation. Given the fact that the contraction mapping is defined based on the choice probability generating functions (CPGF) (Fosgerau et al., …

Media Reinvented, Geoff Tan

Asian Management Insights

The brave new world of digital media.

Asean's Digital Economy, Naveen Menon

Asian Management Insights

Transforming industries, enriching lives and propelling progress.

Connecting India, Sam Pitroda

Asian Management Insights

Great inventions will not be born in the absence of the will and intent to embrace change and solve wideranging societal problems.

Hierarchical Visualization Of Video Search Results For Topic-Based Browsing, Yu-Gang Jiang, Jiajun Wang, Qiang Wang, Wei Liu, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Existing video search engines return a ranked list of videos for each user query, which is not convenient for browsing the results of query topics that have multiple facets, such as the "early life," "personal life," and "presidency" of a query "Barack Obama." Organizing video search results into semantically structured hierarchies with nodes covering different topic facets can significantly improve the browsing efficiency for such queries. In this paper, we introduce a hierarchical visualization approach for video search result browsing, which can help users quickly understand the multiple facets of a query topic in a very well-organized manner. Given a …

Content Sampling, Household Informedness, And The Consumption Of Digital Information Goods, Ai Phuong Hoang, Robert J. Kauffman

Research Collection School Of Computing and Information Systems

Technology and media are delivering content that is transforming society. Providers must compete for consumer attention to sell their digital information goods effectively. This is challenging, since there is a high level of uncertainty associated with the consumption of such goods. Service providers often use free programming to share product information. We examine the effectiveness of content sampling strategy used for on-demand series dramas, a unique class of entertainment goods. The data were extracted from a large set of household video-on-demand (VoD) viewing records and combined with external data sources. We extended a propensity score matching (PSM) approach to handle …

Cost Sensitive Online Multiple Kernel Classification, Doyen Sahoo, Peilin Zhao, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

Learning from data streams has been an important open research problem in the era of big data analytics. This paper investigates supervised machine learning techniques for mining data streams with application to online anomaly detection. Unlike conventional machine learning tasks, machine learning from data streams for online anomaly detection has several challenges: (i) data arriving sequentially and increasing rapidly, (ii) highly class-imbalanced distributions; and (iii) complex anomaly patterns that could evolve dynamically.To tackle these challenges, we propose a novel Cost-Sensitive Online Multiple Kernel Classification (CSOMKC) scheme for comprehensively mining data streams and demonstrate its application to online anomaly detection. Specifically, …

Learning Sentence Embeddings With Auxiliary Tasks For Cross-Domain Sentiment Classification, Jianfei Yu, Jing Jiang

Research Collection School Of Computing and Information Systems

In this paper, we study cross-domain sentiment classification with neural network architectures. We borrow the idea from Structural Correspondence Learning and use two auxiliary tasks to help induce a sentence embedding that supposedly works well across domains for sentiment classification. We also propose to jointly learn this sentence embedding together with the sentiment classifier itself. Experiment results demonstrate that our proposed joint model outperforms several state-of-the-art methods on five benchmark datasets.

M(2)-Abks: Attribute-Based Multi-Keyword Search Over Encrypted Personal Health Records In Multi-Owner Setting, Yinbin Miao, Jianfeng Ma, Ximeng Liu, Fushan Wei, Zhiquan Liu, Xu An Wang

Research Collection School Of Computing and Information Systems

Online personal health record (PHR) is more inclined to shift data storage and search operations to cloud server so as to enjoy the elastic resources and lessen computational burden in cloud storage. As multiple patients' data is always stored in the cloud server simultaneously, it is a challenge to guarantee the confidentiality of PHR data and allow data users to search encrypted data in an efficient and privacy-preserving way. To this end, we design a secure cryptographic primitive called as attribute-based multi-keyword search over encrypted personal health records in multi-owner setting to support both fine-grained access control and multi-keyword search …

Landmark Reranking For Smart Travel Guide Systems By Combining And Analyzing Diverse Media, Junge Shen, Jialie Shen, Tao Mei, Xinbo Gao

Research Collection School Of Computing and Information Systems

Advanced networking technologies and massive online social media have stimulated a booming growth of travel heterogeneous information in recent years. By employing such information, smart travel guide systems, such as landmark ranking systems, have been proposed to offer diverse online travel services. It is essential for a landmark ranking system to structure, analyze, and search the travel heterogeneous information to produce human-expected results. Therefore, currently the most fundamental yet challenging problems can be concluded: 1) how to fuse heterogeneous tourism information and 2) how to model landmark ranking. In this paper, a novel landmark search system is introduced based on …

Spiteful, One-Off, And Kind: Predicting Customer Feedback Behavior On Twitter, Agus Sulistya, Abhishek Sharma, David Lo

Research Collection School Of Computing and Information Systems

Social media provides a convenient way for customers to express their feedback to companies. Identifying different types of customers based on their feedback behavior can help companies to maintain their customers. In this paper, we use a machine learning approach to predict a customer’s feedback behavior based on her first feedback tweet. First, we identify a few categories of customers based on their feedback frequency and the sentiment of the feedback. We identify three main categories: spiteful, one-off, and kind. Next, we build a model to predict the category of a customer given her first feedback. We use profile and …

On Profiling Bots In Social Media, Richard J. Oentaryo, Arinto Murdopo, Philips K. Prasetyo, Ee Peng Lim

Research Collection School Of Computing and Information Systems

The popularity of social media platforms such as Twitter has led to the proliferation of automated bots, creating both opportunities and challenges in information dissemination, user engagements, and quality of services. Past works on profiling bots had been focused largely on malicious bots, with the assumption that these bots should be removed. In this work, however, we find many bots that are benign, and propose a new, broader categorization of bots based on their behaviors. This includes broadcast, consumption, and spam bots. To facilitate comprehensive analyses of bots and how they compare to human accounts, we develop a systematic profiling …

Summarization Of Egocentric Videos: A Comprehensive Survey, Ana Garcia Del Molino, Cheston Tan, Joo-Hwee Lim, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

The introduction of wearable video cameras (e.g., GoPro) in the consumer market has promoted video life-logging, motivating users to generate large amounts of video data. This increasing flow of first-person video has led to a growing need for automatic video summarization adapted to the characteristics and applications of egocentric video. With this paper, we provide the first comprehensive survey of the techniques used specifically to summarize egocentric videos. We present a framework for first-person view summarization and compare the segmentation methods and selection algorithms used by the related work in the literature. Next, we describe the existing egocentric video datasets …

Aspect-Based Helpfulness Prediction For Online Product Reviews, Yinfei Yang, Cen Chen, Forrest Sheng Bao

Research Collection School Of Computing and Information Systems

Product reviews greatly influence purchase decisions in online shopping. A common burden of online shopping is that consumers have to search for the right answers through massive reviews, especially on popular products. Hence, estimating and predicting the helpfulness of reviews become important tasks to directly improve shopping experience. In this paper, we propose a new approach to helpfulness prediction by leveraging aspect analysis of reviews. Our hypothesis is that a helpful review will cover many aspects of a product at different emphasis levels. The first step to tackle this problem is to extract proper aspects. Because related products share common …

Why Consumers Disclose Their Tourism Experiences On Tourism Social Networking Sites: Multiple Theoretical Perspectives, Junshu Zhang

USF Tampa Graduate Theses and Dissertations

Tourism social networking sites (SNSs) are websites that provide users with templates for describing their travel experiences and an infrastructure to share such travel posts with a network of like-minded individuals. Tourism SNSs represent an important advertising channel for the tourism industry, as they may assist travelers in selecting destinations and planning vacations on the basis of other travelers’ experiences, which may further stimulate travel and generate income for the tourism industry (Yazdanifard & Yee, 2014). User-generated content (UGC) in the form of travel posts is the core offering and key success factor of tourism SNSs. Travel posts constitute a …

The Implementation Of Information Systems In Network Administration: The Improvement Of Intranet Utilization In Higher Education Institutions, Besnik Skenderi, Murat Retkoceri, Rina Sadriu

UBT International Conference

Management Information systems or MIS broadly refers to a Computer system of Information that provides manager the tool to organize, Asses and manage efficiently departments within an organization.

Information System Management serves to assist in the more effective and efficient management of information. These systems make possible the production and preservation.

Nowadays the business, institutions and organization use MIS to certain functions or the entire organization. Some of the most important applicants are in dimensions or functions such as human resources, finance, marketing, manufacturing, asset management etc.

The primary definition shows that the primary task of management information system (MIS. …

The Importance Of Big Data Analytics, Eljona Proko

UBT International Conference

Identified as the tendency of IT, Big Data gained global attention. Advances in data analytics are changing the way businesses compete, enabling them to make faster and better decisions based on real-time analysis. Big Data introduces a new set of challenges. Three characteristics define Big Data: volume, variety, and velocity. Big Data requires tools and methods that can be applied to analyze and extract patterns from large-scale data. Companies generate enormous volumes of poly-structured data from Web, social network posts, sensors, mobile devices, emails, and many other sources. Companies need a cost-effective, massively scalable solution for capturing, storing, and analyzing …

Improving Business Networking Through The Effective Utilisation Of Information Systems, Ylber Limani

UBT International Conference

This Research addresses topics concerned with the enterprise models and information systems. The research is divided into two parts, in the first part is conducted the examination of business information systems in general, while in the second part the main factors of business networking are investigated.

The existing operational business practices and Information Technology infrastructure are not sufficiently used of efficiently sustain the effective business networking. A methodical analysis of the operational systems is performed in order to cover the main elements of the Information Systems and their utilisation for business needs. The implementation of a most important information business …

Traditional Mathematics And New Methods Of Teaching Through Programming Together With Students, Robert Kosova, Teuta Thanasi, Lindita Mukli, Loreta Nakuçi Pëllumbi

UBT International Conference

We are used to the traditional methods of teaching mathematics. The textbook, the blackboard and a chalk have been for centuries a wonderful part of teaching. And, they always will be. Traditional teaching methods of mathematics are a wonderful legacy of our educational system that have educated generations of teachers, engineers, administrators, managers, leaders, and economists. American universities websites, the video- lectures of the best professors of well-known disciplines such as statistics, operational research, number theory, algebra, game theory, show impressing large blackboards, all over the auditor's walls. We always will need and admire traditional mathematics. But, beyond the lessons, …

Cloud Computing And Enterprise Data Reliability, Luan Gashi

UBT International Conference

Cloud services offer many benefits from information and communication technology that to be credible must first be secured. To use the potential of cloud computing, data is transferred, processed and stored in the infrastructures of these service providers. This indicates that the owners of data, particularly enterprises, have puzzled when storing their data is done outside the scope of their control.

Research conducted on this topic show how this should be addressed unequivocally. The provided information on the organization of cloud computing models, services and standards, with a focus on security aspects in protecting enterprise data where emphasis shows how …

The Role Of Knowledge Management In The Information System, Sejdi Xhemaili

UBT International Conference

We are living in a world in which the knowledge is a precious commodity. The fast pace of the development of the companies both for trade and service require management of the acquired knowledge in the best possible way.

This paper would show the influence of the knowledge management in the information system that is what is achieved when knowledge management itself is applied to the information system. The accumulated knowledge in terms of innovation, management of the staff and its training, competitiveness on the wide market and improvement of the level of the business processes and performance tend to …

Some Propositions About Inverse Semigroups, Osman Hysa, Arben Reka

UBT International Conference

The inverse semigroups are semigroups studied by many algebraists. In this paper we will formulate and prove some other propositions on these semigroups. So we will prove two propositions concerning the closure of a subsemigroup of a given inverse semigroup S, within the meaning introduced by Schein in 1962, two propositions on the group congruence on a normal subsemigroup of the inverse semigroup S, and a proposition about closed subsemigroup assertion of an inverse semigroup S.

Some Issues In The Testing Of Computer Simulation Models, David J. Murray-Smith

UBT International Conference

The testing of simulation models has much in common with testing processes in other types of application involving software development. However, there are also important differences associated with the fact that simulation model testing involves two distinct aspects, which are known as verification and validation. Model validation is concerned with investigation of modelling errors and model limitations while verification involves checking that the simulation program is an accurate representation of the mathematical and logical structure of the underlying model. Success in model validation depends upon the availability of detailed information about all aspects of the system being modelled. It also …

Women On The Board Of Directors And Their Impact On The Financial Performance Of A Firm: An Empirical Investigation Of Female Directors In The United States Technology Sector, Obinna Mogbogu

Theses and Dissertations

This study uses a sample of S&P 500 firms in the United States technology sector to investigate the likely relationship between female directors and financial performance of firms measured by return on average assets and return on average equity as the two accounting based measures of performance. Reasonable theoretical arguments drawn from resource dependency, human capital, agency, and social psychology theory, suggests that the gender diversity of the board of directors may have either a positive, negative, or neutral effect on the financial performance of the firm. Using nonparametric statistics approach, we find a small negative relationship between female directors …

Github: An Introduction, Craig A. Boman

Roesch Library Staff Presentations

Tech startups have been using version control software to maximize their collaborative technology projects since their inception, but what more can librarians do to leverage this suite of tools? In this presentation, we will briefly describe how version control apps like Github may drastically improve technology collaborations in your library, specifically ILS web refreshes. After the Github introduction, those who participated in the pre-conference "hackathon" session will discuss their projects and talk about the successes and challenges they encountered.

Active Snort Rules And The Needs For Computing Resources: Computing Resources Needed To Activate Different Numbers Of Snort Rules, Chad A. Arney, Xinli Wang

School of Technology Publications

This project was designed to discover the relationship between the number of enabled rules maintained by Snort and the amount of computing resources necessary to operate this intrusion detection system (IDS) as a sensor. A physical environment was set up to loosely simulate a network and an IDS sensor monitoring it.

The experiment was conducted in five trials. A different number of Snort rules was enabled in each trial and the corresponding utilization of computing resources was measured. Remarkable variation and a clear trend of CPU usage were observed in the experiment.

Mabic: Mobile Application Builder For Interactive Communication, Huy Manh Nguyen

Masters Theses & Specialist Projects

Nowadays, the web services and mobile technology advance to a whole new level. These technologies make the modern communication faster and more convenient than the traditional way. People can also easily share data, picture, image and video instantly. It also saves time and money. For example: sending an email or text message is cheaper and faster than a letter. Interactive communication allows the instant exchange of feedback and enables two-way communication between people and people, or people and computer. It increases the engagement of sender and receiver in communication.

Although many systems such as REDCap and Taverna are built for …

Fast And Adaptive Indexing Of Multi-Dimensional Observational Data, Sheng Wang, David Maier, Beng Chin Ooi

Computer Science Faculty Publications and Presentations

Sensing devices generate tremendous amounts of data each day, which include large quantities of multi-dimensional measurements. These data are expected to be immediately available for real-time analytics as they are streamed into storage. Such scenarios pose challenges to state-of-the-art indexing methods, as they must not only support efficient queries but also frequent updates. We propose here a novel indexing method that ingests multi-dimensional observational data in real time. This method primarily guarantees extremely high throughput for data ingestion, while it can be continuously refined in the background to improve query efficiency. Instead of representing collections of points using Minimal Bounding …

Development And Semantic Exploitation Of A Relational Data Model For Service Delivery In South African Municipalities, Kgotatso Desmond Mogotlane, Jean Vincent Fonou Dombeu

The African Journal of Information Systems

Relational databases (RDB) are the main sources of structured data for government institutions and businesses. Since these databases are dependent on autonomous hardware and software they create problems of data integration and interoperability. Solutions have been proposed to convert RDB into ontology to enable their sharing, reuse and integration on the Semantic Web. However, the proposed methods and techniques remain highly technical and there is lack of research that focuses on the empirical application of these methods and techniques in information systems (IS) domains. This study develops and semantically exploits a relational data model of the South African Municipalities Information …