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Efficient Hidden Vector Encryption With Constant-Size Ciphertext, Tran Viet Xuan Phuong, Guomin Yang, Willy Susilo Sep 2014

Efficient Hidden Vector Encryption With Constant-Size Ciphertext, Tran Viet Xuan Phuong, Guomin Yang, Willy Susilo

Research Collection School Of Computing and Information Systems

A Hidden Vector Encryption (HVE) scheme is a special type of anonymous identity-based encryption (IBE) scheme where the attribute string associated with the ciphertext or the user secret key can contain wildcards. In this paper, we introduce two constant-size ciphertext-policy hidden vector encryption (CP-HVE) schemes. Our first scheme is constructed on composite order bilinear groups, while the second one is built on prime order bilinear groups. Both schemes are proven secure in a selective security model which captures plaintext (or payload) and attribute hiding. To the best of our knowledge, our schemes are the first HVE constructions that can achieve …

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Privatedroid: Private Browsing Mode For Android, Su Mon Kywe, Christopher Landis, Yutong Pei, Justin Satterfield, Yuan Tian, Patrick Tague Sep 2014

Privatedroid: Private Browsing Mode For Android, Su Mon Kywe, Christopher Landis, Yutong Pei, Justin Satterfield, Yuan Tian, Patrick Tague

Research Collection School Of Computing and Information Systems

Private browsing mode is a privacy feature adopted by many modern computer browsers. With the increased use of mobile devices and escalating privacy concerns for mobile users, browser applications on mobile devices have also started incorporating private browsing mode. Even so, the use of private browsing mode is limited to the browser applications and cannot be applied directly on other third-party mobile applications. In this paper, we propose PrivateDroid, which provides a private browsing mode for third-party applications on the Android platform. First, we discuss three possible approaches of implementing mobile private browsing mode: code instrumentation, an extra sandbox, and …

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Towards Rigorously Faking Bidirectional Model Transformations, Christopher M. Poskitt, Mike Dodds, Richard F. Paige, Arend Rensink Sep 2014

Towards Rigorously Faking Bidirectional Model Transformations, Christopher M. Poskitt, Mike Dodds, Richard F. Paige, Arend Rensink

Research Collection School Of Computing and Information Systems

Bidirectional model transformations (bx) are mechanisms for automatically restoring consistency between multiple concurrently modified models. They are, however, challenging to implement; many model transformation languages not supporting them at all. In this paper, we propose an approach for automatically obtaining the consistency guarantees of bx without the complexities of a bx language. First, we show how to "fake" true bidirectionality using pairs of unidirectional transformations and inter-model consistency constraints in Epsilon. Then, we propose to automatically verify that these transformations are consistency preserving – thus indistinguishable from true bx – by defining translations to graph rewrite rules and nested conditions, …

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Automatic Early Defects Detection In Use Case Documents, Shuang Liu, Jun Sun, Yang Liu, Yue Zhang, Bimlesh Wadhwa, Jin Song Dong, Xinyu Wang Sep 2014

Automatic Early Defects Detection In Use Case Documents, Shuang Liu, Jun Sun, Yang Liu, Yue Zhang, Bimlesh Wadhwa, Jin Song Dong, Xinyu Wang

Research Collection School Of Computing and Information Systems

Use cases, as the primary techniques in the user requirement analysis, have been widely adopted in the requirement engineering practice. As developed early, use cases also serve as the basis for function requirement development, system design and testing. Errors in the use cases could potentially lead to problems in the system design or implementation. It is thus highly desirable to detect errors in use cases. Automatically analyzing use case documents is challenging primarily because they are written in natural languages. In this work, we aim to achieve automatic defect detection in use case documents by leveraging on advanced parsing techniques. …

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Sharing Political News: The Balancing Act Of Intimacy And Socialization In Selective Exposure, Jisun An, Daniele Quercia, Meeyoung Cha, Krishna Gummadi, Jon Crowcroft Sep 2014

Sharing Political News: The Balancing Act Of Intimacy And Socialization In Selective Exposure, Jisun An, Daniele Quercia, Meeyoung Cha, Krishna Gummadi, Jon Crowcroft

Research Collection School Of Computing and Information Systems

One might think that, compared to traditional media, social media sites allow people to choose more freely what to read and what to share, especially for politically oriented news. However, reading and sharing habits originate from deeply ingrained behaviors that might be hard to change. To test the extent to which this is true, we propose a Political News Sharing (PoNS) model that holistically captures four key aspects of social psychology: gratification, selective exposure, socialization, and trust & intimacy. Using real instances of political news sharing in Twitter, we study the predictive power of these features. As one might expect, …

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Saliency Detection With Flash And No-Flash Image Pairs, Shengfeng He, Rynson W.H. Lau Sep 2014

Saliency Detection With Flash And No-Flash Image Pairs, Shengfeng He, Rynson W.H. Lau

Research Collection School Of Computing and Information Systems

In this paper, we propose a new saliency detection method using a pair of flash and no-flash images. Our approach is inspired by two observations. First, only the foreground objects are significantly brightened by the flash as they are relatively nearer to the camera than the background. Second, the brightness variations introduced by the flash provide hints to surface orientation changes. Accordingly, the first observation is explored to form the background prior to eliminate background distraction. The second observation provides a new orientation cue to compute surface orientation contrast. These photometric cues from the two observations are independent of visual …

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Authorized Keyword Search On Encrypted Data, Jie Shi, Junzuo Lai, Yingjiu Li, Huijie Robert Deng, Jian Weng Sep 2014

Authorized Keyword Search On Encrypted Data, Jie Shi, Junzuo Lai, Yingjiu Li, Huijie Robert Deng, Jian Weng

Research Collection School Of Computing and Information Systems

Cloud computing has drawn much attention from research and industry in recent years. Plenty of enterprises and individuals are outsourcing their data to cloud servers. As those data may contain sensitive information, it should be encrypted before outsourced to cloud servers. In order to ensure that only authorized users can search and further access the encrypted data, two important capabilities must be supported: keyword search and access control. Recently, rigorous efforts have been made on either keyword search or access control over encrypted data. However, to the best of our knowledge, there is no encryption scheme supporting both capabilities in …

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Interestingness-Driven Diffussion Process Summarization In Dynamic Networks, Qiang Qu, Siyuan Liu, Christian Jensen, Feida Zhu, Christos Faloutsos Sep 2014

Interestingness-Driven Diffussion Process Summarization In Dynamic Networks, Qiang Qu, Siyuan Liu, Christian Jensen, Feida Zhu, Christos Faloutsos

Research Collection School Of Computing and Information Systems

The widespread use of social networks enables the rapid diffusion of information, e.g., news, among users in very large communities. It is a substantial challenge to be able to observe and understand such diffusion processes, which may be modeled as networks that are both large and dynamic. A key tool in this regard is data summarization. However, few existing studies aim to summarize graphs/networks for dynamics. Dynamic networks raise new challenges not found in static settings, including time sensitivity and the needs for online interestingness evaluation and summary traceability, which render existing techniques inapplicable. We study the topic of dynamic …

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Phaser: Enabling Phased Array Signal Processing On Commodity Wifi Access Points, Jon Gjengset, Jie Xiong, Graeme Mcphilips, Kyle Jamieson Sep 2014

Phaser: Enabling Phased Array Signal Processing On Commodity Wifi Access Points, Jon Gjengset, Jie Xiong, Graeme Mcphilips, Kyle Jamieson

Research Collection School Of Computing and Information Systems

Signal processing on antenna arrays has received much recent attention in the mobile and wireless networking research communities, with array signal processing approaches addressing the problems of human movement detection, indoor mobile device localization, and wireless network security. However, there are two important challenges inherent in the design of these systems that must be overcome if they are to be of practical use on commodity hardware. First, phase differences between the radio oscillators behind each antenna can make readings unusable, and so must be corrected in order for most techniques to yield high-fidelity results. Second, while the number of antennas …

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The Meaning And Scope Of Personal Data Under The Singapore Data Protection Act, Warren B. Chik, Keep Ying Joey Pang Sep 2014

The Meaning And Scope Of Personal Data Under The Singapore Data Protection Act, Warren B. Chik, Keep Ying Joey Pang

Research Collection Yong Pung How School Of Law

It is important to examine and determine the meaning of “personal data” as it is the subject matter of the Singapore Data Protection regime. What constitutes “personal data” determines the scope of the Personal Data Protection Act. Although it is defined under the Act, the experience in other jurisdictions has shown that the elements of that (and other forms of ) definition can still give rise to some difficulty in its application to specific cases. In this paper, the authors aim to provide some guidance and recommendations for the interpretation of “personal data” within the context of legislative intent and …

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How Can Banks Use Big Data?, Singapore Management University Aug 2014

How Can Banks Use Big Data?, Singapore Management University

Perspectives@SMU

Banks can recommend better use of money for customers, but data security is crucial

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Heuristic Rules In The Field: Evidence From Royalty Shares In Scientific Teams, Reddi Kotha, Dan Lovallo Aug 2014

Heuristic Rules In The Field: Evidence From Royalty Shares In Scientific Teams, Reddi Kotha, Dan Lovallo

Research Collection Lee Kong Chian School of Business

Using field data from a large U.S. technology transfer organization with over $50 million in annual revenue, we investigate four related issues regarding the sharing of licensing revenues by academic teams. First, we find that the main empirical regularity is a heuristic-based allocation of shares 1/n, equal shares to all unique inventors in a single invention team, and the use of the partition dependence (PD) rule, whereby inventors receive equal share within an invention and shares across inventions included in the same contract are equal. Second, when we examine the performance consequences of such equal sharing, we find it is …

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The New Lyrics Of The Old Folks: The Role Of Family Ownership In Corporate Innovation, Po-Hsuan Hsu, Sterling Huang, Massimo Massa, Hong Zhang Aug 2014

The New Lyrics Of The Old Folks: The Role Of Family Ownership In Corporate Innovation, Po-Hsuan Hsu, Sterling Huang, Massimo Massa, Hong Zhang

Research Collection School Of Accountancy

According to conventional wisdom, family ownership, which signals a lack of social capital and trust in an economy, may impede innovation. This argument, however, fails to recognize that modern family firms can benefit from capitalist institutions that promote innovation. Using a comprehensive sample of U.S. family-owned public firms and patents for the period from 2000 to 2010, we show that family ownership promotes innovation and that this positive effect can be attributed to reduced financial constraints, a greater commitment to long-term value, and improved corporate governance. Causality is confirmed by an instrumental variable analysis using the state-level divorce rate and …

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Audit Adjustments Matter: Upholding Financial Reporting Quality, Themin Suwardy, Jean Lin Seow, Chu Yeong Lim Aug 2014

Audit Adjustments Matter: Upholding Financial Reporting Quality, Themin Suwardy, Jean Lin Seow, Chu Yeong Lim

Research Collection School Of Accountancy

This study investigates the characteristics, nature and extent of proposed audit adjustments to the financial statements of companies listed in Singapore. Data were gathered from the 2013 audits of 257 listed companies in Singapore, with aggregate market capitalisation of $288.3 billion.

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Default Standards For Non-Absolute Obligation Clauses: Ks Energy V Br Energy Electricity Generation V Woodside Energy, Man Yip, Yihan Goh Aug 2014

Default Standards For Non-Absolute Obligation Clauses: Ks Energy V Br Energy Electricity Generation V Woodside Energy, Man Yip, Yihan Goh

Research Collection Yong Pung How School Of Law

A “reasonable endeavours” undertaking, and its variants, are common features of commercial contracts. These clauses might be inserted into agreements to balance the interests of the parties where the achievement of the contractual object involves conditions beyond the obligor’s control, for example, the procurement of a third party’s performance. Equally common is the insertion of these clauses into contracts to resolve a negotiation stalemate where one party refuses to promise the absolute achievement of the contractual objective.

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Facial Features And The Effectiveness Of Apology, Michal Franc Aug 2014

Facial Features And The Effectiveness Of Apology, Michal Franc

Dissertations and Theses Collection (Open Access)

Apology is an important tool for the maintenance of positive and cooperative relationships in the workplace. This paper reviews the existing research in the field of apology, and identifies four main components of apology. It uses impression management theory and signaling theory to explain the effect of apology. In addition, it proposes moderating effect of the offender's facial dominance on the effectiveness of apology. Specifically, previous research (e.g., Perrett et al., 1998) found that people with high facial dominance are less trustworthy, which suggests that apology may act as an equalizer between people with high and low facial dominance. Through …

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The Too-Much-Talent Effect: Team Interdependence Determines When More Talent Is Too Much Or Not Enough, Roderick I. Swaab, Michael Schaerer, Eric M. Anicich, Richard Ronay, Adam D. Galinsky Aug 2014

The Too-Much-Talent Effect: Team Interdependence Determines When More Talent Is Too Much Or Not Enough, Roderick I. Swaab, Michael Schaerer, Eric M. Anicich, Richard Ronay, Adam D. Galinsky

Research Collection Lee Kong Chian School Of Business

Five studies examined the relationship between talent and team performance. Two survey studies found that people believe there is a linear and nearly monotonic relationship between talent and performance: Participants expected that more talent improves performance and that this relationship never turns negative. However, building off research on status conflicts, we predicted that talent facilitates performance—but only up to a point, after which the benefits of more talent decrease and eventually become detrimental as intrateam coordination suffers. We also predicted that the level of task interdependence is a key determinant of when more talent is detrimental rather than beneficial. Three …

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Challenges In The Enforcement Of Animal Protection Laws In Singapore, Alvin W. L. See Aug 2014

Challenges In The Enforcement Of Animal Protection Laws In Singapore, Alvin W. L. See

Research Collection Yong Pung How School Of Law

Singapore has fairly powerful animal protection laws. In practice, however, these laws are only powerful to the extent that they are actually enforced. In Singapore, the low number of prosecutions for animal cruelty is a cause for serious concern. While there can be a myriad of reasons for this phenomenon, this paper argues that one primary cause is the insufficient understanding of what amounts, or may amount, to cruelty at law. This results in an unsound enforcement policy which reduces the protection afforded to animals. By highlighting this problem, this paper hopes to draw attention to the importance of the …

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Specification Test For Panel Data Models With Interactive Fixed Effects, Liangjun Su, Sainan Jin, Yonghui Zhang Aug 2014

Specification Test For Panel Data Models With Interactive Fixed Effects, Liangjun Su, Sainan Jin, Yonghui Zhang

Research Collection School Of Economics

In this paper, we propose a consistent nonparametric test for linearity in a large dimensional panel data model with interactive fixed effects. Both lagged dependent variables and conditional heteroskedasticity of unknown form are allowed in the model. We estimate the model under the null hypothesis of linearity to obtain the restricted residuals which are then used to construct the test statistic. We show that after being appropriately centered and standardized, the test statistic is asymptotically normally distributed under both the null hypothesis and a sequence of Pitman local alternatives by using the concept of conditional strong mixing that was recently …

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Jackknife Model Averaging For Quantile Regressions, Xun Lu, Liangjun Su Aug 2014

Jackknife Model Averaging For Quantile Regressions, Xun Lu, Liangjun Su

Research Collection School Of Economics

In this paper, we consider the problem of frequentist model averaging for quantile regression (QR) when all the M models under investigation are potentially misspecified and the number of parameters in some or all models is diverging with the sample size n. To allow for the dependence between the error terms and the regressors in the QR models, we propose a jackknife model averaging (JMA) estimator which selects the weights by minimizing a leave-one-out cross-validation criterion function and demonstrate that the jackknife selected weight vector is asymptotically optimal in terms of minimizing the out-of-sample final prediction error among the given …

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Identifying Latent Structures In Panel Data, Liangjun Su, Zhentao Shi, Peter C. B. Phillips Aug 2014

Identifying Latent Structures In Panel Data, Liangjun Su, Zhentao Shi, Peter C. B. Phillips

Research Collection School Of Economics

This paper provides a novel mechanism for identifying and estimating latent group structures in panel data using penalized regression techniques. We focus on linear models where the slope parameters are heterogeneous across groups but homogenous within a group and the group membership is unknown. Two approaches are considered — penalized least squares (PLS) for models without endogenous regressors, and penalized GMM (PGMM) for models with endogeneity. In both cases we develop a new variant of Lasso called classifier-Lasso (C-Lasso) that serves to shrink individual coefficients to the unknown group-specific coefficients. C-Lasso achieves simultaneous classification and consistent estimation in a single …

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Econometric Analysis Of Continuous Time Models: A Survey Of Peter Phillips' Work And Some New Results, Jun Yu Aug 2014

Econometric Analysis Of Continuous Time Models: A Survey Of Peter Phillips' Work And Some New Results, Jun Yu

Research Collection School Of Economics

Econometric analysis of continuous time models has drawn the attention of Peter Phillips for 40 years, resulting in many important publications by him. In these publications he has dealt with a wide range of continuous time models and the associated econometric problems. He has investigated problems from univariate equations to systems of equations, from asymptotic theory to finite sample issues, from parametric models to nonparametric models, from identification problems to estimation and inference problems, from stationary models to nonstationary and nearly nonstationary models. This paper provides an overview of Peter Phillips' contributions in the continuous time econometrics literature. We review …

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Robustify Financial Time Series Forecasting With Bagging, Sainan Jin, Liangjun Su, Aman Ullah Aug 2014

Robustify Financial Time Series Forecasting With Bagging, Sainan Jin, Liangjun Su, Aman Ullah

Research Collection School Of Economics

In this paper we propose a revised version of (bagging) bootstrap aggregating as a forecast combination method for the out-of-sample forecasts in time series models. The revised version explicitly takes into account the dependence in time series data and can be used to justify the validity of bagging in the reduction of mean squared forecast error when compared with the unbagged forecasts. Monte Carlo simulations show that the new method works quite well and outperforms the traditional one-step-ahead linear forecast as well as the nonparametric forecast in general, especially when the in-sample estimation period is small. We also find that …

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A Combined Approach To The Inference Of Conditional Factor Models, Yan Li, Liangjun Su, Yuewu Xu Aug 2014

A Combined Approach To The Inference Of Conditional Factor Models, Yan Li, Liangjun Su, Yuewu Xu

Research Collection School Of Economics

This paper develops a new methodology for estimating and testing conditional factor models in finance. We propose a two-stage procedure that naturally unifies the two existing approaches in the finance literature -- the parametric approach and the nonparametric approach. Our combined approach possesses important advantages over both methods. Using our two-stage combined estimator, we derive new test statistics for investigating key hypotheses in the context of conditional factor models. Our tests can be performed on a single asset or jointly across multiple assets. We further propose a novel test to directly check whether the parametric model used in our first …

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Shrinkage Estimation Of Regression Models With Multiple Structural Changes, Junhui Qian, Liangjun Su Aug 2014

Shrinkage Estimation Of Regression Models With Multiple Structural Changes, Junhui Qian, Liangjun Su

Research Collection School Of Economics

In this paper we consider the problem of determining the number of structural changes in multiple linear regression models via group fused Lasso (least absolute shrinkage and selection operator). We show that with probability tending to one our method can correctly determine the unknown number of breaks and the estimated break dates are sufficiently close to the true break dates. We obtain estimates of the regression coefficients via post Lasso and establish the asymptotic distributions of the estimates of both break ratios and regression coefficients. We also propose and validate a data-driven method to determine the tuning parameter. Monte Carlo …

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Jointly Modeling Aspects, Ratings And Sentiments For Movie Recommendation (Jmars), Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, Chong Wang Aug 2014

Jointly Modeling Aspects, Ratings And Sentiments For Movie Recommendation (Jmars), Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, Chong Wang

Research Collection School Of Computing and Information Systems

Recommendation and review sites offer a wealth of information beyond ratings. For instance, on IMDb users leave reviews, commenting on different aspects of a movie (e.g. actors, plot, visual effects), and expressing their sentiments (positive or negative) on these aspects in their reviews. This suggests that uncovering aspects and sentiments will allow us to gain a better understanding of users, movies, and the process involved in generating ratings. The ability to answer questions such as “Does this user care more about the plot or about the special effects?” or ”What is the quality of the movie in terms of acting?” …

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Automatic Fine-Grained Issue Report Reclassification, Pavneet Singh Kochhar, Ferdian Thung, David Lo Aug 2014

Automatic Fine-Grained Issue Report Reclassification, Pavneet Singh Kochhar, Ferdian Thung, David Lo

Research Collection School Of Computing and Information Systems

Issue tracking systems are valuable resources during software maintenance activities. These systems contain different categories of issue reports such as bug, request for improvement (RFE), documentation, refactoring, task etc. While logging issue reports into a tracking system, reporters can indicate the category of the reports. Herzig et al. Recently reported that more than 40% of issue reports are given wrong categories in issue tracking systems. Among issue reports that are marked as bugs, more than 30% of them are not bug reports. The misclassification of issue reports can adversely affects developers as they then need to manually identify the categories …

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Collaborative Online Multitask Learning, Guangxia Li, Steven C. H. Hoi, Kuiyu Chang, Wenting Liu, Ramesh Jain Aug 2014

Collaborative Online Multitask Learning, Guangxia Li, Steven C. H. Hoi, Kuiyu Chang, Wenting Liu, Ramesh Jain

Research Collection School Of Computing and Information Systems

We study the problem of online multitask learning for solving multiple related classification tasks in parallel, aiming at classifying every sequence of data received by each task accurately and efficiently. One practical example of online multitask learning is the micro-blog sentiment detection on a group of users, which classifies micro-blog posts generated by each user into emotional or non-emotional categories. This particular online learning task is challenging for a number of reasons. First of all, to meet the critical requirements of online applications, a highly efficient and scalable classification solution that can make immediate predictions with low learning cost is …

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A Palm Vein Identification System Based On Gabor Wavelet Features, Ran Wang, Guoyou Wang, Zhong Chen, Zhigang Zeng, Yong Wang Aug 2014

A Palm Vein Identification System Based On Gabor Wavelet Features, Ran Wang, Guoyou Wang, Zhong Chen, Zhigang Zeng, Yong Wang

Research Collection School Of Computing and Information Systems

As a new and promising biometric feature, thermal palm vein pattern has drawn lots of attention in research and application areas. Many algorithms have been proposed for authentication since palm vein has special characteristics, such as liveness detection and hard to forgery. However, the detection accuracy of palm vein quite depends on the preprocessing and feature representation, which is supposed to be translation and rotation invariant to some extent. In this paper, we proposed an effective method for palm vein identification based on Gabor wavelet features which contains five steps: image acquisition, ROI detection, image preprocessing, features extraction, and matching. …

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Integrating Motivated Learning And K-Winner-Take-All To Coordinate Multi-Agent Reinforcement Learning, Teck-Hou Teng, Ah-Hwee Tan, Janusz Starzyk, Yuan-Sin Tan, Loo-Nin Teow Aug 2014

Integrating Motivated Learning And K-Winner-Take-All To Coordinate Multi-Agent Reinforcement Learning, Teck-Hou Teng, Ah-Hwee Tan, Janusz Starzyk, Yuan-Sin Tan, Loo-Nin Teow

Research Collection School Of Computing and Information Systems

This work addresses the coordination issue in distributed optimization problem (DOP) where multiple distinct and time-critical tasks are performed to satisfy a global objective function. The performance of these tasks has to be coordinated due to the sharing of consumable resources and the dependency on non-consumable resources. Knowing that it can be sub-optimal to predefine the performance of the tasks for large DOPs, the multi-agent reinforcement learning (MARL) framework is adopted wherein an agent is used to learn the performance of each distinct task using reinforcement learning. To coordinate MARL, we propose a novel coordination strategy integrating Motivated Learning (ML) …

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