Selected Papers from the First International Symposium on Future ICT (Future-ICT 2019) in Conjunction with 4th International Symposium on Mobile Internet Security (MobiSec 2019)

The International Symposium on Future ICT (Future-ICT 2019) in conjunction with the 4th International Symposium on Mobile Internet Security (MobiSec 2019) was held on 17–19 October 2019 in Taichung, Taiwan. The symposium provided academic and industry professionals an opportunity to discuss the latest issues and progress in advancing smart applications based on future ICT and its relative security. The symposium aimed to publish high-quality papers strictly related to the various theories and practical applications concerning advanced smart applications, future ICT, and related communications and networks. It was expected that the symposium and its publications would be a trigger for further related research and technology improvements in this field

Virtual Reality Games for Motor Rehabilitation

This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion

L337 Soccer Moms: Conceptions of Hardcore and Casual in the Digital Games Medium

As digital games have become increasingly significant in the entertainment media landscape, the terms “casual” and “hardcore” have become the primary ways to describe gaming audiences, genres, and gameplay. However, these terms are saturated with outdated stereotypes involving gender, age, and class. Focusing on industrial discourse, this thesis examines this dichotomy, emphasizing areas of discontinuity and overlap to question why these terms have become so ubiquitous in gaming discourse and what functions they fulfill for a variety of groups including the industry, advertisers, and audience members. Ultimately, I suggest that these terms need to be replaced in order to move beyond restrictive stereotypes, proposing a new framework for digital games that takes into consideration user motivation, personal investment, and historical specificity

Improving trust in cloud, enterprise, and mobile computing platforms

Trust plays a fundamental role in the adoption of technology by society. Potential consumers tend to avoid a particular technology whenever they feel suspicious about its ability to cope with their security demands. Such a loss of trust could occur in important computing platforms, namely cloud, enterprise, and mobile platforms. In this thesis, we aim to improve trust in these platforms by (i) enhancing their security mechanisms, and (ii) giving their users guarantees that these mechanisms are in place. To realize both these goals, we propose several novel systems. For cloud platforms, we present Excalibur, a system that enables building trusted cloud services. Such services give cloud customers the ability to process data privately in the cloud, and to attest that the respective data protection mechanisms are deployed. Attestation is made possible by the use of trusted computing hardware placed on the cloud nodes. For enterprise platforms, we propose an OS security model—the broker security model—aimed at providing information security against a negligent or malicious system administrator while letting him retain most of the flexibility to manage the OS. We demonstrate the effectiveness of this model by building BrokULOS, a proof-of-concept instantiation of this model for Linux. For mobile platforms, we present the Trusted Language Runtime (TLR), a software system for hosting mobile apps with stringent security needs (e.g., e-wallet). The TLR leverages ARM TrustZone technology to protect mobile apps from OS security breaches.Für die gesellschaftliche Akzeptanz von Technologie spielt Vertrauen eine entscheidende Rolle. Wichtige Rechnerplattformen erfüllen diesbezüglich die Anforderungen ihrer Nutzer jedoch nicht zufriedenstellend. Dies trifft insbesondere auf Cloud-, Unternehmens- und Mobilplattformen zu. In dieser Arbeit setzen wir uns zum Ziel, das Vertrauen in diese Plattformen zu stärken, indem wir (1) ihre Sicherheitsmechanismen verbessern sowie (2) garantieren, dass diese Sicherheitsmechanismen aktiv sind. Zu diesem Zweck schlagen wir mehrere neuartige Systeme vor. Für Cloud-Plattformen präsentieren wir Excalibur, welches das Erstellen von vertrauenswürdigen Cloud-Diensten ermöglicht. Diese Cloud-Dienste erlauben es den Benutzern, ihre Daten in der Cloud vertraulich zu verarbeiten und sich darüber hinaus den Einsatz entsprechender Schutzvorkehrungen bescheinigen zu lassen. Eine solche Attestierung geschieht mit Hilfe von Trusted Computing Hardware auf den Cloud-Servern. Für Unternehmensplattformen stellen wir ein Sicherheitsmodell auf Betriebssystemebene vor—das Broker Security Model. Es zielt darauf ab, Informationssicherheit trotz fahrlässigem oder böswilligem Systemadministrator zu gewährleisten, ohne diesen bei seinen Administrationsaufgaben stark einzuschränken. Wir demonstrieren die Leistungsfähigkeit dieses Modells mit BrokULOS, einer Prototypimplementierung für Linux. Für Mobilplattformen stellen wir die Trusted Language Runtime (TLR) vor, ein Softwaresystem zum Hosting von mobilen Anwendungen mit strikten Sicherheitsanforderungen (z.B. elektronische Bezahlfunktionen). TLR nutzt die ARM TrustZone-Technologie um mobile Anwendungen vor Sicherheitslücken im Betriebssystem selbst zu schützen

Evolutionary Computation 2020

Intelligent optimization is based on the mechanism of computational intelligence to refine a suitable feature model, design an effective optimization algorithm, and then to obtain an optimal or satisfactory solution to a complex problem. Intelligent algorithms are key tools to ensure global optimization quality, fast optimization efficiency and robust optimization performance. Intelligent optimization algorithms have been studied by many researchers, leading to improvements in the performance of algorithms such as the evolutionary algorithm, whale optimization algorithm, differential evolution algorithm, and particle swarm optimization. Studies in this arena have also resulted in breakthroughs in solving complex problems including the green shop scheduling problem, the severe nonlinear problem in one-dimensional geodesic electromagnetic inversion, error and bug finding problem in software, the 0-1 backpack problem, traveler problem, and logistics distribution center siting problem. The editors are confident that this book can open a new avenue for further improvement and discoveries in the area of intelligent algorithms. The book is a valuable resource for researchers interested in understanding the principles and design of intelligent algorithms

An Efficient Data-Hiding Scheme Based on Multidimensional Mini-SuDoKu

The massive Internet of Things (IoT) connecting various types of intelligent sensors for goods tracking in logistics, environmental monitoring and smart grid management is a crucial future ICT. High-end security and low power consumption are major requirements in scaling up the IoT. In this research, we propose an efficient data-hiding scheme to deal with the security problems and power saving issues of multimedia communication among IoT devises. Data hiding is the practice of hiding secret data into cover images in order to conceal and prevent secret data from being intercepted by malicious attackers. One of the established research streams of data-hiding methods is based on reference matrices (RM). In this study, we propose an efficient data-hiding scheme based on multidimensional mini-SuDoKu RM. The proposed RM possesses high complexity and can effectively improve the security of data hiding. In addition, this study also defines a range locator function which can significantly improve the embedding efficiency of multidimensional RM. Experimental results show that our data-hiding scheme can not only obtain better image quality, but also achieve higher embedding capacity than other related schemes

Proceedings of the 9th international conference on disability, virtual reality and associated technologies (ICDVRAT 2012)

The proceedings of the conferenc

JURI SAYS:An Automatic Judgement Prediction System for the European Court of Human Rights

In this paper we present the web platform JURI SAYS that automatically predicts decisions of the European Court of Human Rights based on communicated cases, which are published by the court early in the proceedings and are often available many years before the final decision is made. Our system therefore predicts future judgements of the court. The platform is available at jurisays.com and shows the predictions compared to the actual decisions of the court. It is automatically updated every month by including the prediction for the new cases. Additionally, the system highlights the sentences and paragraphs that are most important for the prediction (i.e. violation vs. no violation of human rights)