• Journal of Information Processing Systems
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• v.14 no.2
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• pp.346-376
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• 2018

Digital forensics is a vital part of almost every criminal investigation given the amount of information available and the opportunities offered by electronic data to investigate and evidence a crime. However, in criminal justice proceedings, these electronic pieces of evidence are often considered with the utmost suspicion and uncertainty, although, on occasions are justifiable. Presently, the use of scientifically unproven forensic techniques are highly criticized in legal proceedings. Nevertheless, the exceedingly distinct and dynamic characteristics of electronic data, in addition to the current legislation and privacy laws remain as challenging aspects for systematically attesting evidence in a court of law. This article presents a comprehensive study to examine the issues that are considered essential to discuss and resolve, for the proper acceptance of evidence based on scientific grounds. Moreover, the article explains the state of forensics in emerging sub-fields of digital technology such as, cloud computing, social media, and the Internet of Things (IoT), and reviewing the challenges which may complicate the process of systematic validation of electronic evidence. The study further explores various solutions previously proposed, by researchers and academics, regarding their appropriateness based on their experimental evaluation. Additionally, this article suggests open research areas, highlighting many of the issues and problems associated with the empirical evaluation of these solutions for immediate attention by researchers and practitioners. Notably, academics must react to these challenges with appropriate emphasis on methodical verification. Therefore, for this purpose, the issues in the experiential validation of practices currently available are reviewed in this study. The review also discusses the struggle involved in demonstrating the reliability and validity of these approaches with contemporary evaluation methods. Furthermore, the development of best practices, reliable tools and the formulation of formal testing methods for digital forensic techniques are highlighted which could be extremely useful and of immense value to improve the trustworthiness of electronic evidence in legal proceedings.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.11
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• pp.2087-2102
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• 2011

The purpose of this study is to develop and present a strategic framework for mobile Internet marketing in the $Web^2$ environment. The $Web^2$ mobile Internet marketing is characterized by services, such as augmented reality and social network services. Considering the changes in the effects and types of advertisements in the mobile Internet, few studies of mobile advertisements have been conducted thus far in the $Web^2$ environment, including the cloud computing environment. Accordingly, this research aims to identify the relationships between importance and satisfaction and to uncover the characteristics of mobile advertisements through smart phones using the IPA (Importance-performance Analysis) methodology in the $Web^2$ environment. To induce the minimum required characteristics of a mobile advertisement in terms of the importance and satisfaction of IPA, Kano's model is applied to this analysis. The study also probes the relationships between the overall satisfaction and factors of each dimension of IPA through a regression analysis. As a result, this study presents four types of $Web^2$ mobile Internet marketing strategies. It was also confirmed that the maintenance reinforcement factors of the IPA dimension affect the degree of overall satisfaction. This study has implications for businesses and researchers preparing $Web^2$ mobile services and marketing.

• Journal of the Korea Society of Computer and Information
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• v.17 no.1
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• pp.19-30
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• 2012

Based on the internet-based infrastructures such as various information devices, social network systems and cloud computing environments, distributed and sharable data are growing explosively. Recently, as a data analysis and mining technique for extracting, analyzing and classifying the inherent and useful knowledge and information, Formal Concept Analysis on binary or many-valued data has been successfully applied in many diverse fields. However, in formal concept analysis, there has been little research conducted on analyzing interval data whose attributes have some interval values. In this paper, we propose a new approach for classification of interval data based on the formal concept analysis. We present the development of a supporting tool(iFCA) that provides the proposed approach for the binarization of interval data table, concept extraction and construction of concept hierarchies. Finally, with some experiments over real-world data sets, we demonstrate that our approach provides some useful and effective ways for analyzing and mining interval data.

• Journal of the Korea Society of Computer and Information
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• v.25 no.7
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• pp.143-150
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• 2020

Recently, many companies are interested in smart factory services. Because various smart factory services are provided by the combination of mobile devices, cloud computing, and IoT services. However, many workers turn away from these systems because most of them are not implemented from the worker's point of view. To solve this, we implemented a development tool that allows field workers to produce their own services so that workers can easily create smart factory services. Manufacturing data is collected in real time from sensors which are connected to manufacturing facilities and stored within smart factory platforms. Implemented development tools can produce services such as monitoring, processing, analysis, and control of manufacturing data in drag-and-drop. The implemented system is effective for small manufacturing companies because of their environment: making various services quickly according to the company's purpose. In addition, it is assumed that this also will help workers' improve operation skills on running smart factories and fostering smart factory capable personnel.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.6
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• pp.379-386
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• 2014

Recently, middleboxes play a key role in many network settings such as firewalls, VPN gateways, proxies, intrusion detection and prevention systems, and WAN optimizers. However, achieving the performance and security benefits that middleboxes offer is highly complex, and therefore it is essential to manage middleboxes efficiently and dynamically. In this respect, Software-Defined Networking (SDN) offers a promising solution for middlebox policy enforcement by using logically centralized management, decoupling the data and control planes, and providing the ability to programmatically configure forwarding rules. Also, cloud computing and distributed Network Function Virtualization (NFV) can enable to manage middleboxes more easily. We introduce SDN-based middlebox management framework in integrated wired and wireless networks and discuss the further issues.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1005-1018
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• 2017

This paper proposes an App Visualization (AppV) based on IoT Self-diagnosis Micro Control Unit (ISMCU) for accident prevention. It collects a current status of a vehicle through a sensor, visualizes it on a smart phone and prevents vehicles from accident. The AppV consists of 5 components. First, a Sensor Layer (SL) judges noxious gas from a current vehicle and a driver's driving habit by collecting data from various sensors such as an Accelerator Position Sensor, an O2 sensor, an Oil Pressure Sensor, etc. and computing the concentration of the CO collected by a semiconductor gas sensor. Second, a Wireless Sensor Communication Layer (WSCL) supports Zigbee, Wi-Fi, and Bluetooth protocol so that it may transfer the sensor data collected in the SL to ISMCU and the data in the ISMCU to a Mobile. Third, an ISMCU integrates the transferred sensor information and transfers the integrated result to a Mobile. Fourth, a Mobile App Block Programming Tool (MABPT) is an independent App generation tool that changes to visual data just the vehicle information which drivers want from a smart phone. Fifth, an Embedded Module (EM) records the data collected through a Smart Phone real time in a Cloud Server. Therefore, because the AppV checks a vehicle' fault and bad driving habits that are not known from sensors and performs self-diagnosis through a mobile, it can reduce time and cost spending on accidents caused by a vehicle's fault and noxious gas emitted to the outside.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.3
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• pp.11-20
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• 2018

Recently companies have increased the new projects to improve and innovate the business process in order to adopt the advanced technologies such as IoT (Internet of Things), Big Data Analysis, Cloud Computing, mobile and artificial intelligence technologies for sustainable competitive advantages under rapid technological and socioeconomic external environmental changes. However, there are obstacles to achieve the project goals, corporate's strategy and objectives due to various kind of risks based on characteristics of projects and conflicts of stakeholders participated on projects. Hence, the solutions are required to resolve the various kind of risks and conflicts of stakeholders. The objectives of this study are to investigate the impact of the project governance, agency conflicts on the project success based on agency theory by using the statistical hypothesis testing the relationship among those variables. As a result of hypothesis testing, we could find that the project governance impacts positively on project success and negatively on the agency conflicts. Further, the agency conflicts impacts negatively on the project success. Finally, we could find that the agency conflicts such as goal conflict, different risk attitude and information asymmetry between project manager and team members impact negatively on the project success. Meanwhile, the project governance impact positively on the project success, negatively impact on the agency conflicts such as goal conflict, different risk attitude and information asymmetry between project manager and project team members. In order to increase the project success rate, the project governance institutions such as PGB (Project Governance Board), EPMO (Enterprise Project Management Office), PSC (Project Steering Committee) are needed to prevent or reduce the agency conflicts between project manager and team members.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.229-237
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• 2013

As demand for IT services increase, which are based on SOA and cloud computing, service level agreements (SLAs) have received more attention in the parties concerned. An SLA is usually a paper contract written in natural language. SLA management tools which are commercially available, implement SLAs implicitly in the application with a procedural language. This makes automation of SLA management difficult. It is also laborious to maintain contract management systems because changes in a contract give rise to extensive modifications in the source code. We see the source of the trouble is the existence of documentary SLAs (paper contracts) and corresponding executable SLAs (contracts coded in the procedural language). In this paper, to resolve the current SLA management problems we propose an active SLM (Active Service Level Management) system, which is based on the active SLA (Active Service Level Agreement). In the proposed system, the separated management and processing of dual SLAs can be unified into a single process with the introduction of active SLAs (ASLAs).

• Journal of Information Technology and Architecture
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• v.10 no.3
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• pp.371-378
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• 2013

Video-demand learning through E-learning continuously increases on these days. However, not all video-demand learning systems can be utilized properly. When students study by education videos not matched to level of their own, it is possible for them to lose interest in learning. It causes to reduce the learning efficiency. In order to solve the problem, we need to develop a recommendation system which recommends customized education videos according the study levels of students. In this paper, we estimate the study level based on the history of students' watching behaviors such as average watching time, skipping and rewinding of videos. In the experimental section, we demonstrate our recommendation system using real students' video watching history to show that our system is feasible in a practical environment.

• Informatization Policy
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• v.21 no.2
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• pp.24-48
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• 2014

Smart working, along with the spread of smart device use, has recently garnered increased interest. The issue has become focused on low labor productivity over working time, work-life balance and social discussion. There has also been a shift in working styles due to the development of mobile, security, and cloud computing-related IT technology support and activation of the smart work environment. However, former research show concern that smart working may not meet the initially expected levels of productivity. This empirical study was carried out to introduce the impact of teleworking on increased productivity and satisfaction in companies and public institutions through user interviews, a socio-technical systems approach and surveys. To summarize the results of this study, 'Telework satisfaction' is directly influenced by 'Work-life balance', 'Telework-system fit, and 'Telework-job fit'. Direct impact factors of 'Telework productivity'are 'Telework-job fit', 'Telework satisfaction', and 'Telework environment quality'.